Publications

COPYRIGHT: The following materials are copyrighted by the corresponding publishers (e.g. ACM, IEEE, Springer Verlag). You should download them only if you accept and obey the terms and restrictions defined by the respective publishers, including only use the downloaded materials for personal or educational purpose. The online version may be slightly older than the printed version available at the respective publisher's website.

2024

Wenqi Wei and Ling Liu. Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance, ACM Computing Surveys. Accepted Feb. 2024. Also available at ArXiv
Sihao Hu, Tiansheng Huang, Ka-Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu. ZipZap: Efficient Training of Language Models for Ethereum Fraud Detection, ACM World Wide Web 2024. (accepted) Also available at ArXiv
Fatih Ilhan, Ka Ho Chow, Sihao Hu, Tiansheng Huang, Selim Tekin, Wenqi Wei, Yanzhao Wu, Myungin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu, Ling Liu. Adaptive Deep Neural Network Inference Optimization with EENet. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, Jan 4-8, 2024. An early version in ArXiv
Kai Ho Chow, Umesh Desphande, Sangeetha Seshadri, Ling Liu. Atlas: Hybrid Cloud Migration Advisor for Interactive Microservices, The European Conference on Computer Systems (EuroSys 2024). April 22-25, 2024, Athens. Arxiv, Open source: https://github.com/git-disl/AtlasAtlas.
Gaoyang Liu, Tianlong Xu, Rui Zhang, Zixiong Wang, Chen Wang, and Ling Liu. Gradient-Leaks: Enabling Black-box Membership Inference Attacks against Machine Learning Models, IEEE Transactions on Information Forensics and Security (TIFS). 2024, Volume 19, pp427-440, Print ISSN: 1556-6013, Online ISSN: 1556-6021, Digital Object Identifier: 10.1109/TIFS.2023.3324772. https://ieeexplore.ieee.org/document/10285881.
Wenqi Wei and Ling Liu. Gradient Coupling Effect of Poisoning Attacks in Federated Learning. International Conference on System Sciences (HICSS), Jan 3 - 6, 2024, Hawaiian Village, Waikiki, Hawaii, USA

2023

Tiansheng Huang, Sihao Hu, Ka Ho Chow, Fatih Ilhan, Semin Tekin, Ling Liu. Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training. The Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023), Dec. 10-16, 2023. New Orleans, USA.
Shihao Hu, Tiansheng Huang, Fatih Ilhan, Selim Tekin. Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives. Proceedings of IEEE TPS 2023 Vision track. Nov. 1-3, 2023, Atlanta, GA. GPTLens on Github
Xigang Sun; Jingya Zhou; Ling Liu; Zhen Wu. CasTformer: A novel cascade transformer towards predicting information diffusion, Information Sciences, 2023-11, DOI: 10.1016/j.ins.2023.119531. Also available on ArXiv and open source of CasTformer on Github.
Sangwon Lee, Junho Hong, Ling Liu and Wonik Choi. TS-Fastformer: Fast Transformer for Time-Series Forecasting. ACM Transactions on Intelligent Systems and Technology (TIST), Accepted on Oct 19, 2023.
Yanzhao Wu, Ka Ho Chow, Wenqi Wei, and Ling Liu. Hierarchical Pruning of Deep Ensembles with Focal Diversity. ACM Transactions on Intelligent Systems and Technology (TIST), Accepted on Oct 19. 2023. arXiv
Fatih Ilhan, Gong Su, and Ling Liu. ScaleFL: Resource-Adaptive Federated Learning with Heterogeneous Clients. The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), June 18-22, 2023. Vancouver, Canada. also available on Github and ArXivi. accessible at here
Ka Ho Chow, LingLiu, WenqiWei, Fatih Ilhan and Yanzhao Wu. STDLens: Securing Federated Learning Against Model Hijacking Attacks. The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), June 18-22, 2023. Vancouver, Canada. also available on Github and ArXiv.
Youssef Elmougy and Ling Liu. Demystifying the Detection of Fraudulent Transactions on the Bitcoin Blockchain, Proceedings of ACM SIGKDD 2023 (Aug 6-10, Long Beach, CA). Applied Data Science Track. ArXiv Elliptic++ is available on github
Ka Ho Chow, Umesh Desphande, Veera Deenadhayalan, Sangeetha Seshadri, Ling Liu. SCAD: A Scalability Advisor for Interactive Microservices on Hybrid Clouds, ACM SIGMOD, June 18-23, 2023, Seattle, USA.
Sihao Hu, Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He, Ling Liu. BERT4ETH: Pre-training of Transformer Encoder Representation for Ethereum Fraud Detection, The Web Conference 2023 (May 2-4, 2023, Austin, TX) Also available at ArXiv and on Github Also available on ArXiv.
Wenqi Wei, Ka Ho Chow, Yanzhao Wu, and Ling Liu. Model Cloaking against Gradient Leakage, Proceeding of IEEE International Conference on Data Mining (ICDM) 2023, Dec. 1-4, Shanghai, China. ModelCloak on Github.
Yanzhao Wu, Ka Ho Chow, Wenqi Wei and Ling Liu. Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness, Proceeding of IEEE International Conference on Data Mining (ICDM) 2023, Dec. 1-4, Shanghai, China. ArXiv
Minhui Xue, Surya Nepal, Ling Liu, Subbu Sethuvenkatraman, Xingliang Yuan, Carsten Rudolph, Ruoxi Sun and Greg Eisenhauer. RAI4IoE: Responsible AI for Enabling the Internet of Energy. Proceedings of IEEE TPS 2023 Vision track. Nov. 1-3, 2023, Atlanta, GA.
Sanjana Vijay Ganesh, Yanzhao Wu, Gaowen Liu, Ramana Kompella, and Ling Liu. Amplifying Object Tracking Performance on Edge Devices. Proceedings of IEEE CogMI 2023 Vision track, Nov. 1-3, 2023, Atlanta, GA. ArXiv and EMO on Github.
Dohee Kim, Sunghyun Sim, Bori Yoon, Ling Liu and Hyerim Bae. Improving Time-series Classification Accuracy based on Temporal Feature Representation Learning using CRU-LSTM Autoencoder. IEEE CogMI 2023. Nov. 2023 Atlanta, GA, USA
Chungheon Yi, Wonik Choi, and Ling Liu. Revisiting Metric Space Similarity Methods For High Performance Deep Embedding Learning. Proceedings of IEEE CogMI 2023 Vision track, Nov. 1-3, 2023, Atlanta, GA.
Feng Luo, Ling Liu, Geoff Wang, Vijay Kumar, Mark S. Ashton, Jacob Abernethy, Fatemeh Afghah, Matthew Browning, David Coyle, Philip Dames, Tom O'Halloran, James Hayes, Chenfanfu Jiang, Puskar Khanal, Sara Kuebbing, Nianyi Li, JingJing Liang, Ninghao Liu, Steve McNulty, Christopher M. Oswalt, Neil Pederson, Demetri Terzopoulos, Christopher W. Woodall, Yongkai Wu, Jian Yang, Yin Yang, Liang Zhao. Artificial Intelligence for Climate Smart Forestry: A Forward-Looking Vision, Proceedings of IEEE CogMI 2023 Vision track, Nov. 1-3, 2023, Atlanta, GA.
Minhui Xue, Surya Nepal, Ling Liu, Subbu Sethuvenkatraman, Xingliang Yuan, Carsten Rudolph, Ruoxi Sun and Greg Eisenhauer. RAI4IoE: Responsible AI for Enabling the Internet of Energy. Proceedings of IEEE TPS 2023 Vision track. Nov. 1-3, 2023, Atlanta, GA.
Hui Yan, Weidong Bao, Xiaoqing Li, Xiaomin Zhu, Yaohong Zhang, Ji Wang, Ling Liu. Fault-Tolerant Scheduling of Heterogeneous UAVs for Data Collection of IoT Applications,IEEE Internet of Things Journal. DOI: 10.1109/JIOT.2023.3309705
ChungheonYi, Ling Liu and Wonik Choi. SimilarNet: Pairwise Similarity Comparator Layer for Versatile Comparison Models, IEEE Access. Vol. 11, pages: 121603-121616. Print ISSN: 2169-3536, Online ISSN: 2169-3536, Digital Object Identifier: 10.1109/ACCESS.2023.3327075
Dohee Kim, Sunghyun Sim, Bori Yoon, Ling Liu and Hyerim Bae. Improving Time-series Classification Accuracy based on Temporal Feature Representation Learning using CRU-LSTM Autoencoder. IEEE CogMI 2023. Nov. 2023 Atlanta, GA, USA
Fatih Ilhan, Selim F. Tekin, Sihao Hu, Tiansheng Huang, Ka Ho Chow, Ling Liu. Hierarchical Deep Neural Network Inference for Device-Edge-Cloud Systems. The Web Conference 2023 (May 2-4, 2023, Austin, TX).
Fatih Ilhan, Gong Su, Qingyang Wang, Ling Liu. Scalable Federated Learning with Systems Heterogeneity. IEEE 2023 International Conference on Distributed Computing Systems. June 2023, HongKong. Also available on ArXiv.
Wenqi Wei, Ling Liu, Jingya Zhou, Ka Ho Chow, Yanzhao Wu. Securing Distributed SGD against Gradient Leakage Threats. IEEE Transactions on Parallel and Distributed Systems (TPDS), Accepted April, 2023. DOI: 10.1109/TPDS.2023.3273490 Also available on ArXiv.
Imam Mustafa Kamal, Hyerim Bae, and Ling Liu. ``Metric Learning as a Service with Covariance Embedding'', IEEE Transactions on Services Computing. Accepted on April 6, 2023 Also available at ArXiv
Yanzhao Wu and Ling Liu. ``Selecting and Composing Learning Rate Policies for Deep Neural Networks'', ACM Transactions on Intelligent Systems and Technology (TIST), Vol. 14, No. 2, 2023.
Chen Wang, Mengting Yuan, Rui Zhang, Kai Peng, and Ling Liu. Efficient Point-of-Interest Recommendation Services with Heterogenous Hypergraph Embedding, IEEE Transactions on Services Computing. Vol. 12 No. 2, pp1132-1143. March-April 2023. ISSN: 1939-1374, Digital Object Identifier: 10.1109/TSC.2022.3187038.
Bingbing Song; Ruxin Wang; Song Gao; Yunyun Dong; Ling Liu; Wei Zhou. Securing deep learning as a service against adaptive high frequency attacks with MMCAT. IEEE Transactions on Services Computing, 2023 DOI: 10.1109/TSC.2023.3286583
ChungheonYi, Ling Liu and Wonik Choi. SimilarNet: Pairwise Similarity Comparator Layer for Versatile Comparison Models, IEEE Access. Sept 2023.
Ji Wang, Hui Yan, Weidong Bao, Xiaomin Zhu and Ling Liu. Data Offloading Enabled by Heterogeneous UAVs for IoT Applications under Uncertain Environments. Special issue on Empowering Future Generation Systems, IEEE Internet of Things. Vol. 10, No. 5, March 2023. DOI: 10.1109/JIOT.2022.3151053. pp3928-3943.
Wenhua Xiao, Cheng Yang, Ji Wang, Xiaomin Zhu, Weidong Bao, Xiaojie Feng, Yu Xie, Wei Cao, Feng Yu, and Ling Liu. `` YISHAN: Managing Large-scale Cloud Database Instances via Machine Learning. IEEE Transactions on Services Computing'', Volume: 16, Issue: 1, 01 Jan.-Feb. 2023. pp724-738/ DOI: 10.1109/TSC.2021.3131249.
Pei Ren, Ling Liu, Xiuquan Qiao, and Junliang Chen. Distributed Edge System Orchestration for Web-based Mobile Augmented Reality Services in 5G Networks, IEEE Transactions on Services Computing, Volume: 16, Issue: 3, 01 May-June 2023), 13 July, 2023. Pp1778-1792. DOI: 10.1109/TSC.2022.3190375
Emre Yigitoglu, Emre Gursoy and Ling Liu. ``Utility-aware and Privacy-preserving Mobile Query Services'', IEEE Transactions on Services Computing. Vol.16, No.2 March-April,2023. pp1458-1472. ArXiv version.
Xigang Sun, Jingya Zhou, Ling Liu and Wenqi Wei. ``Explicit Time Embedding Based Cascade Attention Network for Information Popularity Prediction'', Information Processing and Management. Elsevier. Volume 60, Issue 3, May 2023, 103278.

2022

Ka Ho Chow and Ling Liu. ``Boosting Object Detection Ensembles with Error Diversity'', IEEE International Conference on Data Mining (ICDM 2022), Nov. 28-Dec. 1, 2022, Orlando, FL, USA.
Zhongwei Xie, Lin Li, Luo Zhong, Jianquan Liu and Ling Liu. ``Cross-Modal Retrieval between Event-Dense Text and Image''. Proceedings of ACM International Conference on Multimedia Retrieval (ICMR 2022). Newark, NJ, USA, June 27-30, 2022. Best Paper Award.
Ka-Ho Chow, Umesh Deshpande, Sangeetha Seshadri and Ling Liu, ``DeepRest: Deep Resource Estimation for Interactive Cloud Microservices'', The European Conference on Computer Systems (EuroSysi 2022), April 5-8, 2022, Rennes, France. Code at Github
Emre Gursoy, Ling Liu, Ka Ho Chow, Stacey Truex, Wenqi Wei. ``An Adversarial Approach to Protocol Analysis and Selection in Local Differential Privacy''. IEEE Transactions on. Information Forensics and Security. Vol. 17, April 25, 2022. pp1785-1799
Zhen Wu, Jingya Zhou, Ling Liu, Chaozhuo Li, Fei Gu. ``Deep Popularity Prediction in Multi-Source Cascade with HERI-GCN''. The 2022 IEEE International Conference on Data Engineering (ICDE 2022). Open Source at https://github.com/Les1ie/HERI-GCN
Pei Ren, Ling Liu, Xiuquan Qiao, and Junliang Chen. ``Distributed Edge System Orchestration for Web-based Mobile Augmented Reality Services in 5G Networks", IEEE Transactions on Services Computing. Vol. 16, No. 1, Jan-Feb., 2023
Chen Wang, Mengting Yuan, Rui Zhang, Kai Peng, and Ling Liu. ``Efficient Point-of-Interest Recommendation Services with Heterogenous Hypergraph Embedding", IEEE Transactions on Services Computing. ISSN: 1939-1374, Digital Object Identifier: 10.1109/TSC.2022.3187038. Accepted in June 2022.
Ji Wang, Hui Yan, Weidong Bao, Xiaomin Zhu and Ling Liu. ``Data Offloading Enabled by Heterogeneous UAVs for IoT Applications under Uncertain Environments''. Special issue on Empowering Future Generation Systems, IEEE Internet of Things. Accepted in Feb. 2022.
Jaejin Seo, Ling Liu and Wonik Choi. ``TA-SBERT: Improving Sentence Representation using Token Attention", IEEE Access, 2022.
Zhongwei Xie, Ling Liu, Yanzhao Wu, Lin Li, Luo Zhong. ``Learning Text-Image Joint Embedding using Deep Calibration Framework for Efficient Cross-Modal Retrieval''. ACM Transactions on Information Systems (TOIS), Vol. 40, No. 4, October, 2022. Also available at ArXiv
Wenqi Wei and Ling Liu. ``Gradient Leakage Attack Resilient Deep Learning'', IEEE Transactions on Information Forensics and Security. Vol 17. 2022, pp 303-316. ISSN: 1556-6013. Also available at arXivi here
Jingya Zhou, Ling Liu, Wenqi Wei, Jianxi Fan. ``Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding''. ACM Computing Surveys. 2021. Also available on arXiv
Yanzhao Wu, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin, Wenqi Wei, Qi Zhang. ``Comparative Measurement Study of Deep Learning as a Service Framework'', IEEE Transactions on Services Computing. Jan-Feb, 2022, Vol. 15, No. 1. pp551-566. (accepted July 2019) GTDLBench code package on github.
Ji Wang, Hui Yan, Weidong Bao, Xiaomin Zhu and Ling Liu. Data Offloading Enabled by Heterogeneous UAVs for IoT Applications under Uncertain Environments. Special issue on Empowering Future Generation Systems, IEEE Internet of Things. Feb. 2022.
Ting Li, Yiming Zhang, Hao Liu and Ling Liu. ``Fast Compressive Spectral Clustering for Large Scale Sparse Graph'', IEEE Transactions on Big Data (TBD), Feb. 2022, Vol. 8, No. 1, pp193-202, 10.1109/TBDATA.2019.2931532.
Wenhua Xiao, Cheng Yang, Ji Wang, Xiaomin Zhu, Weidong Bao, Xiaojie Feng, Yu Xie, Wei Cao, Feng Yu, and Ling Liu. YISHAN: Managing Large-scale Cloud Database Instances via Machine Learning. IEEE Transactions on Services Computing. Accepted.

2021

Yanzhao Wu, Ling Liu, Zhongwei Xie, Ka Ho Chow, Wenqi Wei. ``Boosting Ensemble Accuracy by Revising Ensemble Diversity Metrics'', IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2021), June 19-25, 2021. Virtual. Open Source at github/git-disl.
Xuxin Zhang, Jian Chen, Rui Zhang, Chen Wang, and Ling Liu. ``Attacking Recommender Systems with Plausible Profiles'', IEEE Transactions on Information Forensics and Security. Vol. 16, pp4788-4800, Oct. 1, 2021.
Ka Ho Chow and Ling Liu. ``Robust Object Detection Fusion Against Deception'', ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD 2021), Singapore, Aug14-18, 2021, virtual conference. Open Source at github/git-disl
Ka Ho Chow, Umesh Deshpande, Sangeetha Seshadri, Ling Liu. SRA: Smart Recovery Advisor for Cyber Attacks. ACM SIGMOD International Conference on Management of Data (SIGMOD 2021), June 20-25, 2021. Virtual Conference.
Ka Ho Chow, Ling Liu. Perception Poisoning Attacks in Federated Learning. IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (TPS 2021), Virtual Conference, Dec. 13-15, 2021. Github code
Wenqi Wei, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar. ``Gradient Leakage Resilient Federated Learning'', IEEE 2021 Proceedings of International Conference on Distributed Computing Systems (ICDCS 2021). July 7 - Jul 10, 2021, DC, USA. Also made available on ArXiv and Open Source at github/git-disl
Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, and Ka-Ho Chow. "The TSC-PFed Architecture for Privacy-Preserving Federated Learning" IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (TPS 2021), Virtual Conference, Dec. 13-15, 2021
James Bae, Ling Liu, Ka Ho Chow, Yanzhao Wu, Gong Su, Arun Iyengar. ``Transparent Network Memory Storage for Efficient Container Execution in Big Data Clouds'', , IEEE 2021 International Conference on Big Data. Dec. 2021. Also available at ArXiv and CNetMem is open sourced at GitHub.com
Wenqi Cao, Ling Liu, Gong Su, Arun Iyengar. ''Efficient Huge Page Management with Xpage'', IEEE 2021 International Conference on Big Data. Dec. 2021. Also available at ArXiv and XPage is open sourced at GitHub.com
Sunghyun Sim, Hyerim Bae, Ling Liu. ``Bagging Recurrent Event Imputation for Repair of Imperfect Event Log with Missing Categorical Events''. IEEE Transactions on Services Computing.
Yangyang Zhang, Jianxin Li, Yiming Zhang, Lijie Wang, Ling Liu. ``FreeLauncher: Lossless Failure Recovery of Parameter Servers with Ultralight Replication'', IEEE 2021 Proceedings of International Conference on Distributed Computing Systems (ICDCS 2021). July 7 - Jul 10, 2021, DC, USA. ArXiv
Yanzhao Wu, Ling Liu, Ramana Kompella. Parallel Detection for Efficient Video Analytics at the Edge''. Proceedings of IEEE 2021 International Conference on Cognitive Machine Intelligence (CogMI 2021), Dec. 1-3, 2021. Virtual Conference. ArXiv
Zhongwei (Kevin) Xie, Ling Liu, Lin Li and Luo Zhang. ``Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images", ACM CIKM 2021. Also available at ArXiv
Yanzhao Wu and Ling Liu. ``Boosting Deep Ensemble Performance with Hierarchical Pruning'', Proceedings of 2021 IEEE Inf. Conference on Data Mining (ICDM).
James Bae, Ling Liu, Yanzhao Wu, Gong Su and Arun Iyengar. ``RDMAbox : Optimizing RDMA for Memory Intensive Workload'', IEEE 2021 International Conference on ollaboration and Internet Computing (CIC 2021). Best Paper Award
Xiaoke Zhu, Qi Zhang, Taining Cheng, Ling Liu, Wei Zhou and Jing He. DLB: Deep Learning Based Load Balancing. Proceedings of the 2021 IEEE 14th International Conference on Cloud Computing (CLOUD).
Rui Zhang, Rui Xue, Ling Liu. ``Security and Privacy for Healthcare Blockchains'', IEEE Transactions on Services Computing. Also available at ArXiv
Yakun Huang, Xiuquan Qiao, Hongru Zhao, Jian Tang, Ling Liu. ``Towards Video Streaming Analysis and Sharing for Multi-Device Interaction with Lightweight DNNs'', Proceedings of IEEE International Conference on Computer Communications (Infocom) 2021. May 10-13, 2021, Virtual Conference.
Mincheol Kim, Ling Liu and Wonik Choi. ``Multi-GPU Efficient Indexing for Maximizing Parallelism of High Dimensional Range Query Services'', IEEE Transactions on Services Computing. April 2021.
Zhongwei (Kevin) Xie, Ling Liu, Lin Li and Luo Zhang. ``Efficient Deep Feature Calibration for Cross-Modal Joint Embedding Learning", ACM International Conference on Multimodal Interaction, 2021. Also available at arXiv
Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Jifei Wang, Ling Liu, Hai Jin. ``Mining Stable Quasi-Cliques on Temporal Networks'', IEEE Transactions on Systems, Man and Cybernetics: Systems, 2021.
Jian Chen, Xuxin Zhang, Rui Zhang, Chen Wang, Ling Liu. ``De-Pois: An Attack-Agnostic Approach for Generic Defense against Data Poisoning Attacks'', IEEE Transactions on Information Forensics and Security (TIFS). 2021. Also available at ArXiv
Zhongwei (Kevin) Xie, Ling Liu, Yanzhao Wu, Lin Li, Guo Zhang. ``Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service, IEEE Transactions on Services Computing, July 26, 2021. Also available at arXiv
G Liu, Rui Zhang, Y Yang, C Wang, Ling Liu. ``GPS spoofed or not? Exploiting RSSI and TSS in crowdsourced air traffic control data'', Distributed and Parallel Databases 39 (1), pp231-257. 2021.
Pei Ren, Xiuquan Qiao, Yakun Huang, Ling Liu, Calton Pu, Schahram Dustdar, Junliang Chen. ``Edge AR X5: An Edge-Assisted Multi-User Collaborative Framework for Mobile Web Augmented Reality in 5G and Beyond'', IEEE Transactions on Cloud Computing. Early Access. DOI: 10.1109/TCC.2020.3046128.
Yakun Huang, Xiuquan Qiao, Pei Ren, Ling Liu, Calton Pu, Scharam Dustar and Junliang Chen. ``A Lightweight Collaborative Deep Neural Network for the Mobile Web in Edge Cloud'', IEEE Transactions on Mobile Computing. Early Access. DOI: 10.1109/TMC.2020.3043051.

2020

Wenqi Wei, Qi Zhang and Ling Liu. ``Bitcoin Transaction Forecasting with Deep Network Representation Learning'', IEEE Transactions on Emerging Technology (TETC), Special Issue on Secure and Emerging Collaborative Computing and Intelligent Systems. Also avalable on arXiv, and open source code of DLForecast on Github.com/git-disl.
Bei Wang, Ling Xu, Meng Yan, Chao Liu and Ling Liu. ``Multi-Dimension Convolutional Neural Network for Bug Localization'', IEEE Transactions on Services Computing. Also available on arXiv and Open source code on GitHub.
Dukhwan Yu, Wonik Choi, Myoungsoo Kim, Ling Liu. Forecasting Day-Ahead Hourly Photovoltaic Power Generation using Convolutional Self-Attention based LSTM, Special issue on Machine Learning and Optimization with Applications of Power System, Journal of Energies. (ISSN 1996-1073) doi: 10.3390/en13154017
Xiong Gao, Weidong Bao, Xiaomin Zhu, Guanlin Wu, and Ling Liu. ``An Edge Storage Acceleration Service for Collaborative Mobile Devices'', IEEE Transactions on Services Computing. 2020.
Yuming Wang, Yangbo Long, Lai Tu and Ling Liu. ``Delivering Scientific Influence Analysis as a Service on Research Grants Repository". IEEE Transactions on Services Computing. Also available on ArXiv
Wenqi Wei and Ling Liu. ``Robust Deep Learning Ensemble against Deception", IEEE Transaction on Dependable and Secure Computing (TDSC), Special Issue on Secure and Emerging Collaborative Computing and Intelligent Systems. Also available on ArXiv and code on GitHub.
James Bae, Gong Su, Arun Iyengar, Yanzhao Wu, and Ling Liu. ``Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads'', Proceedings of ACM International Symposium on Memory Systems (MEMSYS 2020), Sept 28-Oct 1, 2020, Washington, USA. Also available on arXivi and Code on github.com/git-disl.
Qi Zhang, Zehra Sura, Ashish Kundu, Gong Su, Arun Iyengar, Ling Liu. ``StackVault: Protection from Untrusted Functions'', IEEE 2020 International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS 2020), Dec. 1-3, 2020, Virtual Conference.
Ka Ho Chow, Ling Liu, Emre Gursoy, Stacey Truex, Wenqi Wei and Yanzhao Wu. ``Understanding Object Detection Through An Adversarial Lens''. Proceedings of the 25th European Symposium on Research in Computer Security (ESORICS 2020), Guildford, United Kingdom, September 14-18, 2020. Also available at ArXiv and Open Source Code on Github.com/git-disl.
Wenqi Wei, Ling Liu, Margaret Loper, Emre Gursoy, Stacey Truex, Wenqi Wei and Yanzhao Wu. ``A Framework for Evaluating Client Privacy Leakages in Federated Learning''. Proceedings of the 25th European Symposium on Research in Computer Security (ESORICS 2020), Guildford, United Kingdom, September 14-18, 2020 Also available at ArXiv Open Source Code on Github.com/git-disl.
Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, and Ling Liu. ``Data Poisoning Attacks Against Federated Learning Systems". Proceedings of the 25th European Symposium on Research in Computer Security (ESORICS 2020), Guildford, United Kingdom, September 14-18, 2020. Also available at ArXiv and Open Source Code on Github.com/git-disl.
Stacey Truex, Ling Liu, Ka-Ho Chow, Mehmet Emre Gursoy and Wenqi Wei. ``LDP-Fed: Federated Learning with Local Differential Privacy'', The 2020 International Workshop on Edge System, Analytics and networking (EdgeSys 2020), in conjunction with EuroSys 2020, April 27-30, 2020, Heraklion, Crete, Greece. Best Paper Award. Also available at ArXiv
Semih Sahin, Ling Liu, Wenqi Cao, Qi Zhang, Yanzhao Wu, James Bae. ``Memory Abstraction and Optimization for Distributed Executors''. Proceedings of IEEE International Conference on Collaboration and Internet Computing (CIC 2020), Dec. 1-3, 2020. Pittsburg, USA.
Chungheon Yi, Wonik Choi, Youngjun Jeon, Ling Liu. ``Functional Perceptron using Multi-dimensional Activation Functions''. Proceedings of IEEE 2020 International Conference on Cognitive Machine Intelligence (CogMI 2020), Dec. 1-3, 2020. Pittsburg, USA.
Yanzhao Wu, Ling Liu, Kevin Xie, James Bae, Ka-Ho Chow, Wenqi Wei. ``Promoting High Diversity Ensemble Learning with EnsembleBench'', Proceedings of IEEE 2020 International Conference on Cognitive Machine Intelligence (CogMI 2020), Dec. 1-3, 2020. Pittsburg, USA. Also available on arXiv
Zhongwei (Kevin) Xie, Ling Liu, Yanzhao Wu, Lin Li, Luo Zhong. ``Cross-Modal Joint Embedding with Diverse Semantics''. Proceedings of IEEE 2020 International Conference on Cognitive Machine Intelligence (CogMI 2020), Dec. 1-3, 2020. Pittsburg, USA.
Wenqi Wei, Ling Liu, Magaret Loper, Emre Gursoy, Stacey Truex, Yanzhao Wu. ``Adversarial Deception in Deep Learning: Analysis and Mitigation'', IEEE 2020 International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS 2020), Dec. 1-3, 2020, Pittsburg, USA (an early version in arXiv, May 2018).
Ka Ho Chow, Ling Liu, Margaret Loper, James Bae, Emre Gursoy, Stacey Truex, Wenqi Wei and Yanzhao Wu. ``Adversarial Objectness Gradient Attacks on Real-time Object Detection'', Proceedings of IEEE 2020 International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS 2020), Dec. 1-3, 2020, Pittsburg, USA. An earlier version at arXiv
Emre Gursoy, Vivekanand Rajasekar and Ling Liu. ``Utility-Optimized Synthesis of Differentially Private Location Traces'', IEEE 2020 International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS 2020), Dec. 1-3, 2020, Pittsburg, USA. Also available at ArVix
Emre Gursoy, Acar Tamersoy, Stacey Truex, Wenqi Wei, Ling Liu. ``Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy'', IEEE Transactions on Dependable and Securing Computing (TDSC). Also available at arXiv. CLDP open source code on Github
Wenqi Cao and Ling Liu. ``Hierarchical Orchestration of Disaggregated Memory, IEEE Transactions on Computers. XMemPod code on Github.com/git-disl/.
Pingpeng Yuan, Yujie You, Shuang Zhou, Jin Hai, Ling Liu. ``Providing Fast Reachability Query Services with MGTag: A Multi-Dimensional Graph Labeling Method'', IEEE Transactions on Services Computing.
Yakun Huang, Xiuquan Qiao, Jian Tang, Pei Ren, Ling Liu, Calton Pu and Junliang Chen. ``DeepAdapter: A Collaborative Deep Learning Framework for the Mobile Web Using Context-Aware Network Pruning'', Proceedings of IEEE Infocom 2020.
Dukhwan Yu, Wonik Choi, Myoungsoo Kim, Ling Liu. ``Forecasting Day-Ahead Hourly Photovoltaic Power Generation using Convolutional Self-Attention based LSTM''. Special Issue on Machine Learning and Optimization with Applications of Power System, Journal of Energies. (ISSN 1996-1073)
Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Emre Gursoy, Stacey Truex, Yanzhao Wu. Cross-Layer Strategic Ensemble Defense Against Adversarial Examples, Proceedings of IEEE on Computing, Networking and Communication (ICNC 2020), February 17-20, 2020. Also available on arXiv and Open Source Package XEnsemble-1.0 on Github.com/git-disl.
Ming Xu, Yimeng Fan and Ling Liu. ``Multi-Party Secret Key Generation Over Underwater Acoustic Channels'', IEEE Wireless Communications Letters, Accepted Feb. 2020.
Bowen Fei, Xiaomin Zhu, Daqian Liu, Junjie Chen, Weidong Bao and Ling Liu. ``Elastic Resource Provisioning using Data Clustering in Cloud Service Platform'', IEEE Transactions on Services Computing.
Xinxin Fan, Ling Liu, Rui Zhang, Quanliang Jing and Jingping Bi. ''Decentralized Trust Management: Risk Analysis and Trust Aggregation'', ACM Computing Surveys. Alsrticle 2, Publication date: February 2020. Also available at arXiv.
Pei Ren, Xiuquan Qiao, Yakun Huang, Ling Liu, Schahram Dustdar, Junliang Chen. ``Edge-Assisted Distributed DNN Collaborative Computing Approach for Mobile Web Augmented Reality in 5G Networks'', IEEE Network, Accepted in Dec. 2019.
Yang Zhou, Ling Liu, Kisung Lee, Balaji Palanisamy, Qi Zhang. ''Improving Collaborative Filtering with Social Influence over Heterogeneous Information Networks'', ACM Transactions on Internet Technology (TOIT), Submitted in Sept 2018, and accepted in April, 2020. (handled by Munindar Singh, EIC from 2013 to 2018)
Yanzhao Wu, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin, Wenqi Wei, Qi Zhang. ``Comparative Measurement Study of Deep Learning as a Service Framework'', IEEE Transactions on Services Computing. (accepted July 2019) GTDLBench code package on github.com/git-disl.
Stacey Truex, Ling Liu, Emre Gursoy, Lei Yu, Wenqi Wei. ``Demystifying Membership Inference Attacks in Machine Learning as a Service'', IEEE Transactions on Services Computing. (accpted in Feb 2019) An earlier version is available at arxiv (also available as a technical report, School of CS, Georgia Tech, May 9, 2018). Code on Github.com/git-disl.

2019

Rui Zhang, Rui Xue, and Ling Liu. ``Security and Privacy on Blockchain''. ACM Computing Surveys, July 2019 Article No.: 51 (accepted Feb. 2019).
Stacey Truex, Ling Liu, Emre Gursoy, Wenqi Wei, Lei Yu. Effect of Differential Privacy and Data Skewedness on Membership Inference Vulnerability, Proceedings of the IEEE 2019 International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS 2019). Dec. 12-14, Los Angeles, California USA. Also available at arXiv.
Lei Yu(+,*), Ling Liu, Calton Pu, Ka Ho Chow, Emre Gursoy, Stacey Truex, Ming Hong*, Arun Iyengar*, Gong Su*, Qi Zhang*, Donna Dillenberger*. GRAHIES: Multi-Scale Graph Representation Learning with Latent Hierarchical Structure, Proceedings of the IEEE 2019 International Conference on Cognitive Machine Intelligence (CogMI 2019). Dec. 12-14, Los Angeles, California USA. (+: Georgia Tech; *: IBM TJ Watson).
Ling Liu, Wenqi Wei, Ka-Ho Chow, Margaret Loper, Emre Gursoy, Stacey Truex, Yanzhao Wu. Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness, Proceedings of the 16th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS 2019), Nov. 2019. Also available on arXiv XEnsemble-1.0 on Github.com/git-disl.
Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu. Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks, Proceedings of IEEE 2019 Conference on Big Data (IEEE Big Data 2019), Los Angeles, California, Dec 9-12, 2019. Also an earlier version is available on arXiv. MODEF and its evaluation environment for GTattacksPod and GTdefensesPod are available on Github.
Yanzhao Wu, Ling Liu, Juhyun Bae, Ka-Ho-Chow, Arun Iyengar, Calton Pu Wenqi Wei, Lei Yu and Qi Zhang. Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks, Proceedings of IEEE 2019 Conference on Big Data (IEEE Big Data 2019), Los Angeles, California, Dec 9-12, 2019. Also available on arXiv. LRBench is availabe on github.com/git-disl.
Yang Zhou, Ling Liu, Qi Zhang, Kisung Lee and Balaji Palanisamy. Enhancing Collaborative Filtering with Multi-label Classification, Proceedings of The 8th International Conference on Computational Data and Social Networks (CSoNet 2019). Springer, Lecture Notes in Computer Science book series (LNCS, volume 11917)
Lei Yu, Ling Liu, Calton Pu, Emre Gursoy, Stacey Truex. ``Differentially Private Model Publishing For Deep Learning", Proceedings of the 2019 IEEE Symposium on Security and Privacy. pp.309-326. May 20-22, 2019, The Hyatt Regency, San Francisco, CA doi:10.1109/SP.2019.00019 (also available at arXiv) and slides and Open Source Code on Github.com/git-disl.
Yupeng Xiao, Haiyang Yu, Qian Li, Ling Liu, Ming Xu, Hanchun Xiao. ``MPURank: A Social Hotspot Tracking Scheme Based on Tripartite Graph and Iterative Driven Multi-messages'', IEEE Transactions on Computational Social Systems. 2019. ISSN: 2329-924X, Digital Object Identifier: 10.1109/TCSS.2019.2922431
Chungheon Yi, Wonik Choi, Youngjun Jeon, Ling Liu. ``Pressure Pair Based Floor Localization System Using Barometric Sensor on Smartphone'', Sensors, Special Issue on State-of-the-Art Sensors Technologies. 2019.
Yang Zhou, Ling Liu, Qi Zhang, Kisung Lee and Balaji Palanisamy. Enhancing Collaborative Filtering with Multi-label Classification", Proceedings of The 8th International Conference on Computational Data and Social Networks (CSoNet 2019). Springer LNCS.
Ling Liu, Wenqi Cao, Semih Sahin, Qi Zhang, Juhyun Bae and Yanzhao Wu. ``Memory Disaggregation: Research Problems and Opportunities'', Proceedings of IEEE 2019 International Conference on Distributed Computing Systems (ICDCS 2019), Dallas, Texas, USA, July 7-10, 2019.
Pingpeng Yuan, Longlong Lin, Zhijuan Kou, Hai Jin, and Ling Liu. ``Big RDF Data Storage, Computation, and Analysis: A Strawman's Argument'', Proceedings of IEEE 2019 International Conference on Distributed Computing Systems (ICDCS 2019), Dallas, Texas, USA, July 7-10, 2019.
Yakun Huang, Xiuquan Qiao, Pei Ren, Ling Liu, Calton Pu, Junliang Chen. ``A Lightweight Collaborative Recognition System with Binary Convolutional Neural Network for Web Augmented Reality'', Proceedings of the IEEE 2019 International Conference on Distributed Computing Systems (ICDCS 2019), Dallas, Texas, USA, July 7-10, 2019.
Rui Zhang, Peng Xie, Hongbo Jiang, Chen Wang , Zhu Xiao, and Ling Liu. ``Clustering Noisy Trajectories via Robust Deep Attention Auto-encoders'', IEEE International Conference on Mobile Data Management (MDM 2019), June 10-13, 2019, Hong Kong.
Gaoyang Liu, Rui Zhang, Chen Wang, and Ling Liu. ``Synchronization-Free GPS Spoofing Detection with Crowdscourced Air Traffic Control Data'', IEEE International Conference on Mobile Data Management (MDM 2019), June 10-13, 2019, Hong Kong.
Yiming Zhang, Dongsheng Li, Ling Liu. ``Leveraging Glocality of Cube-Based Networks for Fast Failure Recovery in Distributed RAM Storage'', ACM Transactions on Storage. Volume 15 Issue 1, February 2019. DOI: 10.1145/3289604
Chungheon Yi, Wonik Choi, Youngjun Jeon, Ling Liu. ``Pressure Pair Based Floor Localization System Using Barometric Sensor on Smartphone'', International Journal of Sensors, Special Issue on State-of-the-Art Sensors Technologies. 2019.
Wenhua Xiao, Xiaomin Zhu, Weidong Dao, Ling Liu. ``Cooperative Data Sharing for Mobile Cloudlets under Heterogeneous Environments'', IEEE Transactions on Network and Service Management. Vol.16, No. 2, pp430-444. ISSN 1932-4537. DOI:10.1109/TNSM.2019.2907526
Jingpei Dan, Yuming Wang, Ling Liu. ``Two-phase Framework for Real-time Bridge Structural Condition Evaluation Based on Data Compression'', Proceedings of the16th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2019). Leicester, UK, Aug 19-23, 2019.
Yuming Wang, Huiqiang Zhao, Lei Tu, Jingpei Dan, Ling Liu. ``A Relation Extraction Method based on Entity Type Embedding and Recurrent Piecewise Residual Networks'', Springer International Congress on Big Data, San Diego, June 25-June 30, 2019.
Myoungsoo Kim, Wonik Choi, Youngjun Jeon, Ling Liu. ``A Hybrid Neural Network Model for Power Demand Forecasting'', Special Issue Machine Learning and Optimization with Applications of Power System, Energies, Vol. 12, No, 931. DOI:10.3390, MDPI.
Xiu-quan Qiao, Pei Ren, Schahram Dustdar, Ling Liu, Huadong Ma, Jun-Liang Chen. ``Web AR: A Promising Future for Mobile Augmented Reality - State of the Art, Challenges, and Insights", Proceedings of IEEE, 2019. Vol. 107, No. 4, April, 2019. pp651-666. DOI: 10.1109/JPROC.2019.2895105. (https://ieeexplore.ieee.org/document/8643424).
Yunpeng Xiao, Li Zhang, Qian Li and Ling Liu. ``MM-SIS: Model for Multiple Information Spreading in Multiplex Network", Physica A, No. 513, pp135-146. Jan. 2019. (Elsevier)
Ming Xu and Ling Liu. ``Sender-Receiver Role-based Energy-Aware Scheduling for Internet of Underwater Things'', IEEE Transactions on Emerging Topics in Computing (TETC). (Volume 7, Issue 2, April-June 2019) pp324-336. DOI: 10.1109/TETC.2016.2632749
Sayan Goswami, Ayam Pokhrel, Kisung Lee, Ling Liu, Qi Zhang. GraphMap: scalable iterative graph processing using NoSQL, The Journal of Supercomputing.
Kisung Lee, Ling Liu, Raghu L. Ganti, Mudhakar Srivatsa, Qi Zhang, Yang Zhou, and Qingyang Wang. ``Lightwieight Indexing and Querying Services for Big Spatial Data'', IEEE Transactions on Services Computing (TSC). Vol. 12, No. 3, May-June 2019, pp343-355. DOI: 10.1109/TSC.2016.2637332.

2018

Emre Mehmet Gursoy, Ling Liu, Stacey Truex, Lei Yu, Wenqi Wei. ``Utility-aware synthesis of differentially private and attack-resilient location traces'', Proceedings of the 25th ACM Conference on Computer and Communications Security (CCS 2018), 15-19, October 2018, Toronto, Canada. (Open source code on github/git-disl for AdaTrace)
Mincheol Kim, Ling Liu and Wonik Choi. ``A GPU-aware Parallel Index for Processing High-dimensional Big Data". IEEE Transactions on Computers. Volume: 67, Issue: 10 , Oct. 1 2018. pp1388-1402. DOI: 10.1109/TC.2018.2823760.
You Sun, Rui Zhang, Xin Wang, Kaiqiang Cao and Ling Liu. ``A Decentralizing Attribute-Based Signature for Healthcare Blockchain", Proceedings of the IEEE 27th International Conference on Computer Communications and Networks (ICCCN 2018)
Zhiling Luo, Ling Liu, Jianwei Yin, Yin Li and Zhaohui Wu. ``Latent Ability Model: A Generative Probabilistic Learning Framework for Workforce Analytics", IEEE Transactions on Knowledge and Data Engineering. Vol 31, No. 5, 2018 June, pp923-937.
Wenqi Cao and Ling Liu. ``Dynamic and Transparent Memory Sharing for Accelerating Big Data Analytics Workloads in Virtualized Cloud'', Proceedings of IEEE 2018 International Conference on Big Data. Seattle, USA, Dec. 10-13, 2018. FastSwap code on Github/disl/git-disl.
Emre Yigitoglu, Mehmet Emre Gursoy, Ling Liu, Margaret Loper, Bhuvan Bamba, and Kisung Lee. ``PrivacyZone: A novel approach to protecting location privacy of mobile users'', Proceedings of IEEE 2018 International Conference on Big Data. Seattle, USA, Dec. 10-13, 2018.
Yanzhao Wu, Wenqi Cao, Semih Sahin, Ling Liu. ``Experimental Characterizations and Analysis of Deep Learning Frameworks'', Proceedings of IEEE 2018 International Conference on Big Data. Seattle, USA, Dec. 10-13, 2018. GTDLBench on Githib.com/git-disl.
Emre Gursoy, Ling Liu, Stacey Truex, Lei Yu. ``Differentially Private and Utility Preserving Publication of Trajectory Data'', IEEE Transactions on Mobile Computing. Vol. 17, No. xx, 2018. doi:10.1109/TMC.2018.2874008. (Open Source Download at github for DPStar)
Yanzhao Wu, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin, Wenqi Wei, Qi Zhang. ``A Comparative Measurement Study of Deep Learning As a Service Frameworks", Oct. 2018. ArXiv
Ling Liu and Margaret Loper. ``Trust as a Service: Building and Managing Trust in the Internet of Things", Proceedings of 2018 IEEE International Symposium on Technologies for Homeland Security (THS 2018), October 23 - 24, 2018 Woburn, MA USA.
Amit Warke, Mohamed Mohamed, Robert Engel, Heiko Ludwig, Wayne Sawdon, and Ling Liu. ``Storage Service Orchestration with Container Elasticity", IEEE 2018 International Conference on Collaboration and Internet Computing (CIC 2018). Oct 18 - 20, 2018. Philadelphia, Pennsylvania, USA.
Ling Liu, Yanzhao Wu, Wenqi Wei, Wenqi Cao, Semih Sahin, Qi Zhang. ``Benchmarking Deep Learning Frameworks: Design Considerations, Metrics and Beyond", Proceedings of IEEE Int. Conf. on Distributed Computing Systems (ICDCS 2018). July 2-5, 2018, Vienna, Austria.
Qi Zhang, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin. ``Efficient Shared Memory Orchestration Towards Demand Driven Memory Slicing", Proceedings of IEEE Int. Conf. on Distributed Computing Systems (ICDCS 2018). July 2-5, 2018, Vienna, Austria.
Stacey Truex, Ling Liu, Emre Gursoy, Lei Yu, Wenqi Wei. ''Towards Demystifying Membership Inference Attacks", May, 2018.
Wenqi Wei, Ling Liu, Margaret Loper, Stacey Truex, Lei Yu, Emre Gursoy, Yanzhao Wu. ``Adversarial Examples in Deep Learning: Characterization and Divergence", May, 2018.
Rui Zhang, Rui Xue, and Ling Liu. ``Searchable Encryption for Healthcare Clouds: A Survey", IEEE Transactions on Services Computing. Volume: 11 , Issue: 6 , Nov.-Dec. 1 2018. pp978 - 996. DOI: 10.1109/TSC.2017.2762296
Ming Xu and Ling Liu. ``SenseVault: A Three-tier Framework for Securing Mobile Underwater Sensor Networks", IEEE Transactions on Mobile Computing. Volume: 17 , Issue: 11 , Nov. 1 2018. pp2632 - 2645. DOI: 10.1109/TMC.2018.2812801.
Qi Zhang, Ling Liu, Qiwei Dou, Liren Wu, Wei Zhou. ``A Comparative Study of Containers and Virtual Machines in Big Data Environment", Proceedings of IEEE Int. Conf. on Cloud Computing (Cloud 2018), July 2 - 7, 2018, San Francisco, USA.
Ling Xu, Mo Zhou, Liu Ling, Bei Wang, Meng Yan, Mengning Yang. ``Misclassification Cost-Sensitive Software Defect Prediction", Proceedings of the IEEE 2018 International Conference on Information Reuse and Integration. Salt Lake City, Utah, USA, July 7 - 9, 2018 (Best Paper Runner Up)
Sung-Hyun Sim, Hyerim Bae, Yulim Choi, and Ling Liu. ``Statistical Verification of Process Model Conformance to Execution Log Considering Model Abstraction", International Journal of Cooperative Information Systems (IJCIS), Vol. 27, No. 2 (2018), DOI: 10.1142/S0218843018500028 (World Scientific).
Yuming Wang, Xiao Ou, Lai Tu and Ling Liu. ``Effective Facial Obstructions Removal with Enhanced Cycle-Consistent Generative Adversarial Networks ", Proceedings of AIMS Conference, 2018, Springer. (Best Paper Award)
Yuming Wang, Jun Huang, Yun Liu, Lai Tu and Ling Liu. ``Inter-Category Distribution Enhanced Feature Extraction for Efficient Text Classification", Proceedings of Big Data Congress, 2018, Springer.
Shuang Zhou, Pingpeng Yuan, Hai Jin, Ling Liu. ``MGTag: a Multi-Dimensional Graph Labeling Scheme for Fast Reachability Queries", Proceedings of IEEE International Conference on Data Engineering (ICDE 2018), Paris, France. April 2018.
ZhengTao Jiang, Ling Liu and LiaoJun Pang. ``Oblivious Keyword Search Protocols with CKA Security'', International Journal of Communication Systems, July 31, 2018, John Wiley & Sons.

2017

Binh Han, Ling Liu. ``A Systematic Approach to Clustering Whole Trajectories of Mobile Objects in Road Networks", IEEE Transactions on Knowledge and Data Engineering (TKDE), Volume: 29, Issue: 5, May 1 2017.
Zhiling Luo, Ling Liu, Jianwei Yin, Ying Li and Zhaohui Wu. ``Deep Learning of Graphs with Ngram Convolutional Neural Network", IEEE Transactions on Knowledge and Data Engineering, June 2017.
Balaji Palanisamy, Ling Liu, Qingyang Wang, Yang Zhou. ``Privacy-preserving Publishing of Multi-level Utility Controlled Graph Datasets", ACM Transactions on Internet Technology (TOIT). 2017.
Rui Zhang, Rui Xue, and Ling Liu. ``Searchable Encryption for Healthcare Clouds: A Survey'', IEEE Transactions on Services Computing. 2017..
Kisung Lee, Ling Liu, Raghu L. Ganti, Mudhakar Srivatsa, Qi Zhang, Yang Zhou, and Qingyang Wang. ``Lightwieight Indexing and Querying Services for Big Spatial Data", IEEE Transactions on Services Computing.
Ming Xu and Ling Liu. ``Sender-Receiver Role-based Energy-aware Scheduling for Internet of Underwater Things'', IEEE Transactions on Emerging Topics in Computing.
Yiming Zhang, Dongsheng Li, Chengfei Zhang, Jinyan Wang, Ling Liu.``GraphA: Efficient Partitioning and Storage for Distributed Graph Computation", IEEE Transactions on Services Computing (TSC), 2017.
Xinxin Fan, Ling Liu, Mingchu Li, Zhiyuan Su. ``GroupTrust: Dependable Trust Management", IEEE Transactions on Parallel and Distributed Systems (TPDS). Vol. 28, No. 4 (April, 2017).
Wenhua Xiao, Weidong Bao, Xiaomin Zhu, Ling Liu. ``Cost-Aware Big Data Processing across Geo-Distributed Datacenters". IEEE Transactions on Parallel and Distributed Systems (TPDS).
Huangke Chen, Xiaomin Zhu, Dishan Qiu, Ling Liu, Zhihui Du. ``Scheduling for Workflows wifth Security-Sensitive Intermediate Data by Selective Tasks Duplication in Clouds", IEEE Transactions on Parallel and Distributed Systems (TPDS). Volume: 28, Issue: 9, Sept. 1 2017. Page(s): 2674 - 2688.
Emre Yigitoglu, Ling Liu, Margaret Looper, Calton Pu. ``Distributed Orchestration in Large Scale IoT Systems", Proceedings of IEEE International Conference on Internet of Things (ICIOT 2017), June 27 - June 30, Honolulu, Hawaii, USA. Best Student Paper Award.
Emre Yigitoglu, Mohamed Mohamed, Ling Liu, Heiko Ludwig. ``Foggy: A Framework for Continuous Automated IoT Application Deployment in Fog Computing'', Proceedings of IEEE 2017 International Conference on Artificial Intelligence & Mobile Services (AIMS 2017), June 25 - June 30, 2017, Honolulu, Hawaii, USA.
Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu. ``Privacy Preserving Inductive Learning with Decision Trees", Proceedings of IEEE Internatinal Congress on Big Data, June 27-30, 2017, Honolulu, Hawaii, USA.
Rui Zhang, Rui Xue, Ling Liu. "Oblivious Multi-Keyword Search for Secure Cloud Storage Service", Proceedings of IEEE Internatinal Conference on Web Services (ICWS 2017), June 27-30, 2017.
Chungheon Yi, Wonik Choi, Ling Liu and Youngjun Jeon. ``Cloud-based Positioning Method with Visualized Signal Images", Proceedings of IEEE International Conference on Cloud Computing (Cloud 2017), June 27-30, 2017.
Arghya Kusum Das, Jaeki Hong, Sayan Goswami, Richard Platania, Kisung Lee, Wooseok Chang, Seung-Jong Park, Ling Liu. ``Augmenting Amdahl's Second Law: A Theoretical Model to Build Cost-Effective Balanced HPC Infrastructure for Data-Driven Science", Proceedings of IEEE International Conference on Cloud Computing (Cloud 2017), June 27-30, 2017.
Bin Yu, Yan Wang and Ling Liu. ``CrowdDefense: A Trust Vector-based Threat Defense Model in Crowdsourcing Environments", Proceedings of IEEE Internatinal Conference on Web Services (ICWS 2017), June 27-30, 2017.
Wei Zhou, Wenkun Xiang, Ling Liu, Calton Pu, Tao Zhu, Qingyang Wang. ``An Experimental Study of A Biosequence Big Data Analysis Service", Proceedings of IEEE Internatinal Conference on Web Services (ICWS 2017), June 27-30, 2017.
Imam Mustafa Kama, Hyerim Bae, and Ling Liu. ``Identifying Key Resources in a Social Network using f-PageRank", Proceedings of IEEE Internatinal Conference on Web Services (ICWS 2017), June 27-30, 2017.
Ying Wu, Rui Zhang, Rui Xue, Ling Liu. ``Multi-Client Verifiable Computation Service for Outsourced Data", Proceedings of IEEE Internatinal Conference on Web Services (ICWS 2017), June 27-30, 2017.
Guanlin Wu, Junjie Chen, Weidong Bao, Xiaomin Zhu, Wenhua Xiao, Ji Wang, Ling Liu. ``MECCAS: Collaborative Storage Algorithm Based on Alternating Direction Method", Proceedings of IEEE International Conference on Edge Computing (EDGE2017), June 27-30, 2017. Best Paper Award.
Qi Zhang, Ling Liu, Gong Su, and Arun Iyengar. ``MemFlex: A Shared Memory Swapper for High Performance VM Execution", IEEE Transactions on Computers (TC), Volume: 66, Issue: 9, Sept. 1 2017. Page(s): 1645 - 1652.
Lei Yu, Haiying Shen, Zhipeng Cai, Ling Liu and Calton Pu. ``Towards Bandwidth Guarantee for Virtual Clusters under Demand Uncertainty in Multitenant Clouds", IEEE Transactions on Parallel and Distributed Systems (TPDS), 2017.
Lei Yu, Ling Liu and Calton Pu. ``Dynamic Differential Location Privacy with Personalized Error Bounds'''', In Proceedings of the 2017 Network and Distributed System Security Symposium (NDSS 2017), San Diego, CA, February 2017. (acceptance rate: 16.1% = 68/423)

2016

Qi Zhang and Ling Liu. ``Workload Adaptive Shared Memory Management for High Performance Network I/O in Virtualized Cloud", IEEE Transactions on Computers (TC), Volume 65, Issue 11, Nov. 1 2016. pp3480-3494.
Rui Zhang, Rui Xue, Ting Yu, Ling Liu. ``Dynamic and Efficient Private Keyword Search over Inverted Index-Based Encrypted Data", ACM Transactions on Internet Technology.
Xiaomin Zhu, Huangke Chen, Guipeng Liu, Ling Liu. ``STARS: Startup-Time-Aware Resource Provisioning and Real-Time Task Scheduling in Clouds", The 18th IEEE International Conference on High Performance Computing and Communications (HPCC 2016), Dec. 12-14, 2016, Sydney, Australia.
Hyerim Bae, Sung-hyun Sim, Yulim Choi, and Ling Liu. ``Statistical verification of process conformance based on log equality test", IEEE 2016 International Conference on Collaboration and Internet Computing (CIC). Nov. 1-3, Pittsburg, USA.
Jiangchun Ren, Ling Liu, Da Zhang, Qi Zhang and Haihe Ba.``Tenants-Attested Trusted Cloud Service", Proceedings of the IEEE International Conference on Services Computing (IEEE SCC 2016), June 17-July 2, 2016, San Francisco, USA.
Jiangchun Ren, Ling Liu, Da Zhang, Huazhe Zhou and Qi Zhang.``ESI-Cloud: Extending Virtual Machine Introspection for Integrating Multiple Security Services", Proceedings of the IEEE International Conference on Cloud Computing (IEEE Cloud 2016).
Ji Wang, Xiaomin Zhu, Weidong Bao and Ling Liu.``A Utility-Aware Approach to Redundant Data Upload in Cooperative Mobile Cloud", Proceedings of the IEEE International Conference on Cloud Computing (IEEE Cloud 2016), June 17-July 2, 2016, San Francisco, USA.
Huangke Chen, Xiaomin Zhu, Dishan Qiu and Ling Liu.``Uncertainty-Aware Real-Time Workflow Scheduling in the Cloud", Proceedings of the IEEE International Conference on Cloud Computing (IEEE Cloud 2016).
Xiaomin Zhu, Yabing Zha, Ling Liu and Peng Jiao. ``General Framework for Task Scheduling and Resource Provisioning in Cloud Computing Systems", Proceedings of IEEE 40th Annual Computer Software and Application Conference (Compsac 2016), Atlanta, GA, June 11-14, 2016.
Rui Zhang, Rui Xue, Ting Yu and Ling Liu.``PVSAE: A Public Verifiable Searchable Encryption Service Framework for Outsourced Encrypted Data", Proceedings of the IEEE International Conference on Web Services (IEEE ICWS 2016), June 17-July 2, 2016, San Francisco, USA.
Xianqiang Bao, Ling Liu, Nong Xiao, Yutong Lu, Wenqi Cao. ``Persistence and Recovery for In-Memory NoSQL services: A Measurement Study", Proceedings of the IEEE International Conference on Web Services (IEEE ICWS 2016).
Qi Zhang, Ling Liu, Jiangchun Ren, Gong Su and Arun Iyengar. ``iBalloon: Efficient VM Memory Balancing as a Service", Proceedings of the IEEE International Conference on Web Services (IEEE ICWS 2016). Acceptance Rate: 13%.
Wenqi Cao, Semih Sahin, Ling Liu, Xianqiang Bao. ``Evaluation and Analysis of In-Memory Key-Value Systems", Proceedings of the 2016 IEEE Big Data Congress (BigData 2016).
Semih Sahin, Wenqi Cao, Qi Zhang and Ling Liu. ``JVM Configuration Management and Its Performance Impact for Big Data Applications", Proceedings of IEEE 2016 Big Data Congress (BigData 2016).
Yiming Zhang and Ling Liu. ``On the Expandability and Fidelity of Distributed Line Graphs", Proceedings of IEEE ICWS 2016. (Short Paper) June 27-July 2, 2016, SFO, USA.
Qi Zhang and Ling Liu. ``Workload Adaptive Shared Memory Management for High Performance Network I/O in Virtualized Cloud", To Appear in IEEE Transactions on Computers (TC).
Ningnan Zhou, Xuan Zhou, Xiao Zhang, Shan Wang, Ling Liu. "An I/O-Efficient Buffer Batch Replacement Pocily for Update-Intensive Graph Databases". DASFAA 2016
Xaomin Zhu, Ji Wang, Hui Gao, Dakai Zhu, Laurence Yang, Ling Liu. ``Fault-Tolerant Scheduling for Real-Time Scientific Workflows with Elastic Resource Provisioning in Virtualized Clouds", To appear in IEEE Transactions on Parallel and Distributed Systems (TPDS).
Ling Liu, Margaret Loper, Yusuf Ozkaya, Abdurrahman Yasar, Emre Yigito glu. ``Machine to Machine Trust in the IoT Era", The 18th International workshop on Trust in Agent Societies (TRUST 2016), co-located with the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), Singapore, May 9-13, 2016.
Yusuf Ozkaya, Ling Liu, Margaret Loper, Brian Swenson. ``M2M Trust", Oct. 2015, IISP, Georgia Tech.
Yang Zhou, Ling Liu, Sangeetha Seshadri and Lawrence Chiu. ``Analyzing Enterprise Storage Workloads with Graph Modeling and Clustering", IEEE Journal on Selected Areas in Communications - 2016 Special Issue on Emerging Technologies in Communications.
Pingpeng Yuan, Changfeng Xie, Ling Liu, and Hai Jin. ``PathGraph: A Path Centric Graph Processing System", To appear in IEEE Transactions on Parallel and Distributed Systems (TPDS).
Yi Ren, Ling Liu, Qi Zhang, Qingbo Wu, Jianbo Guan, Jinzhu Kong, Huadong Dai and Lisong Shao. ``Shared-Memory Optimizations for Inter Virtual Machine Communication", To appear in ACM Computing Surveys.

2015

Kisung Lee, Ling Liu, Karsten Schwan, Calton Pu, Qi Zhang, Yang Zhou, Emre Yigitoglu, Pingpeng Yuan. ``Scaling Iterative Graph Computations with GraphMap''. Proceedings of the IEEE International Conference for High Performance Computing Networking, Storage, and Analysis (IEEE SC 2015). Austin, TX, USA. Nov. 15-20, 2015
Mingdong Zhu, Derong Shen, Ling Liu, and Ge Yu. ``Hybrid-LSH for Spatio-Textual Similarity Queries", Proceedings of APWeb 2015. Best Paper Award.
Hui Li, Ling Liu, Xiao Zhang and Shan Wang. ``Hike: A High Performance kNN Query Processing System for Multimedia Data", Proceedings of IEEE Int. Conference on Collaboration and Internet Computing (IEEE CIC 2015), October 27 - October 30, 2015, Hangzhou, China
Bhuvan Bamab, Ling Liu and Emre Yigitoglu. ``Road Network-aware Anonymization in Mobile Systems with Reciprocity Support'', IEEE International Conference on Computer Communications and Networks (ICCCN 2015), Aug 3 - 6, 2015, Las Vegas, Nevada, USA.
Yang Zhou, Ling Liu and David Buttler. ``Integrating Vertex-centric Clustering with Edge-centric Clustering for Meta Path Graph Analysis", Proceedings of ACM SIGKDD 2015. Aug. 10-13, Sydney, Australia. Acceptance Ratio: 159 out of 819 (19%).
Yang Zhou, Ling Liu, Kisung Lee and Qi Zhang. ``GraphTwist: Fast Iterative Graph Computation with Two-tier Optimizations", Proceedings of the 41st International Conference on Very Large Databases (VLDB 2015), Lohala Coast, Hawaii, Aug. 31 - Sept 4, 2015. Acceptance Rate:
Qi Zhang and Ling Liu. ``Shared Memory Optimization in Virtualized Clouds", IEEE 2015 International Conference on Cloud Computing. New York, June 27-July 1, 2015. Acceptance Rate: 17%
Balaji Palanisamy and Ling Liu. ``Privacy-preserving Data Publishing in the Cloud: A Multi-level Utility Controlled Approach", IEEE 2015 International Conference on Cloud Computing. New York, June 27-July 1, 2015. - Acceptance Rate: 17%
Xianqiang Bao, Ling Liu, Nong Xiao, Yang Zhou, Qi Zhang. ``Policy-driven Autonomic Configuration Management for NoSQL". IEEE 2015 International Conference on Cloud Computing. New York, June 27-July 1, 2015. Acceptance Rate: 17%
Yang Zhou, Ling Liu, Xianqiang Bao, Kisung Lee, Calton Pu, Balaji Palanisamy, Emre Yigitoglu, Qi Zhang. ``Clustering Service Networks with Entity, Attribute and Link Heterogeneity", IEEE 2015 International Conference on Web Services (ICWS 2015), New York, June 27-July 2, 2015. Acceptance Rate: 20%.
Bin Ye, Yang Wang and Ling Liu. ``CrowdTrust: A Context-Aware Trust Model for Workers Selection in Crowdsourcing Environments", IEEE 2015 International Conference on Web Services (ICWS 2015), New York, June 27-July 2, 2015. Acceptance Rate: 20%.
Mingdong Zhu, Derong Shen, Ling Liu and Ge Yu. ``Hybrid-LSH for Spatio-Textual Similarity Queries''. Proceedings of the 17th Asia-Pacific Web Conference, Guangzhou, China, Sept 18-20, 2015.
Yuzhe Tang and Ling Liu. ``Searching HIE with Differentiated Privacy Preservation", Proceeding of IEEE Symposium of Security and Privacy, Poster. 2015.
Yuzhe Tang, Ling Liu, Junichi Tatemura and Hakan Hacigumus. "KTV-TREE: Interactive Top-K Aggregation on Dynamic Large Dataset in the Cloud", International Workshop on High-Performance Big Data Computing, In conjunction with International Conference on Distributed Computing Systems (ICDCS 2015)
Yang Zhou, Ling Liu, Kisung Lee, Calton Pu and Qi Zhang. ``Fast Iterative Graph Computation with Resource Aware Graph Parallel Abstractions", Proceedings of ACM Symposium on High-Performance Parallel and Distributed Computing (ACM HPDC 2015), Portland, Oregon, June 15-19, 2015.
Zhiyuan Su, Ling Liu, Mingchu Li, Xinxin Fan and Yang Zhou. ``Reliable and Resilient Trust Management in Distributed Service Provision Networks". ACM Transactions on the Web.
Kisung Lee, Ling Liu, Balaji Palanisamy and Emre Yigitoglu. ``Road Network Aware Spatial Alarms", to appear in IEEE Transactions on Mobile Computing (TMC).
Yuzhe Tang and Ling Liu. ``Privacy-Preserving Multi-Keywords Search in Information Networks", To appear in IEEE Transactions on Knowledge and Data Engineering (TKDE).
Yang Zhou and Ling Liu. ``Social Influence Based Clustering and Optimization over Heterogeneous Information Networks", to appear in ACM Transactions on KnowledgeDiscovery from Data (TKDD).
Yuzhe Tang, Arun Iyengar, Wei Tan, Liana Fong, Balaji Palanisamy, Ling Liu. ``Lightweight Indexing for Log-Structured Key-Value Stores", Proceedings of the 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2015) conference. May 4-7, 2015, Shenzhen, Guangdong, China. Acceptance Rate: 69 out of 268 (25.7%), Best Paper Award
Buwen Wu, Yongluan Zhou, Pingpeng Yuan, Ling Liu and Hai Jin. ``Scalable SPARQL Querying using Path Partitioning", Proceedings of the 31st IEEE International Conference on Data Engineering (ICDE2015), April 13-16 2015, Seoul, Korea.

2014

Yuzhe Tang, Ting Wang, Ling Liu, Xin Hu, Jiyong Jang. ``Lightweight Authentication of Freshness in Outsourced Key-Value Stores", Proceedings of the 2014 Annual Computer Security Applications Conference (ACSAC). December 8-12, 2014, Hyatt French Quarter, New Orleans, Louisiana, USA. Acceptance rate: 19.9% (AR<19.9%)
Buwen Wu, Yongluan Zhou, Pingpeng Yuan, Hai Jin and Ling Liu. ``SemStore: A Semantic-Preserving Distributed RDF Triple Store", Proceedings of ACM International Conference on Information and Knowledge Management (CIKM), Nov. 3-7, 2014, Shanghai, China.
Yang Zhou and Ling Liu. ``Activity-edge Centric Multi-label Classification for Mining Heterogeneous Information Networks", Proceedings of the 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (ACM KDD'14), New York, August 24-27, 2014.
Kisung Lee, Raghu Ganti, Mudhakar Srivatsa and Ling Liu. ``Efficient Spatial Query Processing for Big Data", Proceedings of ACM SIGSPATIAL 2014.
Kisung Lee, Raghu Ganti, Mudhakar Srivatsa and Ling Liu. ``When Twitter meets Foursquare: Tweet Location Prediction using Foursquare", Proceedings of Mobiquitous 2014 conference. (19.3% Acceptance Rate: 31 out of 160). Best paper award
Xianqiang Bao, Ling Liu, Nong Xiao, Fang Liu, Qi Zhang, Tao Zhu. ``HConfig: Resource Adaptive Fast Bulk Loading in HBase", Proceedings of 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2014), October 22-25, 2014 Miami, Florida, United States
Tao Li, Ling Liu, Xiaolong Zhang, Kai Xu and Chao Yang. ``ProvenanceLens: Service Provenance Management in the Cloud, Proceedings of 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2014), October 22-25, 2014 Miami, Florida, United States
Myungcheol Doo and Ling Liu. ``Extracting Top-k Most Influential Nodes by Activity Analysis", Proceedings of IEEE 2014 Int. Conference on Information Reuse and Integration (IRI), San Francisco, California, USA, Aug 2014.
Yuzhe Tang and Ling Liu. ``Searching HIE with Differentiated Privacy Preservation", in HealthTech'14 (colocated with Usenix Security'14).
Balaji Palanisamy and Ling Liu, ``Attack-resilient Mix-zones over Road Networks: Architecture and Algorithms", IEEE Transactions on Mobile Computing.
Buwen Wu, Pingpeng, Hai Jin and Ling Liu. ``SemStore: A Semantic-Preserving Distributed RDF Triple Store", Proceedings of ACM 2014 International Conference on Information and Knowledgement Management (CIKM). Nov. 3-7, 2014
Pingpeng Yuan, Wenya Zhang, Changfeng Xie, Hai Jin, Ling Liu nd Kisung Lee. ``Fast Iterative Graph Computation: A Path Centric Approach'', Proceedings of IEEE international conference for High Performance Computing, Networking, Storage and Analysis (SC2014), November 16-21, 2014 New Orleans, LA.
Yuzhe Tang, Ling Liu, Arun Iyengar, Kisung Lee and Qi Zhang. "e-PPI: Searching Information Networks with Quantitative Privacy Guarantees", Proceedings of IEEE ICDCS 2014 (Acceptance ratio: ~13%), Tech report: GIT-CERCS-14-02 [pdf].
Yang Zhou, Sangeetha Seshadri, Larry Chiu and Ling Liu. ``GraphLens: Mining Enterprise Storage Workloads Using Graph Analytics", Proceedings of IEEE Big Data 2014.
Qi Zhang, Ling Liu, Aameek Singh, Nagapramod Mandagere, Sandeep Gopisetty, Gabriel Alatorre, Kisung Lee and Yang Zhou. "Improving Hadoop Service Provisioning in A Geographically Distributed Cloud", Proceedings of IEEE 7th Int. Conf. on Cloud Computing (Cloud 2014), June 27 - July 2, 2014, Alaska, USA.
Xu Zhao, Ling Liu, Qi Zhang, Xiaoshe Dong. ``Improving MapReduce Performance in a Heterogeneous Cloud: A Measurement Study", Proceedings of IEEE 2014 Int. Conf. on Cloud Computing. June 27 - July 2, 2014, Alaska, USA.
Lie Qu, Yan Wang, Mehmet A. Orgun, Ling Liu, and Athman Bouguettaya. "Context-aware Cloud Service Selection based on Comparison and Aggregation of User Subjective Assessment and Objective Performance Assessment", Proceedings of IEEE Int. Conf. Web Services. June 27 - July 2, 2014, Alaska, USA.
Yuzhe Tang, Ting Wang, Xin Hu, Reiner Sailer, Peter Pietzuch, Ling Liu. "Outsourcing Key-Value Stores with Verifiable Data Freshness", IEEE ICDE 2014 [TechReport].
Balaji Palanisamy, Aameek Singh, Ling Liu. ``Cost-effective Resource Provisioning for MapReduce in a Cloud", IEEE Transactions on Parallel and Distributed Systems (TPDS)
Balaji Palanisamy, Aameek Singh, Nagapramod Mandagere, Gabriel Alatorre and Ling Liu. ``MapReduce Analysis for Cloud-archived Data", Proceedings of the 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing. Acceptance rate: 19% (54 out of 283).
Myungcheol Doo and Ling Liu. ``Probabilistic Diffusion of Social Influence with Incentives", Special Issue on Clouds for Social Computing, IEEE Transactions on Service Computing.
Pingpeng Yuan, Changfeng Xie, Hai Jin, Ling Liu, Guang Yang, Xuanhua Shi. ''Dynamic and Fast Processing of Queries on Large Scale RDF Data", Int. Journal of Knowledge and Information Systems (KAIS), 2014 (Springer).
Balaji Palanisamy and Ling Liu, ``Effective Mix-zone Anonymization for Mobile Travelers", Geoinformatica 2014.
Binh Han and Ling Liu. ``Road-Network Aware Trajectory Clustering: Integrating Locality, Flow and Density", IEEE Transactions on Mobile Computing. 2014.
Kisung Lee and Ling Liu. ``Scaling Queries over Big RDF Graphs with Semantic Hash Partitioning", Proceedings of the Very Large Database Endowment, Volume 7. Hangzhou, China. To be presented at the 40th International Conference on Very Large Databases, China, Sept. 1-5, 2014.

2013

Yang Zhou and Ling Liu. ``Social Influence Based Clustering of Heterogeneous Information Networks''. Proceedings of the 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'13), Chicago, IL, August 11-14, 2013.
Kisung Lee and Ling Liu. ``Efficient Data Partitioning Model for Heterogeneous Graphs in the Cloud'', Proceedings of IEEE international conference for High Performance Computing, Networking, Storage and Analysis (SC2013), Denver, Co. Nov. 17-22, 2013 This paper is selected by HPCWire as an featured article from the SC 2013 proceedings for an invited overview of our work.
Shicong Meng, Arun K. Iyengar, Ling Liu, Ting Wang, Jian Tan, Ignacio Silva-Lepe, Isabelle M. Rouvellou. ``CloudLEGO: Scalable Cross-VM-Type Application Performance Prediction", Proceedings of the fourth ACM Symposium on Cloud Computing (SOCC'13), October 1-3, 2013 - Santa Clara, CA.
De Wang, Sham Navathe, Ling Liu, Danesh Irani, Acar Tamersoy, Calton Pu. ''Click Traffic Analysis of Short URL Spam on Twitter", Proceedings of Int. Conf. on Collaborative Computing (IEEE Press). Texas, USA, Oct. 2013.
Pingpeng Yuan, Pu Liu, Buwen Wu, Hai Jin, Wenya Zhang, Ling Liu. ``TripleBit: a Fast and Compact System for Large Scale RDF Data'', Proceedings of the 39th International Conference on Very Large Databases, Riva del Garda, Trento, Aug 26-30, 2013.
Shicong Meng, Arun Iyengar, Isabelle Rouvellou and Ling Liu. ''Volley: Violation Likelihood Based State Monitoring for Dataceners'', Proceedings of 2013 IEEE Int. Conf. on Distributed Computing Systems (ICDCS 2013), Philadelphia, June 2013. Acceptance Rate: 61 out of 464.
Balaji Palanisamy, Ling Liu, Kisung Lee, Shicong Meng, Yuzhe Tang. ``Delay-tolerant Mix-zones on Road Networks", Distributed and Parallel Databases (DAPD 2013).
Balaji Palanisamy, Aameek Singh, Ling Liu and Bryan Langston, ``Cura: A Cost-Optimized Model for MapReduce in a Cloud'', Proc. of 27th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2013)
Yinglong Ma, Ling Liu, Ke Lu, Beihong Jin, and Xiangjie Liu. ``A Graph Derivation Based Approach for Measuring and Comparing Structural Semantics of Ontologies", IEEE TKDE.
Yonghun Park, Ling Liu, Jaesoo Yoo. ``A Fast and Compact Indexing Technique for Moving Objects'', Proceedings of the 14th IEEE International Conference on Information Reuse and Integration (IRI), San Francisco, USA, Aug 14-16, 2013.
Bhuvan Bamba, Kun-Lung Wu, Bugra Gedik, Ling Liu. ``SLIM: A Scalable Location-Sensitive Information Monitoring Service'', Proceedings of the 20th IEEE International Conference on Web Services (ICWS'13), June 27-July 2, 2013, Santa Clara Marriott, CA, USA, Best Paper Award
Yang Zhou, Ling Liu, Chang-Shing Perng, Anca Sailer, Ignacio Silva-Lepe and Zhiyuan Su. ``Ranking Services by Service Network Structure and Service Attributes". Proceedings of the 20th IEEE International Conference on Web Services (ICWS'13), Santa Clara, CA, June 27-July 2, 2013. Acceptance rate: 19%.
Qi Zhang, Ling Liu, Yi Ren, Kisung Lee, Yuzhe Tang, Xu Zhao, Yang Zhou. ''Residency Aware Inter-VM Communication in Virtualized Cloud: Performance Measurement and Analysis'', IEEE 6th International Conference on Cloud Computing, June 27-July 2, 2013, Santa Clara Marriott, CA, USA. Acceptance rate: 19%.
Kisung Lee, Ling Liu, Yuzhe Tang, Qi Zhang, Yang Zhou ''Efficient and Customizable Data Partitioning Framework for Distributed Big RDF Data Processing in the Cloud'', IEEE 6th International Conference on Cloud Computing (Cloud 2013), June 27-July 2, 2013, Santa Clara Marriott, CA, USA. Acceptance rate: 19%.
Yi Ren, Ling Liu, Qi Zhang, Qingbo Wu, Jie Yu, Jinzhu Kong, Jianbo Guan, Huadong Dai ``Residency-Aware Virtual Machine Communication Optimization: Design Choices and Techniques'', IEEE 6th International Conference on Cloud Computing (Cloud 2013), June 27-July 2, 2013, Santa Clara Marriott, CA, USA
Zhiyuan Su, Ling Liu, Mingchu Li, Xinxin Fan, Yang Zhou ``ServiceTrust: Trust Management in Service Provision Networks'', Proceedings of the IEEE 10th International Conference on Services Computing (SCC 2013), June 27-July 2, 2013, Santa Clara Marriott, CA, USA
ZhengTao Jiang and Ling Liu ``Secure Cloud Storage Service with An Efficient DOKS Protocol'', Proceedings of the IEEE 10th International Conference on Services Computing (SCC), June 27-July 2, 2013, Santa Clara Marriott, CA, USA
Vikram Goyal, Ankita Likhyani, Neha Bansal and Ling Liu. ``Efficient Trajectory Cover Search for Moving Object Trajectories'', Proceedings of the IEEE 2nd International Conference on Mobile Services (MS 2013), June 27-July 2, 2013, Santa Clara Marriott, CA, USA.
Shicong Meng and Ling Liu. ``Enhanced Monitoring as a Service for Effective Cloud Management". IEEE Transactions on Computers. 2013.
Yiduo Mei, Ling Liu, Xing Pu, Sankaran Sivathanu, and Xiaoshe Dong. ''Performance Analysis of Network I/O Workloads in Virtualized Data Centers", IEEE Transactions on Service Computing, 2013, Vol 6, No. 1. pp1-16.
Xing Pu, Ling Liu, Yiduo Mei, Sankaran Sivathanu, Younggyun Koh, Calton Pu and Yuanda Cao. ``Who Is Your Neighbor: Net I/O Performance Interference in Virtualized Clouds'', IEEE TRANSACTIONS ON SERVICES COMPUTING, VOL. 6, NO. 2013
Myungcheol Doo and Ling Liu. ``Mondrian Tree: A Fast Index for Spatial Alarm Processing", ACM Transactions on Intelligent Systems and Technology. Special Issue on Social Web Mining.
Kisung Lee, Emre Yigitoglu, Ling Liu, Binh Han, Balaji Palanisamy, Calton Pu. ``RoadAlarm: A Spatial Alarm System on Road Networks", In Proceedings of IEEE Int. Conf. on Data Engineering, April 2013. Australia.
Balaji Palanisamy, Sindhuja Ravichandran, Ling Liu, Binh Han, Kisung Lee, Calton Pu. ``Road Network Mix-zones for Anonymous Location based Services", In Proceedings of IEEE Int. Conf. on Data Engineering. April, 2013, Australia.
Yiming Zhang and Ling Liu. "Distance-aware bloom filters: Enabling collaborative search for efficient resource discovery", Future Generation Computer Systems. 29 (2013) 1621-1630

2012

Balaji Palanisamy, Ling Liu, Kisung Lee, Aameek Singh and Yuzhe Tang.``Location Privacy with Road network Mix-zones". Proceedings of 8th International Conference on Mobile Ad-hoc and Sensor Networks (MSN'12). Dec. 14-16, 2012.
Shicong Meng, Srinivas Raghav Kashyap, Chitra Venkatramani, and Ling Liu. ``Resource-Aware Application State Monitoring", In: IEEE Transactions on Parallel and Distributed Computing, Vol. 23, 2012.
Yiming Zhang and Ling Liu. "Distance-aware bloom filters: Enabling collaborative search for efficient resource discovery", Future Generation Computer Systems.
Rui Zhang, Ling Liu, and Xue Rui. "Role-Based and Time-Bound Access and Management of EHR Data". International Journal of Security and Communication Networks, 2012 Wiley.
Yi Ren, Ling Liu, Xiaojian Liu, Jinzhu Kong, Huadong Dai, Qingbo Wu, Yuan Li. ``A Fast and Transparent Communication Protocol for Co-Resident Virtual Machines", In: Proceedings of 8th IEEE International Conference on Collaborative Computing (CollaborateCom2012), October 14 - 17, 2012 Pittsburgh, Pennsylvania, United States.
Xinxin Fan, Ling Liu, Mingchu Li and Zhiyuan Su. ``EigenTrust++: Attack Resilent Trust Management". Proceedings of 8th IEEE International Conference on Collaborative Computing (CollaborateCom2012), October 14 - 17, 2012 Pittsburgh, Pennsylvania, United States.
Yuehua Wang, Zhong Zhou, Ling Li, Wei Wu. "Replica-aided Load Balancing in Overlay Networks", Journal of Network and Computer Applications (JNCA), 2012.
Shicong Meng, Arun Iyengar, Isabelle Rouvellou, Ling Liu, Kisung Lee, Balaji Palanisamy. ``Reliable State Monitoring in Cloud Datacenters", Proceesings of IEEE Int. Conf. on Cloud Computing (IEEE Cloud 2012), Honolulu, Hawaii, USA on 6/24-6/29, 2012. Acceptance Rate: 48 out of 282 (17%), Best Paper Award.
Shicong Meng and Ling Liu. ``Enhanced Monitoring as a Service for Effective Cloud Management". IEEE Transactions on Computers. 2012.
Kisung Lee, Ling Liu, Shicong Meng, Balaji Palanisamy. ``Scaling Spatial Alarm Services on Road Networks", Proceedings of IEEE Int. Conf. on Web Services (ICWS 2012), Honolulu, Hawaii, USA on 6/24-6/29, 2012.
Feng Wang, Ling Liu and Chenxiao Dou. ``StockMarket Volatility Prediction: A Service-OrientedMulti-Kernel Learning Approach", Proceedings of IEEE Int. Conf on Service Computing (SCC 2012), Honolulu, Hawaii, USA on 6/24-6/29, 2012. Acceptance Rate: 18%.
Ting Wang, Mudhakar Srivatsa and Ling Liu. `` Fine-Grained Access Control of Personal Data", Proceedings of the 2012 ACM Symposium on Access Control Models and Technologies (SACMAT), Newark, USA,June 20-22, 2012
Yuehua Wang, Zhong Zhou, Ling Liu, Liang Cheng, Wei Wu. ``Topological Similarity-based Scheme for Large-scale Group Communication Services", Proceedings of IEEE 21st Int. Conf on Computer Communication Networks (ICCCN2012), Munich, Germany, July 30 - Aug. 02, 2012.
Shicong Meng, Srinivas R. Kashyap, Chitra Venkatramani and Ling Liu. ''Resource-Aware Application State Monitoring", IEEE Transactions on Paralle and Distributed Systems (TPDS). Vol 23, No., 2012.
Binh Han, Ling Liu and Edward Omiecinski. ``NEAT: Road Network Aware Trajectory Clustering", Proceedings of IEEE Int. Conf on Distributed Computing, 2012.
(13%)
Bernardo N. Yahya, Hyerim Bae, Joonsoo Bae and Ling Liu. ``Tool Support for Process Modeling Using Proximity Score Measurement'', International Journal of Innovative Computing, Information and Control. Vol. 8, No. 7 (B), July 2012. ICIC International 2012 ISSN 1349-4198, pp5381-5399.
Xiaofeng Wang, Ling Liu and Jinshu Su. ``RLM: A General Model for Trust Representation and Aggregation", IEEE Transactions on Service Computing. Vol. 5, No. 1, 2012. pp131-143.
Yuehua Wang, Ling Liu and Calton Pu. ``Scaling Group Communication Services with Self-adaptive and Utility-driven Message Routing", ACM Springer Mobile Networks and Applications (MONET) Journal, Jan 07, 2012.
Yuehua Wang, Zhong Zhou, Lina Liu, Wei Wu. ``Fault Tolerance and Recovery for Group Communication Services in Distributed Networks", JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY. 27(2): 298-312 Mar. 2012.
Hyerim Bae, Dongsoo Kim, Ling Liu and Hajo A. Reijers. ``Special Issue on Intelligent and Innovative Computing in Business Process Management", International Journal of Innovative Computing, Information and Control. Vol. 8, No. 7 (B), July 2012. ICIC International 2012 ISSN 1349-4198, pp5211-5215.
Ting Wang, Mudhakar Srivatsa, Dakshi Agrawal and Ling Liu. ``Microscopic Social Influence", Proceedings of 2012 SIAM International Conference on Data Mining. April 26-28, 2012. Anaheim, California, USA.
53 out of 363 (14.6%)
Qinyuan Feng, Ling Liu and Yafei Dai. ``Vulnerabilities and Countermeasures in Context-Aware Social Rating Services", Special Issue on Context-Aware Web Services for the Future Internet, ACM Transactions on Internet Technology (TOIT). Vol. 11, No. 3, 2012.
Xing Pu, Ling Liu, Yduo Mei, Sankaran Sivathanu, Younggyun Koh, Calton Pu, Yuanda Cao. ``Who is Your Neighbor: Net I/O Performance Interference in Virtualized Cloud'', IEEE Transactions on Service Computing.
Bernardo Nugroho Yahya, Hyerim Bae, Joonsoo Bae and Ling Liu. ``Tool Support for Process Modeling Using Proximity Score Measurement", International Journal of Innovative Computing, Information and Control (ICIC International) ISSN 1349-4198, Volume 8, Number 7, July 2012. pp1-19.
Hyerim Bae, Dongsoo Kim, Ling Liu and Hajo A. Reijers. ``Intelligent and Innovative Computing in Business Process Management", Guest edtors introduction. International Journal of Innovative Computing, Information and Control, Volume x, Number x, January 2012. ICIC International 2012 ISSN 1349-4198.
HaRim Jung, Yon Dohn Chung, and Ling Liu. ``Processing Generalized k-Nearest Neighbor Queries on a Wireless Broadcast Stream", Information Sciences (188), pp. 64-79, April 2012
Yang Zhou and Ling Liu. ``Clustering Analysis in Large Graphs with Rich Attributes'', Chapter in DATA MINING: Foundations and Intelligent Paradigms. Eds. Dwan E. Holmes, Springer, 2011.

2011

Mudhakar Srivatsa, Ling Liu, Arun Iyengar. "EventGuard: A System Architecture for Securing Publish-Subscribe Networks". ACM Trans. Comput. Syst. 29(4): 10 (2011)
Mudhakar Srivatsa, Arun Iyengar, Ling Liu, Hongbo Jiang. "Privacy in VoIP Networks: Flow Analysis Attacks and Defense". IEEE Trans. Parallel Distrib. Syst. 22(4): 621-633 (2011)
Gong Zhang and Ling Liu. ``Why Do Migrations Fail and What Can We Do about It?", Proceedings of Usenix 25th Large Installation System Administration Conference (LISA '11), December 4 ~ 9, 2011, Boston, MA.
Sankaran Sivathanu, Jinpyo Kim, Devaki Kulkarni, and Ling Liu. ``Load-Aware Replay of I/O Traces", WIP in the 9th USENIX Connference on File and Storage Technologies. Feb 15-17, 2011, San Jose, California, USA.
Yuzhe Tang, Ting Wang, Ling Liu, Shicong Meng, Balaji Palanisamy. ``Privacy-Preerving Indexing for eHealth Information Network", Proceedings of the 20th ACM Conference on Information and Knowledge Management, 24-28 October 2011, Glasgow, Scotland.
Chiemi Watanabe, Toshiyuki Amagasa and Ling Liu. ``Privacy Risks and Countermeasures in Publishing and Mining Social Network Data", Proceedings of International Conference on Collaborative Computing (CollaborateCom 2011), Oct. 2011, Orlando, FL. USA. (Invited)
Binh Han, Edward Omiecinski, Leo Mark, Ling Liu, ``OTPM: Failure Handling in Data-intensive Analytical Processing", Proceedings of the 7th International Conference on Collaborative Computing (CollaborateCom 2011), Orlando, Florida, USA, Oct 15-18, 2011.
Yiming Zhang, Ling Liu. ``Distributed Line Graphs: A Universal Technique for Designing DHTs Based on Arbitrary Regular Graphs", Accepted in IEEE Transactions on Knowledge and Data Engineering.
Balaji Palanisamy, Aameek Singh, Ling Liu, Bhushan Jain. ``Purlieus: Locality-aware Resource Allocation for MapReduce in a Cloud", ACM/IEEE International Conference on SuperComputing (SC2011), Seattle WA, Nov. 12-18, 2011. Acceptance Rate: 74 out of 352 (21%)
Yiduo Mei, Ling Liu, Xing Pu, Sankaran Sivathanu, and Xiaoshe Dong. ``Performance Analysis of Network I/O Workloads in Virtualized Data Centers'', IEEE Transactions on Service Computing, 2011.
Ting Wang, Mudhakar Srivatsa, Dakshi Agrawal and Ling Liu. ``Modeling Data Flow in Socio-Information Networks: A Risk Estimation Approach", Proceedings of the proceedings of The ACM Symposium on Access Control Models and Technologies (SACMAT), Innsbruck, Austria, June 15-17, 2011.
Shicong Meng, Ling Liu, and Ting Wang. ``State Monitoring in Cloud Datacenters", IEEE Transactions on Knowledge and Data Engineering, Special Issue on Cloud Data Management. VOL. 23, NO. 9, SEPTEMBER 2011.
Balaji Palanisamy and Ling Liu. ``MobiMix: Protecting Location Privacy with Mix Zones over Road Networks", Proceedings of IEEE International Conference on Data Engineering (ICDE). Hannover, Germany, April 11-16, 2011.
Keke Chen and Ling Liu. ``Geometric Data Perturbation for Privacy Preserving Outsourced Data Mining", Knowledge and Information Systems: An International Journal (KAIS), Springer.
Rui Zhang, Ling Liu, Jiqiang Li and Zhen Han. ``RBTBAC: Secure Access and Management of EHR Data", Proceedings of the Third International Workshop on e-Healthcare Information Security (e-HISec 2011), June 27-29, 2011, London, UK.
Yuehua Wang, Zhong Zhou, Ling Liu, `Qingsong Cuix, Wei Wu. "Efficient Location-Aware Replication Scheme for Reliable Group Communication Applications". Proceedings of the Tenth International Conference on Networks (ICN 2011), January 23-28, 2011 - St. Maarten, The Netherlands Antilles.
Ting Wang and Ling Liu. ``Output Privacy in Data Mining", ACM Transactions on Database Systems. 36(1): 1 (2011).
Bugra Gedik, Kun-Lung Wu, Ling Liu, Philip Yu. ``Load Shedding in Mobile Systems with MobiQual", IEEE Transactions on Knowledge and Data Engineering. 23(2): 248-265 (2011).
Yiming Zhang, Ling Liu, Xicheng Lu and Dongsheng Li. ``Efficient range query processing over DHTs based on the balanced Kautz tree", CONCURRENCY AND COMPUTATION: PRACTICE AND EXPERIENCE. 23(8), pp796-814 (2011), John Wiley \& Sons, Ltd.

2010

Ting Wang, Mudhakar Srivatsa, Dakshi Agrawal and Ling Liu. "Spatio-Temporal Patterns in Network Events". Proceedings of the 6th ACM International Conference on Emerging Networking Experiments and Technologies (CoNEXT 2010).
Matt Weber, Ling Liu, Kipp Jones, Michael J. Covington, Lama Nachman, and Peter Pesti. ``On Map Matching of Wireless Positioning Data: A Selective Lookahead Approach", Proceedings of ACM 18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2010) November 2-5 2010 - San Jose, California. pp290-299.
Acceptance Rate: 36 out of 172
Myungcheol Doo, Ling Liu, Nitya Narasimhan, and Venu Vasudevan. "Efficient Indexing Structure for Scalable Processing of Spatial Alarms", Proceedings of ACM 18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2010) November 2-5 2010 - San Jose, California.
Shicong Meng, Ravi Soundararajan, Jennifer Anderson, and Ling Liu. "Tide: Achieving Self-Scaling in Virtualized Datacenter Management Middleware", Proceedings of the Middleware 2010 (ACM/IFIP/USENIX 11th International Middleware Conference) November 29 - December 3, 2010 Bangalore, India.
Peter Pesti, Ling Liu, Bhuvan Bamba, Arun Iyengar, Matt Weber. ``RoadTrack: Scaling Location Updates for Mobiles on Road Networks with Query Awareness", PVLDB 3(2): 1493-1504 (2010) Proceedings of the 36th International Conference on Very Large Data Bases, Singapore, Sept 13-17, 2010.
Sankaran Sivathanu, Cristian Ungureanu, and Ling Liu. ``Modeling the Performance and Energy of Storage Arrays", The 1st IEEE INTERNATIONAL GREEN COMPUTING CONFERENCE (IGCC 2010) Chicago, IL, USA, August 15-18, 2010.
Qinyuan Feng, Ling Liu, Yan Sun, Ting Yu, Yafei Dai. ``Enhancing Personalized Ranking Quality through Multidimensional Modeling of Inter-item Competition", Proceedings of 2010 International Conference on Collaborative Computing (CollaborateCom 2010), (IEEE Press), Chicago, Illinois, USA, October 9-12, 2010.
Yuehua Wang, Ling Liu, Calton Pu, Gong Zhang. ``An Utility-driven Routing Scheme for Scalling Multicast Applications", Proceedings of 2009 International Conference on Collaborative Computing (CollaborateCom 2010), (IEEE Press), Chicago, Illinois, USA, October 9-12, 2010.
Muhammad Bilal Anwer, Ankur Nayak, Nick Feamster, Ling Liu. ``Network I/O Fairness in Virtual Machines", Proceedings of the Second ACM SIGCOMM workshop on Virtualized Infrastructure Systems and Architectures (VISA 2010), co-located with ACM SIGCOMM 2010, New Delhi, India, August-September 2010.
Gong Zhang, Ling Liu, and Larry Chiu. ``Adaptive Data Migration in Multi-tiered Storage Based Cloud Environment", Proceedings of the 3rd IEEE International Conference on Cloud Computing (Cloud2010). July5-10, 2010, Miami, Florida, USA.
Yiduo Mei, Ling Liu, Xing Pu, Sankaran Sivathanu. ``Performance Measurements and Analysis of Network I/O Applications in Virtualized Cloud". Proceedings of the 3rd IEEE International Conference on Cloud Computing (Cloud2010). July5-10, 2010, Miami, Florida, USA.
Sankaran Sivathanu, Ling Liu, Mei Yiduo, Xing Pu. ``Storage Management in Virtualized Cloud Environment", Proceedings of the 3rd IEEE International Conference on Cloud Computing (Cloud2010). July5-10, 2010, Miami, Florida, USA.
Xing Pu, Ling Liu, Yiduo Mei, Sankaran Sivathanu, Younggyun Koh, Calton Pu. ``Understanding Performance Interference of I/O Workload in Virtualized Cloud Environments", Proceedings of the 3rd IEEE International Conference on Cloud Computing (Cloud2010). July5-10, 2010, Miami, Florida, USA.
Rui Zhang and Ling Liu. ``Security Models and Requirements for Healthcare Application Clouds", Proceedings of the 3rd IEEE International Conference on Cloud Computing (Cloud2010). July5-10, 2010, Miami, Florida, USA.
Shicong Meng and Ling Liu and Jianwei Yin. ``Scalable and Reliable IPTV Service Through Collaborative Request Dispatching", Proceedings of the 8th IEEE International Conference on Web Services (ICWS2010). July5-10, 2010, Miami, Florida, USA. pp 179-186
Gong Zhang, Larry Chiu, Clem Dickey, Ling Liu, Paul Muench, Sangeetha Seshadri. ``Automated Lookahead Data Migration in SSD-enabled Multi-tiered Storage Systems'', Proceedings of the 26th IEEE Symposium on Massive Storage Systems and Technologies (MSST2010), Nevada, USA, May 3-7, 2010.
Ting Wang and Ling Liu. ``Execution Assurance for Massive Computing Tasks", IEICE Transactions on Information and Systems, Vol. E93-D, No. 6 (June 2010). Special session on Info-Plosion.
Qinyuan Feng, Yan Lindsay Sun, Ling Liu, Yafei Yang, Yafei Dai. ``Voting Systems with Trust Mechanisms in Cyberspace: Vulnerabilities and Defenses", IEEE Transactions on Knowledge and Data Engineering.
Anand Murugappan and Ling Liu. ``An Energy Efficient Middleware Architecture for Processing Spatial Alarms on Mobile Clients", International Journal of Mobile Networks and Applications (MONET), 15(4): 543-561 (2010) Springer, Special issues on Mobility of Systems, Users, Data and Computing.
James Caverlee, Ling Liu, Steve Webb. ``The SocialTrust framework for trusted social information management: Architecture and algorithms", Information Science, 180(1): 95-112 (2010).
Yan Hua, Keke Chen, Ling Liu, Zhang Yi. ``SCALE: a scalable framework for efficiently clustering transactional Data", Data Mining and Knowledge Discovery (Springer). 20 (1) 1-27 (2010)
Ling Liu, Bhuvan Bamba, Myungcheol Doo, Peter Pesti and Matt Weber. ``mTrigger: An Event-based Framework for Location-based Mobile Triggers", Chapter 16 in Principles and Applications of Distributed Event-based Systems, edited by Alejandro Buchmann and Annika Hinze. Publisher: Information Science Reference 2010: 369-393
Eladio Martin, Ling Liu, Michael Covington, Peter Pesti and Matthew Weber. ``Positioning Technologies in Location-Based Services", In: Location-Based Services Handbook: Applications, Technologies, and Security, edited by Syed Ahson (Chapter 1).
HaRim Jung, ByungKu Cho, Yon Dohn Chung, and Ling Liu. ``On Processing Location Based Top-k Queries in the Wireless Broadcasting System", Proceedings of ACM Symposium On Applied Computing, March 22-26, 2010, EPFL, Lausanne, Switzerland. pp585-591.
Shicong Meng, Ting Wang, Ling Liu. ``Monitoring Continuous State Violation in Datacenters: Exploring the Time Dimension", 26th IEEE International Conference on Data Engineering, March 1-6, 2010, Long Beach, California, USA. pp968-979. Acceptance Rate: 1/8
Ting Wang and Ling Liu. ``XColor: Protecting General Proximity Privacy", 26th IEEE International Conference on Data Engineering, March 1-6, 2010, Long Beach, California, USA
Ting Wang and Ling Liu. ``Output Privacy in Stream Mining". Chapter 6 in {\em Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques}, Edited by Francesco Bonchi and Elena Ferrari, Chapman \& Hall/CRC Press. 2010. pp141-158.
Bhuvan Bamba, Ling Liu and Philip S. Yu. ``A Motion-Aware Safe Period-based Framework for Spatial Alarm Processing", International Journal of Computer Systems Science and Engineering - Special Issue on Mobile Data Management: Models, Methodologies and Services. IJCSSE Vol 25 No 4 May 2010.
Hua Yan, Keke Chen, and Ling Liu. `` Determining the Best K for Clustering Transactional Datasets: A Coverage Density-based Approach'', International Journal of Data & Knowledge Engineering , 20(1): 1-27 (2010) North Holland.

2009

Ling Liu, M. Tamer Oszu: Encyclopedia of Database Systems, Springer US 2009.
Mudhakar Srivatsa, Arun Iyengar, Ling Liu. "Privacy in VoIP Networks: A k-Anonymity Approach". IEEE INFOCOM 2009: 2856-2860
Mudhakar Srivatsa, Arun Iyengar, Jian Yin, Ling Liu: "Scalable key management algorithms for location-based services". IEEE/ACM Trans. Netw. 17(5): 1399-1412 (2009)
Anand Murugappan and Ling Liu. ``An Energy Efficient Middleware Architecture for Processing Spatial Alarms on Mobile Clients", International Journal Mobile Networks and Applications Springer. Jan. 2010.
Jae-Yoon Jung, Joonsoo Bae, and Ling Liu. ``Hierarchical Clustering of Business Process Models", International Journal of Innovative Computing, Information and Control. Vol. 5, No. 12, Dec. 2009. ICIC International, ISSN 1349-4198. pp1-11.
Eladio Martin, Ling Liu, Matt Weber, Peter Pesti, M. Woodward. ``Unified analytical models for location management costs and optimum design of location areas", Proceedings of 2009 International Conference on Collaborative Computing (CollaborateCom 2009), Washington D.C., Nov. 12-14, 2009. (IEEE Press)
Ting Wang and Ling Liu. ``Privacy-Aware Mobile Services over Road Networks". Proceedings of the 35th International Conference on Very Large Data Bases (VLDB'09). PVLDB 2(1): 1042-1053 (2009)
Sangeetha Seshadri, Vibhore Kumar, Brian F. Cooper, Ling Liu. ``A Distributed Stream Query Optimization Framework Through Integrated Planning and Deployment". IEEE Transactions on Parallel and Distributed Systems (TPDS), 20(10): 1439-1453 (2009).
Ting Wang, Mudhakar Srivatsa, Dakshi Agrawal and Ling Liu, ``Learning Indexing and Diagnosing Network Faults", Proceedings of the 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Paris, June 28-July 1, 2009. 857-866.
Bhuvan Bamba, Ling Liu, Philip Yu, Arun Iyengar. ``Distributed Processing of Spatial Alarms: A Safe Region-based Approach", Proceedings of IEEE Int. Conf. on Distributed Computing (ICDCS 2009), June 22-26, in Montreal, Quebec, Canada. pp207-214.
Acceptance Rate: 16% (74 out of 455).
Shicong Meng, Srinivas Kashyap, Chitra Venkatramani, and Ling Liu. ``REMO: Resource-Aware Application State Monitoring for Large-Scale Distributed Systems", Proceedings of IEEE Int. Conf. on Distributed Computing (ICDCS 2009), June 22-26, in Montreal, Quebec, Canada. pp 248-255.
Acceptance Rate: 16% (74 out of 455).
Yiming Zhang, Ling Liu, Xicheng Lu, Dongsheng Li. ``DHT-Based Range Query Processing for Web Service Discovery'', Processing of the IEEE 2009 International Conference on Web Services (ICWS 2009), July 6-10, 2009, Los Angeles, CA, USA. pp 474-484.
Gong Zhang, Ling Liu, Sangeetha Seshadri, Bhuvan Bamba, and Yuehua Wang. ``Scalable and reliable location services through decentralized replication'', Proceedings of the IEEE 2009 International Conference on Web Services (ICWS 2009), July 6-10, 2009, Los Angeles, CA, USA. pp 631-638.
Yan Hua, Keke Chen, Ling Liu. ``SCALE: A Scalable Framework for Efficiently Clustering Transactional Data", Data Mining and Knowledge Discovery (Springer). 68(1): 28-48 (2009)
Aameek Singh, Mudhakar Srivatsa, Ling Liu. ``Search-as-a-Service: Outsourced Search over Outsourced Storage", ACM Transactions on the Web (TWEB). TWEB 3(4): (2009)
Keke Chen and Ling Liu. ``Privacy-preserving Multiparty Collaborative Mining with Geometric Data Perturbation", IEEE Transactions on Parallel and Distributed Systems (TPDS), 2009.
Keke Chen and Ling Liu. ``HE-Tree: a Framework for Detecting Changes of Clustering Structure in Categorical Data Streams", International Journal of Very Large Databases.
Sangeetha Seshadri, Lawrence Chiu, Ling Liu. ``A Systematic Approach to System State Restoration during Storage Controller Micro-Recovery". Proceedings of the 7th USENIX Conference on File and Storage Technologies (FAST '09). February 24-27, 2009, San Francisco, CA283-296.
Ting Wang, Shicong Meng, Bhuvan Bamba, Ling Liu, and Calton Pu. '' A General Proximity Privacy Principle". Proceedings of the 25th IEEE International Conference on Data Engineering (ICDE 2009).
Mudhakar Srivatsa and Ling Liu. ``Mitigating Denial of Service Attacks on an Overlay Network: A Location Hiding Approach", IEEE Transactions on Parallel and Distributed Systems (TPDS), 20(4): 512-527 (2009).
James Caverlee and Ling Liu. ``A Parameterized Approach to Spam-Resilient Link Analysis of the Web", IEEE Transactions on Parallel and Distributed Systems (TPDS), 20(10): 1422-1438 (2009).

2008

Sangeetha Seshadri, Ling Liu, Lawrence Chu. ``Recovery scopes, recovery groups, and fine-grained recovery in enterprise storage controllers with multi-core processors", IBM Systems Journal, 2008.
Ting Wang and Ling Liu. ``From Data Privacy To Location Privacy". A Chapter in Machine Learning in Cyber Trust: Reliability, Security, Privacy. Editors: Jeffery Tsai and Philip Yu. Publisher: Springer-Verlag, 2008.
Bhuvan Bamba, Ling Liu, Philip S. Yu, Gong Zhang and Myungcheol Doo. ``Scalable Processing of Spatial Alarms", Proceedings of the 15th Annual IEEE International Conference on High Performance Computing (HiPC 2008), December 17-20, 2008, Bangalore, India. 232-244. Acceptance Rate: 15% (46 out of 319)
Keke Chen and Ling Liu. ``A Survey of Multiplicative Perturbation for Privacy-preserving Data Mining", Chapter 7 of Privacy-Preserving Data Mining: Models and Algorithms, Charu C. Aggarwal and Philip Yu (Eds), Springer-Verlag, 2008. pp176-179.
Keke Chen and Ling Liu. ``Best K: Critical Clustering Structures in Categorical Datasets", Knowledge and Information Systems (KAIS), Springer.
Aameek Singh, Ling Liu, Mustaque Ahamad. ``Privacy Analysis and Enhancements for Data Sharing in *nix Systems", International Journal of Information and Computer Security (IJICS), 2008.
Ting Wang, Chang-shing Perng, Tao Tao, Chungqiang Tang, Edward So, Chun Zhang, Rong Chang1, and Ling Liu. ``A Temporal Data-Mining Approach for Discovering End-to-End Transaction Flows", Proceedings of IEEE 2008 International Conference on Web Services (ICWS 2008), September 23-26, 2008. Beijing, China. 37-44. Acceptance rate: 16%
Anand Murugappan and Ling Liu. ``A Energy Efficient Approach to Processing Spatial Alarms on Mobile Clients", Proceedings of the ISCA 17th International Conference on Software Engineering and Data Engineering (SEDE-2008), June 30 - July 2, 2008, at the Omni Los Angeles Hotel at California Plaza, Los Angeles, California, USA. SEDE 2008: 246-251. Best Paper Award in data engineering.
Bhuvan Bamba, Sangeetha Seshadri, Ling Liu. ``Scaling Location-based Services with Dynamically Composed Location Index", Proceedings of the 2008 IEEE Int. Conference on Service Computing (SCC), July 8-11, 2008, Honolulu, Hawaii, USA. 453-460.
Sangeetha Seshadri, Vibhore Kumar, Brian Cooper, Bhuvan Bamba, Gong Zhang, Ling Liu, Karsten Schwan. "Grouping Distributed Stream Query Services by Operator Similarity and Network Locality", Proceedings of the 2008 IEEE Int. Conference on Service Computing (SCC), July 8-11, 2008, Honolulu, Hawaii, USA.
Jae-Yoon Jung, Joonsoo Bae, Ling Liu: Hierarchical Business Process Clustering. IEEE SCC (2) 2008: 613-616
Li Lin, Zhenglu Yang, Ling Liu, Masaru Kitsuregawa. ``Query-URL Bipartite based Approach to Personalized Query Recommendation", Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence (AAAI-08) to be held July 13 - 17 in Chicago, Illinois, USA. pp1189-1194.
Acceptance Rate: 24% (227 out of 937).
James Caverlee, Ling Liu, Steve Webb. ``SocialTrust: Tamper-Resilient Trust Establishment in Online Communities", Proceedings of the International Joint Conference on Digital Libraries (JDL 2008), June 16-20, 2008 - Pittsburgh, Pennsylvania. 104-114.
Yiming Zhang, Ling Liu, Dongsheng Li and Xicheng Lu. ``Distributed Line Graphs: A Universal Framework for Building DHTs Based on Arbitrary Constant-Degree Graphs", Proceeding of IEEE International Conference on Distributed Computing (ICDCS 2008), June 14-20, 2008, Beijing. pp152-159. Acceptance Rate: 16%
Mudhakar Srivatsa, Arun Iyengar, Jian Yin and Ling Liu. ``Mitigating Application Level Denial of Service Attacks on Web Servers: A Client Transparent Approach". ACM Transactions on the Web (TWEB), Vol 2. article 15. (This article is featured in MIT Technology Review Sept/oct. 2008)
Mudhakar Srivatsa, Arun Iyengar, and Ling Liu. "Preserving Caller Anonymity in Voice-over-IP Networks", Proceedings of the IEEE Symposium on Security and Privacy, May 18-21, 2008 pp.50-63. The Claremont Resort, Berkeley/Oakland, California, USA
Acceptance Rate: 11% (28 out of 249) 28 out of 249)
Bhuvan Bamba, Ling Liu, Peter Pesti and Ting Wang. "Supporting Anonymous Location Queries in Mobile Environments with PrivacyGrid", Proceedings of 17th International World Wide Web Conference (WWW'08), Beijing, China, April 2008. 237-246. Acceptance Rate: 11% (90 out of 880).
James Caverlee, Ling Liu, Steve Webb. "Towards robust trust establishment in web-based social networks with socialtrust". WWW 2008: 1163-1164
Sangeetha Seshadri, Lawrence Chiu, Cornel Constantinescu, Subashini Balachandran, Clem Dickey, and Ling Liu. ``Enhancing Storage System Availability on Multi-Core Architectures with Recovery-Conscious Scheduling", Proceedings of the 6th USENIX Conference on File and Storage Technologies (FAST'08), February 26-29, 2008, in San Jose, CA. 143-158.
Mudhakar Srivatsa, Arun Iyengar, Jian Yin and Ling Liu. ``Access Control in Location-based Broadcast Services", Proceedings of The 27th IEEE International Conference on Computer Communications (INFOCOM 2008), Phoenix, Arizona. pp. 256-260.
Acceptance rate: 21% (236 out of 1160).
Ting Wang and Ling Liu. ``Butterfly: Protecting Output Privacy in Stream Mining", Proceedings of the 2008 IEEE International Conference on Data Engineering (ICDE 2008), April 7-12, 2008, Cancun, Mexico. 1170-1179. pp.
Aameek Singh and Ling Liu. ``SHAROES: A Data Sharing Platform for Outsourced Enterprise Storage Environments", Proceedings of the 2008 IEEE International Conference on Data Engineering (ICDE 2008), April 7-12, 2008, Cancun, Mexico. 993-1002.
Bugra Gedik, Kun-Lung Wu, Philip S. Yu, and Ling Liu. ``MobiQual: QoS-aware Load Shedding in Mobile CQ Systems", Proceedings of the 2008 IEEE International Conference on Data Engineering (ICDE 2008), April 7-12, 2008, Cancun, Mexico. 1121-1130.
Jianjun Zhang, Ling Liu, Lakshmish Ramaswamy, Calton Pu: PeerCast: Churn-resilient end system multicast on heterogeneous overlay networks. J. Network and Computer Applications 31(4): 821-850 (2008)
Bugrg Gedik and Ling Liu. ``Protecting Location Privacy with Personalized k-Anonymity: Architecture and Algorithms". IEEE Transactions on Mobile Computing. 7(1): 1-18 (2008)
(This article was featured in PHYSORG.com Technology Section, December 2007).

2007

Jianjun Zhang, Ling Liu, Gong Zhang, Lakshmish Ramawamy. ``A Utility-Aware Middleware Architecture for Decentralized Group Communication Applications", Proceedings of ACM/IFIP/USENIX 8th International Middleware Conference. Newport Beach, Orange County, California, USA. November 26th - 30th, 2007. Acceptance Rate: 20% (22 out of 107)
Jialie Shen, John Shepherd, Bin Cui. and Ling Liu. ``Intelligent Music Information Systems: tools and methodologies", IGI Global, 2007. ISBN 978 159904663-1. 363 pages.
Cui Bin, Ling Liu, Calton Pu, Jialei Shen, Kian-Lee Tan. ``QueST: Querying Music Databases by Acoustic and Textual Features", Proceedings of ACM Multimedia, Augsburg, Germany, September 24 - 29, 2007.
Bugra Gedik, Kun-Lung Wu, Philip S. Yu, and Ling Liu. "GRUBJOIN: An Adaptive, Multi-Way, Windowed Stream Join with Time Correlation-Aware CPU Load Shedding", IEEE Transactions on Knowledge and Data Engineering, Vol. 19, No.10, 2007. pp1361-1380. (ISBN: 1041-4374).
Kipp Jones and Ling Liu and Farshid Alizadeh-Shabdiz. ``Map-matching: Towards Improving Wireless Positioning", Proceedings of the 4th Annual International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous 2007). August 6-10, 2007, Philadelphia, PA. AR: 22.6% (27 out of 119).
Anand Murugappan and Ling Liu. ``A SpatioTemporal Placement Model for Caching Location Dependent Queries", Proceedings of the 4th Annual International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous 2007). August 6-10, 2007, Philadelphia, PA. AR: 22.6% (27 out of 119).
James Caverlee and Ling Liu. ``Countering Web Spam with Credibility-Based Link Analysis", Proceedings of the 26th ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing (PODC) 2007, to be held in Aug 12-16, Portland, OR.
AR: 15% (32 out of 204)
Li Xiong, Subramanyam Chitti, and Ling Liu. ``Protecting Data Privacy in Outsourcing Data Aggregation Services", ACM Transactions on Internet Technology}, Special Issue on the Internet and Outsourcing. Volume 7, No. 3 (August 2007) Article 17, pp1-28. (ISSN: 1533-5399)
Bugra Gedik, Ling Liu, and Philip Yu. ``ASAP: An Adaptive Sampling Approach to Data Collection in Sensor Networks", IEEE Transactions on Parallel and Distributed Computing (TPDS).
Joonsoo Bae, Ling Liu, James Caverlee, Liang Jie Zhang, Hyerim Bae. ``Development of Distance Measures for Process Mining, Discovery, and Integration", International Journal of Web Services Research (JWSR).
Jianjun Zhang, Gong Zhang, Ling Liu. ``GeoGrid: A Scalable Location Service Network". Proceedings of 27th IEEE International Conference on Distributed Computing Systems (ICDCS 2007). Acceptance Rate: 13% (71 out of 528).
Mudhakar Srivatsa and Ling Liu. "Secure Event Dissemination in Content-Based Publish-Subscribe Networks". Proceedings of 27th IEEE International Conference on Distributed Computing Systems (ICDCS 2007). Acceptance Rate: 13% (71 out of 528).
Aameek Singh, Mudhakar Srivatsa, Ling Liu. ``Efficient and Secure Search of Enterprise File Systems", Proceedings of IEEE International Conference on Web Services (ICWS 2007), July 9-13, 2007, Salt Lake City, Utah, USA. AR: 18%
Sangeetha Seshadri, Lawrence Chiu, Karan Gupta, Paul Muench, Ling Liu and Brian F. Cooper. ``A Fault-Tolerant Middleware Architecture for High-Availability Storage Services". IEEE International Conference on Services Computing (SCC) 2007. July 9-13, 2007, Salt Lake City, Utah, USA.
Jianjun Zhang, Ling Liu, Lakshmish Ramaswamy. ``PeerCast: Churn-Resilient End System Multicast on Heterogeneous Overlay Networks", Journal of Network and Computer Applications (JNCA), Elsevier, 2007. ms. 30.
Lakshmish Ramaswamy, Ling Liu, Arun Iyengar. ``Cooperative Edge Cache Grid: Scalable Delivery of Dynamic Content", IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 19, No. 5, 2007.
Kipp Jones and Ling Liu. ``What Where Wi: An Analysus of Millions of WiFi Access Points", Proceedings of 2007 IEEE Portable: International Conference on Portable Information Devices. Orlando, FL, March 25-29
L. Xiong, S. Chitti, L. Liu. ``Mining Multiple Private Databases using a kNN Classifier". In ACM Annual Symposium of Applied Computing (SAC), Data Mining Track, Seoul, Korea, March, 2007
Keke Chen and Ling Liu. ``Towards Attack-Resilient Geometric Data Perturbation", Proceedings of the 7th SIAM (Society for Industrial and Applied Mathematics) International Conference on Data Ming (SDM 2007), to be held in Minneapolis, Minnesota, April 26-28, 2007.
Keke Chen and Ling liu: ``Space Adaptation: Privacy-preserving Multiparty Collaborative Mining with Geometric Perturbation", ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing (PODC 2007)
James Caverlee, Steve Webb, and Ling Liu. "Spam-Resilient Web Rankings via Influence Throttling", Proceedings of the 21st IEEE International Parallel and Distributed Processing Symposium (IPDPS), Long Beach, 2007. Acceptance rate: 26% (109 out of 419)
Sangeetha Seshadri, Vibhore Kumar, Brian F. Cooper and Ling Liu. "Optimizing Multiple Distributed Stream Queries Using Hierarchical Network Partitions", Proceedings of the 21st IEEE International Parallel and Distribute d Processing Symposium (IPDPS), Long Beach, 2007. Acceptance rate: 26% (109 out of 419).
Bugra Gedik, Ling Liu, Kun-Lung Wu, Philip S. Yu. " Lira: Lightweight, Region-aware Load Shedding in Mobile CQ Systems". Proceedings of the IEEE 23rd International Conference on Data Engineering. Istanbul, Turkey; April 17-20, 2007.
Acceptance Rate: 18.5% (122 out of 659).
Bugra Gedik, Kun-Lung Wu, Philip S. Yu, and Ling Liu. "A Load Shedding Framework and Optimizations for M-way Windowed Joins". Proceedings of the IEEE 23rd International Conference on Data Engineering. Istanbul, Turkey; April 17-20, 2007.
Acceptance Rate: 18.5% (122 out of 659).
Bhuvan Bamba, Ling Liu, James Caverlee, Vaibhav Padliya, Mudhakar Srivatsa, Mahesh Palekar, Joseph Patrao, Tushar Virender Bansal, Suiyang Li, Aameek Singh. "DSphere: A Source-Centric Approach to Crawling, Indexing and Searching the World Wide Web", Accepted Software demonstration paper in IEEE 23rd International Conference on Data Engineering. Istanbul, Turkey; April 17-20, 2007.
Acceptance Rate: 28 out of 73 demo submissions
Daniel Rocco, James Caverlee, Ling Liu and Terence Critchlow. "Service Class Driven Dynamic Source Discovery with DynaBot", International Journal of Web Services Research (JWSR). Vol. 4, No. 3, July-September, 2007.
Yongjing Lin, Wenyuan Li, Keke Chen and Ying Liu, "Document Clustering and Ranking System for Exploring MEDLINE Citations", Volume 14, Issue 5,2007, Journal of the American Medical Informatics Association (JAMIA).

2006

Aameek Singh, Ling Liu, Mustaque Ahamad. "Privacy Analysis for Data Sharing in *nix Systems", USENIX Annual Technical Conference, General Track 2006:pp249-254
Bugra Gedik, Kun-Lung Wu, Philip S. Yu, and Ling Liu. CPU Load Shedding for Binary Stream Joins". Springer Knowledge and Information Systems. DOI 10.1007/s10115-006-0044-4, September 21, 2006.(ISSN 0219-1377)
James Caverlee, Ling Liu, and Daniel Rocco. Discovering Interesting Relationships among Deep Web Databases: A Source-Biased Approach", International Journal of World Wide Web: Internet and Web Information Systems, Springer (WWWJ).
James Caverlee, Ling Liu, and Willam B. Rouse. Link-Based Ranking of the Web with Source-Centric Collaboration. 2nd International Conference on Collaborative Computing: Networking, Applications and Worksharing, (CollaborateCom), Atlanta, 2006.
J. Caverlee, M. Srivatsa, and L. Liu. "Countering Web Spam Using Link-Based Analysis". The 2nd Cyber Security and Information Infrastructure Research Workshop (CSIIRW), Oak Ridge National Laboratory, 2006.
Hua Yan, Keke Chen, Ling Liu, Joonsoo Bae. ``Efficiently Clustering Transactional Data with Weighted Coverage Density", Proceedings of ACM Int. Conf. on Knowledge and Information Management (CIKM 2006), November 6-11, 2006, Sheraton Crystal City Hotel, Arlington, VA 22202 USA. pp367-376. Acceptance Rate: 15% (a total of 537 submissions).
L. Xiong, S. Chitti, L. Liu. Mining Multiple Private Databases using a Privacy Preserving kNN Classifier". In 15th ACM Conference on Information and Knowledge Management (CIKM 2006), Arlington, November, 2006 (Poster Paper)
Mudhakar Srivatsa, Arun Iyengar, Jian Yin and Ling Liu, "A Middleware System for Protecting Against Application Level Denial of Service Attacks" , Proceedings of 7th ACM/IFIP/USENIX International Middleware Conference (Middleware 2006), Acceptance Rate: 17% (21 out of 122)
Mudhakar Srivatsa and Ling Liu. "Key Derivation Algorithms for Monotone Access Structures in Cryptographic File Systems" , Proceeding of 11th European Symposium on Research in Computer Security (ESORICS 2006) be held in Hamburg (Germany), 18-20 September 2006. Acceptance Rate:
Mudhakar Srivatsa, Arun Iyengar, Jian Yin and Ling Liu. "A Client-Transparent Approach to Defend Against Denial of Service Attacks", Proceedings of 25th IEEE Symposium on Reliable Distributed Systems (SRDS 2006), to be held in Leeds, UK. Oct. 2-4, 2006. Acceptance rate:
Joonsoo Bae, Ling Liu, James Caverlee and William Rouse. Processing Mining, Discovery and Integration using Distance Measures, Proceedings of IEEE Int. Conf. on Web Services. to be held in Chicago, USA, Sept 18-22.
Joonsoo Bae, James Caverlee, Ling Liu, Bll Rouse, and Hua Yan. Process Mining by Measuring Process Block Similarity, in Proceedings of the Workshop on Business Process Intelligence (BPI at BPM '06). September 5-7, 2006 in Vienna.
J. Caverlee, L. Liu, and J. Bae. ``Distributed Query Sampling: A Quality-Conscious Approach, Proceedings of the 29th Annual International ACM SIGIR Conference on Research & Development on Information Retrieval (SIGIR '06). August 6-11, 2006 in Seattle. Acceptance rate: 18.5% (74 out of 399) pp340-347. ACM Press
(slides)
Bugra Gedik and Ling Liu. ``Quality-Aware Distributed Data Delivery for Continuous Query Services", ACM 2006 International Conference on Management of Data (ACM SIGMOD), Chicago, June 26-29, 2006. AR: 13% (58 out of 446).
Lakshmish Ramaswamy, Ling Liu, and Jianjun Zhang. ``Efficient Formation of Edge Cache Groups for Dynamic Content Delivery". Proceedings of the 26th International Conference on Distributed Computing Systems (ICDCS-2006), to be held in Lisbon, Portugal, July 2006. AR: 13.8% (75 out of 540).
Mudhakar Srivatsa and Ling Liu, ``Securing Decentralized Reputation Management using TrustGuard", Journal of Parallel and Distributed Computing (JPDC) Special Issue on Security in Grid and Distributed Systems.
Bugra Gedik and Ling Liu. MobiEyes: A Distributed Location Monitoring Service Using Moving Location Queries. IEEE Transactions on Mobile Computing. Vol. 5, No. 10, pp. 1384-1402, October 2006.
Mudhakar Srivatsa and Ling Liu, ``DHTGuard: Security Threats in Structured Overlay Networks", Springer International Journal of Information Security.
Keke Chen and Ling Liu. ``Detecting Change of Clustering Structure in Categorical Data Stream", Proceedings of the SIAM International Conference on Data Mining (SDM06), Maryland, April 20-22, 2006. pp504-508. AR: 16.15% (40 out of 242) - full papers, 14.9% (36 out of 202) - short papers
Keke Chen and Ling Liu. ``iVIRBRATE: Interactive Visualization Based Framework for Clustering Large Datasets", ACM Transactions on Information Systems.
Aameek Singh, Bugra Gedik and Ling Liu. ``Agyaat: Mutual Anonymity over Structured P2P Networks", Emerald Internet Research Journal (Special Issue on Privacy and Anonymity in the Digital Era), 2006. Vol. 16, No. 2, 2006. ISBN 1066-2243. pp189-212.
Bugra Gedik, Kun-Lung Wu, Philip Yu, and Ling Liu. ``Processing Moving Queries over Moving Objects Using Motion Adaptive Indexes", IEEE Transactions on Knowledge and Data Engineering (TKDE).
Mudhakar Srivatsa, Bugra Gedik, and Ling Liu. ``Scaling Unstructured Peer-to-Peer Networks with Heterogeneity-Aware Topology And Routing". IEEE Transaction on Parallel and Distributed Systems (TPDS), Vol. 17, No. 10, Oct. 2006. pp1-17.
Ling Liu, Jianjun Zhang, Wei Han, Calton Pu, James Caverlee, Sungkeun Park, Terence Critchlow, Matthew Coleman, David Buttler. "XWRAPComposer: A Multi-Page Data Extraction Service", Journal of Web Services Research, Vol. 3, No. 2, April - June 2006. pp33-60.
Johannes Gehrke and Ling Liu. "Guest Editors' Introduction: Sensor-Network Applications", IEEE Internet Computing, Volume 10, Number 2, March-April 2006. pp16-17.

2005

Mudhakar Srivatsa and Ling Liu. ``Securing Publish-Subscribe Overlay Services with EventGuard", Proceedings of ACM Computer and Communication Security (CCS 2005),November 7-11, 2005, Hilton Alexandria Mark Center, Alexandria, VA, USA. AP: 15% (38 out of 249).
Bugra Gedik, Kun-Lung Wu, Philip Yu, and Ling Liu. ``Adapstive Load Shedding for Windowed Stream Joins", Proceedings of the 14th ACM Conference on Information and Knowledge Management (CIKM), October 31 - September 5, 2005, Bremen, Germany. Acceptance Rate: 17.8% (76 out of 425).
Mudhakar Srivatsa and Ling Liu. ``Countering Targeted File Attacks using LocationGuard", Proceedings of the 14th USENIX Security Symposium (USENIX Security), August 1 - 5, 2005, Baltimore, MD. pp81-96. AR: 14% (22 out of 148).
James Caverlee and Ling Liu. ``QA-Pagelet: Data Preparation Techniques for Large Scale Data Analysis of the Deep Web", IEEE Transactions on Knowledge and Data Engineering - Special Issue on Intelligent Data Preparation. Vol 17, No. 9, (2005) pp1247-1262.
Renato Fileto, Claudia Bauzer Medeiros, Ling Liu, Calton Pu, Eduardo Delgado Assad. ``Building a Semantic Web System for Scientific Applications: An Engineering Approach", Proceedings of the International Conference on Web Information Systems Engineering (WISE 2005), New York City, New York, Nov. 22-25, 2005. pp633-642.
Jianjun Zhang, Ling Liu, Calton Pu. ``Constructing a Proximity-Aware Power Law Overlay Network", IEEE Global Telecommunications Conference (GLOBECOM 2005), Nov. 28 - Dec. 02, 2005, St. Louis, Missouri, USA.
Keke Chen and Ling Liu: "The Best K for Entropy-based Categorical Clustering", Proc of Scientific and Statistical Database Management (SSDBM05). Santa Barbara, CA June 2005. pp253-262.
Keke Chen and Ling Liu. ``A Random Rotation Perturbation Approach to Privacy Preserving Data Classification", Proceedings of the Third IEEE International Conference on Data Mining (ICDM'05), New Orleans, Louisiana, U.S.A., November 27-30, 2005. (full paper)
Acceptance Rate: 69 out of 630 regular papers and 72 out of 561 short papers.
Bugra Gedik, Ling Liu. "A Customizable k-Anonymity Model for Protecting Location Privacy". The 25th International Conference on Distributed Computing Systems (IEEE ICDCS 2005). pp620-629.
AR: 14% (77 out of 540)
Lakshmish Ramaswamy, Ling Liu and Arun Iyenagar, "Cache Clouds: Cooperative Caching of Dynamic Documents on Edge Networks". Proceedings of the 25th International Conference on Distributed Computing Systems (ICDCS-2005). pp229-238.
AR: 14% (77 out of 540)
L. Xiong, S. Chitti, L. Liu. Topk Queries across Multiple Private Databases. Proceedings of the 25th International Conference on Distributed Computing Systems (ICDCS 2005), Columbus, June, 2005 pp145-164.
AR: 14% (77 out of 540)
Lakshmish Ramaswamy, Arun Iyengar, Ling Liu, Fred Douglis. ``Automatic Fragment Detection in Dynamic Web Pages and its Impact on Caching", 2005 Pat Goldberg Memorial Best Paper Award. IEEE Transactions on Knowledge and Data Engineering, Vol.17 No.6, June 2005 (TKDE). PP. 859-874, June 2005.
Mudhakar Srivatsa, Li Xiong and Ling Liu. ``TrustGuard: Countering Vulnerabilities in Reputation Management For Decentralized Overlay Networks, Proceed ings of 14th World Wide Web Conference (WWW 2005), May 10-14, 2005, in Chiba, Japan. AR: 14% (77 out of 550).
Ling Liu, Jianjun Zhang, Wei Han, Calton Pu, James Caverlee, Sungkeun Park, Terence Critchlow, Matthew Coleman, David Buttler. "XWRAPComposer: A Multi-Page Data Extraction Service for Bio-Computing Applications", Proceedings of IEEE International Conference on Service Oriented Computing (SCC 2005), Orlando, Florida, USA, July 12-15, 2005.
AR: 18.75% (33 out of 176).
D. Rocco, J. Caverlee, L. Liu, and T. Critchlow. ``Exploiting the Deep Web with DynaBot: Matching, Probing, and Ranking", Proceedings of the 14th International World Wide Web Conference (WWW '05). May 10-14, 2005 in Chiba, Ja pan. Poster. pp.
Bugra Gedik and Ling Liu. ``A Scalable Peer-to-Peer Architecture for Distributed Information Monitoring Applications", IEEE Transactions on Computers. Vol. 54, No.6. June 2005. pp767-782.
Lakshmish Ramaswamy, Bugra Gedik, Ling Liu. "A Distributed Approach to Node Clustering in Decentralized Peer-to-Peer Networks", IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 16, No. 9, Sept. 2005. pp1-16.
Ling Liu, David Buttler, James Caverlee, Wei Han, Calton Pu, Jianjun Zhang. ``A Methodical Approach to Extracting Meaningful Objects from Dynamic Web Pages", International Journal of Web and Grid services, Special issue on Semantic Web Mining and Reasoning.
Mudhakar Srivatsa, Li Xiong, Ling Liu. `` ExchangeGuard: A Distributed Protocol for Electronic Fair-Exchange'', Proceedings of the 19th International Parallel and Distributed Processing Symposium (IPDPS 2005), April 4-8, 2005 in Denver, Colorado.
AR: 12% (60 out of 505)
Sungkeun Park, Ling Liu, Calton Pu, Mudhakar Srivatsa, Jianjun Zhang. ``Resilient Trust Management for Web Service Integration", Proceedings of the 3rd IEEE International Conference on Web Services (ICWS 2005).
Daniel Daniel Rocco, James Caverlee, Ling Liu, and Terence Critchlow. ``Domain-specific Web Service Discovery with Service Class Descriptions", Proceedings of the 3rd IEEE International Conference on Web Services (ICWS 2005).
Daniel Rocco, James Caverlee, and Ling Liu. ``XPACK: A High-performance Web Document Encoding'', Proceedings of the International Conference on Web Information Systems and Technologies (WEBIST2005), 26-28 May 2005 Miami Beach, Florida, USA.
Aameek Singh, Kaladhar Voruganti, Sandeep Gopisetty. David Pease, and Ling Liu. ``A Hybrid Access Model for Storage Area Networks", Proceedings of the IEEE-NASA Conference on Mass Storage Systems and Technologies (MSST), April 11-14, 2005, Monterey, California USA.
Aameek Singh, Kaladhar Voruganti, Sandeep Gopisetty. David Pease, Linda Duyanovich and Ling Liu. ``Security vs Performance: Tradeoffs using a Trust Framework", Proceedings of the 22nd IEEE-NASA Conference on Mass Storage Systems and Technologies (MSST), April 11-14, 2005, Monterey, California, USA.

2004

James Caverlee, Ling Liu, Daniel Rocco. "Discovering and Ranking Web Services with BASIL: A Personalized Approach with Biased Focus", proceedings of the 2nd International Conference on Service Oriented Computing. New York City, NY, USA, November 15-18, 2004. Co-sponsored by ACM SIGWEB and ACM SIGSOFT (ACM Press). Acceptance Rate: 20% (33 out of 164). [slides]
Mudhakar Srivatsa and Ling Liu. "Vulnerabilities and Security Threats in Structured Overlay Networks: A Quantitative Analysis", Proceedings of the 20th Annual Computer Security Applications Conference (ACSAC 2004), (IEEE Press). December 6-10, 2004, Tucson, Arizona
Bugra Gedik, Kun-Lung Wu, Philip Yu, Ling Liu. ``Motion Adaptive Indexing for Moving Continual Queries over Moving Objects", Proceedings of the ACM Conference on Information and Knowledge Management (CIKM 2004), November 8-13, 2004, Hyatt Arlington Hotel, Washington D.C., U.S.A. Acceptance Rate: 19\% (59 out of 303).
Keke Chen and Ling Liu. ``ClusterMap: Labeling Clusters in Large Datasets via Visualization", Proceedings of the ACM Conference on Information and Knowledge Management (CIKM 2004), November 8-13, 2004, Hyatt Arlington Hotel, Washing ton D.C., U.S.A. Acceptance Rate: 19% (59 out of 303).
Bugra Gedik, Aameek Singh, Ling Liu. ``Energy Efficient Exact kNN Search in Wireless Broadcast Environments", Proceedings of thei 12th International Symposium of ACM GIS, 2004, Washington, D.C., November 12th--13th, 2004. Acceptance Rate: 30% (30 out of 90).
Lakshmish Ramaswamy, Arun Iyengar, Ling Liu, Fred Douglis. ``Automatic Detection of Fragments in Dynamically Generated Web Pages", Proceedings of the 10th International Conference on World Wide Web, May 17-22, 2004. (Manhattan, N.Y.) pp443-453. (acceptance rate: 14.6%) Best Paper Award
David Buttler, Dan Rocco, Ling Liu. ``Efficient Web Change Monitoring with Page Digest", Proceedings of the 10th International Conference on World Wide Web, May 17-22, 2004. (Manhattan, N.Y.) Poster Paper, pp476-477
Wei Tang, Kipp Jones, Ling Liu, Calton Pu. ``BizCQ: Using Continual Queries to Cope with Changes in Business Information Exchange", Proceedings of the 10th International Conference on World Wide Web, May 17-22, 2004. (Manhattan, N.Y.) Poster Paper, pp470-471
Aameek Singh and Ling Liu. ``A Hybrid Topology Architecture for P2P Systems", In Proceedings of the THIRTEENTH INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS AND NETWORKS (ICCCN 2004), October 11-13, 2004 Chicago, IL USA, Holiday Inn Chicago - O'Hare Intl, USA
Jianjun Zhang, Ling Liu, Calton Pu, and Mustafa Ammar. ``Reliable Peer-to-peer End System Multicasting through Replication", IEEE International Conference on Peer to Peer Computing (P2P 2004), Zurich, Switzerland, Aug. 25-27, 2004.
Mudhakar Srivatsa, Bugra Gedik, Ling Liu. ``Scaling Unstructured Peer-to-Peer Networks with Multi-Tier Capacity-Aware Overlay Topologies", Proceedings of the Tenth International Conference on Parallel and Distributed Systems (ICPADS 20 04), July 7-9 in Newport Beach, California. (IEEE ICPADS 2004).
Acceptance Rate: 22.3% (65/292)
Keke Chen and Ling Liu. ``VISTA: Validating and Refining Clusters via Visualization", Journal of Information Visualization, Volume 3, Issue 4, Sept 2004. ISSN: 1473-8716 (Palgrave Macmillan Ltd) pp227-244.
Li Xiong and Ling Liu. ``Reputation and Trust in Mobile Commerce", A chapter in Advances in Security and Payment Methods for Mobile Commerce , Idea Group, Inc.
James Caverlee, Ling Liu, and David Buttler. "Probe, Cluster, and Discover: Focused Extraction of QA-Pagelets from the Deep Web", Proceedings of the 20th IEEE International Conference on Data Engineering (ICDE 2004), March 30-April 2, 2004 (Boston, USA). Acceptance Rate: 14% (63 out of 441). [slides]
Bugra Gedik and Ling Liu. "MobiEyes: Distributed Processing of Continuously Moving Queries on Moving Objects in a Mobile System", Proceedings of the 9th International Conference on Extending Database Technology (EDBT), March 14-18, 2004 (Heraklion - Crete). (acceptance rate: 14% (42 out of 294)
Li Xiong and Ling Liu. "PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities", IEEE Transactions on Knowledge and Dat a Engineering, Vol.16, No. 7 (July 2004). Special issue on Peer to Peer Based Data Man agement. pp 843-857.
Lakshmish Ramaswamy and Ling Liu. `` An Expiration-Age Based Document Placement Scheme for Cooperative Web Caching", In: IEEE Transactions on Knowledge and Data Engineering, Vol 16, No. 5 (May 2004). pp.585-600
Henrique Paques, Ling Liu, and Calton Pu. "Adaptation Space: A Design Framework for Adaptive Web Services". International Journal of Web Service Research (JWSR), Vol. 1, No. 3, July-Sept. 2004. pp1-24.
Lonnie Harvel, Gregory Abowd, Ling Liu, Yu-Xi Lim, Chris Scheibe, Chris Chatham ``Context Cube: Flexible and Effective Manipulation of Sensed Context Data", In Proceedings of the 2nd International Conference on Pervasive Computing (PERVASIVE 2004), April 18-23, Linz/Vienna, Austria.
Galen S. Swint Calton Pu Younggyun Koh Ling Liu Wenchang Yan Charles Consel Koichi Moriyama Jonathan Walpole. "Infopipes: The ISL/ISG Implementation Evaluation", International Conference on Network Computing and Applications (NCA 2004).

2003

Ling Liu, Wei Tang, David Buttler, and Calton Pu. "Information Monitoring on the Web: A Scalable Solution". World Wide Web Journal (by Kluwer Academic Publishers), Volume 5, No. 4.
Aameek Singh, Mudhakar Srivatsa, Ling Liu and Todd Miller. " Apoidea: A Decentralized Peer-to-Peer Architecture for Crawling the World Wide Web" In: Proccedings of the ACM SIGIR workshop on Distributed IR, Aug. 1, 2003. Lecture Notes of Computer Science (LNCS) series, Springer Verlag
Aameek Singh and Ling Liu. "TrustMe: Anonymous Management of Trust Relationships in Decentralized P2P networks", In: Proceedings of the third IEEE Conference on Peer-to-Peer Computing, September 1-, Linkoping, Sweden.
Lakshmish Ramaswamy, Bugra Gedik, Ling Liu. "Connectivity Based Node Clustering in Decentralized Peer to Peer Networks", In: Proceedings of the third IEEE Conference on Peer-to-Peer Computing, September 1-, Linkoping, Sweden. (AR:32%)
Bugra Gedik and Ling Liu. ``Building Reliable Peer-to-Peer Information Monitoring Service Through Replication". Proceedings of the 22nd Symposium on Reliable Distributed Computing (SRDS2003), 6th-8th/October, 2003 - Florence, Italy. (IEEE SRDS 2003). Acceptance Rate:28.6% (36/126)
Keke Chen and Ling Liu, "Validating and Refining Clusters via Visual Rendering", Proceedings of the IEEE Conference on Data Mining, 2003 (IEEE ICDM 2003). Melbourne, Florida, USA, November 19 - 22, 2003
Keke Chen and Ling Liu. ``Vista: Visualization Expedites Large-Scale Clustering", Submitted.
Lakshmish Ramaswamy, Arun Iyengar, Ling Liu, Fred Douglis. ``Automatic Detection of Fragments in Websites", Proceedings of ACM International Conference on Information and Knowledge Management, 2003.
Renato Fileto, Ling Liu, Calton Pu, Claudia Bauzer Medeiros, Eduardo Delgado Assad. "POESIA: An Ontological Workflow Approach for Composing Web Services in Agriculture", International Journal of Very Large Database Systems, 12(4): 352-367 (2003). Special issue on Semantic Web, Guest Editors: Vijay Atluri, Anupam Joshi, Yelena Yesha.
Renato Fileto, Claudia Bauzer Medeiros, Ling Liu, Calton Pu, and Eduardo Delgado Assad. "Using Domain Ontologies to Help Track Data Provenance", Proceedings of SBBD 2003. (Symposium of the Brazilian Databases Conference) pp84-98.
Bugra Gedik and Ling Liu. ``PeerCQ: A Decentralized and Self-Configuring Peer-to-Peer Information Monitoring System". Proceedings of the 23rd International Conference on Distributed Computing Systems (ICDCS2003), May 19-22, 2003, Providence, Rhode Island USA. Acceptance Rate: 17.7% (72/406). (Best Paper Award)
Henrique Paques, Ling Liu, and Calton Pu. "Adaptation Space: A Design Framework for Adaptive Web Services". Proceedings of International Conference on Web Services - Europe, 2003.
Li Xiong and Ling Liu. ``A Reputation-Based Trust Model for Peer-to-Peer eCommerce Communities". Proceedings of the 2003 IEEE Conference on E-Commerce (CEC'03). Newport Beach, USA, June, 2003.
L. Xiong, L. Liu. " A Reputation-Based Trust Model for Peer-to-Peer eCommerce Communities (Extended Abstract). In Fourth ACM Conference on Electronic Commerce (EC'03), San Diego, June, 2003
Daniel Rocco, David Buttler, and Ling Liu. ``Page Digest for Large-Scale Web Services". Proceedings of the 2003 IEEE Conference on E-Commerce (CEC'03).
Tarik Arici, Bugra Gedik, Yucel Altunbasak, Ling Liu. ``PINCO: a Pipelined In-Network COmpression Scheme for Data Collection in Wireless Sensor Networks". The 12th International Conference on Computer Communications and Networks (IEEE ICCCN 2003). (AR:32%)
Keke Chen and Ling Liu. ``A Visual Framework Invites Human into the Clustering Process", Proceedings of the International Conference on Scientific and Statistical Database Management (SSDBM2003), July 9-11 2003, Cambridge, MA (USA).
I. Altintas, S. Bhagwanani, D. Buttler, S. Chandra, Z. Cheng, M. Coleman, T. Critchlow, A. Gupta, W. Han, L. Liu, B. Ludäscher, C. Pu, R. Moore,A. Shoshani, and M. Vouk. "A Modeling and Execution Environment for Distributed Scientific Workflows", In 15th Intl. Conference on Scientific and Statistical Database Management (SSDBM), Boston, Massachussets, 2003.
Wei Tang, Ling Liu, and Calton Pu. ``Trigger Grouping: A Scalable Approach to Large Scale Information Monitoring", The 2nd IEEE International Symposium on Network Computing and Applications (NCA-03). April 16-18, 2003 Royal Sonesta Hotel, Cambridge, MA, USA.
I. Altintas, S. Bhagwanani, D. Buttler, S. Chandra, Z. Cheng, M. Coleman, T. C ritchlow, A. Gupta, W. Han, L. Liu, B. Lud\344scher, C. Pu, R. Moore,A. Shosha ni, and M. Vouk. "A Modeling and Execution Environment for Distributed Scientific Workflows", Proceedings of the 15th Intl. Conference on Scientific and Statistical Database Management (SSDBM), Boston, Massachusetts, 2003. pp247-250
Lakshmish Ramaswamy and Ling Liu. ``An Expiration-Age Based Document Placement Scheme for Cooperative Web Caching", Accepted in March 2003 by IEEE Transactions on Knowledge and Data Engineering.
Henrique Paques, Ling Liu, and Calton Pu. Distributed Query Adaptation and Its Trade-offs. Proceedings of the Eighteenth Annual ACM Symposium on Applied Computing (ACM SAC 2003) , March 9 to 12, 2003, Melbourne, Florida, USA. (DataBase Systems track)
Keke Chen and Ling Liu. ``Cluster Rendering of Skewed Datasets via Visualization". Proceedings of the Eighteenth Annual ACM Symposium on Applied Computing (ACM SAC 2003), March 9 to 12 , 2003, Melbourne, Florida, USA. (Multimedia and Visualization track)
Lakshmish Ramaswamy and Ling Liu. `` FreeRiding: A New Challenge for Peer-to-Peer File Sharing Systems". In: Proceedings of the 36th HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS-36) - Peer-to-Peer (P2P) Computing Track, January 6-9, 2003, Hilton Waikoloa Village, Big Island, Hawaii.

2002

Bugra Gedik and Ling Liu. ``A Scalable Peer to Peer Architecture for Distributed Information Monitoring Applications", Submitted.
Shirley L. Xiong and Ling Liu. ``Building Trust in Decentralized Peer-to-Peer Electronic Communities". Proceedings of the Fifth International Conference on Electronic Commerce Research (ICECR-5), Montreal, Canada, October, 2002
Lakshmish Ramaswamy and Ling Liu. ``FreeRiding: A New Challenge for Peer-to-Peer File Sharing Systems". Technical Report GIT-CC-02-09, Georgia Institute of Technology, 2002.
Shiley L. Xiong and Ling Liu. ``PeerTrust: A Trust Mechanisam for an Open Peer-to-Peer Information System". Technical Report GIT-CC-02-29, Georgia Institute of Technology, 2002.
Bugra Gedik and Ling Liu. ``PeerCQ: A Scalable and Self-Configurable Peer-to-Peer Information Monitoring System", Technical Report GIT-CC-02-32, Georgia Institute of Technology, 2002.
Keke Chen and Ling Liu. ``Vista: Modeling and Labling Clusters of Large Multidimentional Datasets Efficiently". Technical Report GIT-CC-02-30, Georgia Institute of Technology, 2002.
Duncan Dubugras Ruiz, Ling Liu, Calton Pu. ``Distributed Workflow Restructuring: An Experimental Study", Technical Report GIT-CC-02-36, Georgia Institute of Technology, 2002.
Henrique Paques, Ling Liu, Calton Pu. ``Ginga: A Self-Adaptive Query Processing Service". Proceedings of ACM International Conference on Information and Knowledge Management (CIKM 2002).
Mustaque Ahamad, W. Lee, Ling Liu, Leo Mark. E. Omicienski, Calton Pu, A. dos Santos. ``Guarding the Next Internet Frontier: Countering Denial of Information Attack", Proceedings of the New Security Paradigm Workshop, September 2002.
Lakshmish Ramaswamy and Ling Liu. ``A New Document Placement Scheme for Cooperative Web Caching". Proceedings of the 22nd International Conference on. Distributed Computing Systems (ICDCS 2002). July 2-5, 2002 - Vienna, Austria (IEEE Press).
David Buttler, Matthew Coleman, Terence Critchlow, Renato Fileto, Wei Han, Ling Liu, Calton Pu, Daniel Rocco, Li Xiong: Querying Multiple Bioinformatics Data Sources: Can Semantic Web Research Help? SIGMOD Record. Dec. 2002. pp59-64
David Buttler, Ling Liu, Calton Pu. ``A fully automated object extract system for the Web". Proceeding of the 21st International Conference on Distributed Computing (ICDCS-21), April 16-19, 2001. Phoenix, Arizona, USA. IEEE Computer Society. (IEEE Press)
David Buttler, Ling Liu, Calton Pu and Henrique Paques. ``OminiSearch: A method for searching dynamic content on the Web". proceedings of ACM SIGMOD Conference, Santa Barbara, California, May 21-24, 2001

Acknowledgement: These publications were the research results produced from the projects that are supported in part by the National Science Foundation under IIS and CNS programs as well as grants from DARPA, DoE and industry such as IBM, Intel. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect those of the National Science Foundation and our industry sponsors.

Last updated Dec. 15, 2012 . lingliu@cc.gatech.edu >