A Partial List of Publications of Hongyuan Zha

2018

Learning Registered Point Processes from Idiosyncratic Observations. H. Xu, L. Carin and Hongyuan Zha. ICML, 2018.

Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation. L. Wang, W. Zhang, X. He and Hongyuan Zha. SIGKDD, 2018.

Decoupled Learning for Factorial Marked Temporal Point Processes. W. Wu, J. Yan, X. Yang and Hongyuan Zha. SIGKDD, 2018.

LinkNBed: Multi-Graph Representation Learning with Entity Linkage. R. Trivedi, B. Sisman, X. Dong, C. Faloutsos, J. Ma and Hongyuan Zha. ACL, 2018.

Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management. A. Gupta, M. Farajtabar, B. Dilkina and Hongyuan Zha. IJCAI-ECAI, 2018.

Learning Sequential Correlation for User Generated Textual Content Popularity Prediction. W. Wang, W. Zhang and Hongyuan Zha. IJCAI-ECAI, 2018.

Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning. X. Liu, J. Yan and Hongyuan Zha. IJCAI-ECAI, 2018.

Deep Mean Field Games for Learning Optimal Behavior Policy of Large Populations. J. Yang, X. Ye, R. Trivedi, H. Xu and Hongyuan Zha. ICLR, 2018 (oral presentation).

User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction. W. Zhang, W. Wang, J. Wang and Hongyuan Zha. WWW, 2018.

Sequential Recommendation with User Memory Networks. X. Chen, H. Xu, Y. Zhang, J. Tang, Y. Cao, Z. Qin and Hongyuan Zha. WSDM, 2018.

Tau-FPL: Tolerance-Constrained Learning in Linear Time. A. Zhang, N. Li, J. Pu, J. Wang, J. Yan and Hongyuan Zha. AAAI, 2018.

Learning Conditional Generative Models for Temporal Point Processes. S. Xiao, H. Xu, J. Yan, M. Farajtabar, X. Yang, L. Song, Hongyuan Zha. AAAI, 2018.

S.-N. Chow, X. Ye, Hongyuan Zha and H. Zhou. Influence Prediction for Continuous-Time Information Propagation on Networks. To appear in Networks and Heterogeneous Media, 2018.

2017

A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering. H. Xu, Hongyuan Zha. NIPS, 2017.

S. Xiao, M. Farajtabar, X. Ye, J. Yan, L. Song, Hongyuan Zha. Wasserstein Learning of Deep Generative Point Process Models. NIPS, 2017.

Y. Wang, X. Ye, Hongyuan Zha, and L. Song. Predicting User Activity Level in Point Processes with Mass Transport Equation. NIPS, 2017.

S. Guo, K. Xu, R. Zhao, D. Gotz, Hongyuan Zha, N. Cao. EventThread: Visual Summarization and Stage Analysis of Event Sequence Data. IEEE Transactions on Visualization and Computer Graphics (VAST), 2017.

H. Xu, D. Luo and Hongyuan Zha. Learning Hawkes Processes from Short Doubly-Censored Event Sequences. ICML, 2017.

M. Farajtabar, J. Yang, X. Ye, H. Xu, S. Li, R. Trivedi, E. Khalil, L. Song and Hongyuan Zha. Fake News Mitigation via Point Process Based Intervention. ICML, 2017.

S. A. Hosseini, K. Alizadeh, A. Khodadadi, A. Arabzadeh, M. Farajtabar, Hongyuan Zha and H. R. Rabiee. Recurrent poisson factorization for temporal recommendation. SIGKDD, 2017.

H. Xu, J. Yan, N. Persson, W. Lin and Hongyuan Zha. Fractal Dimension Invariant Filtering and Its CNN-based Implementation. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

Y. Wang, X. Ye, Hongyuan Zha, and L. Song. Linking Micro Event History to Macro Prediction for Point Process Models. The 20th Annual Conference on Artificial Intelligence and Statistics (AISTAT), 2017.

Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Hongyuan Zha and Ricardo Baeza-Yates. Exploring Query Auto-Completion and Click Logs for Contextual-Aware Web Search and Query Suggestion. WWW, 2017.

Xin Liu, Junchi Yan, Shuai Xiao, Xiangfeng Wang, Hongyuan Zha and Stephen Chu. On Predictive Patent Valuation: Forecasting Patent Citations and Their Types. AAAI, 2017.

Zhe Ren, Junchi Yan, Bingbing Ni, Bin Liu, Xiaokang Yang and Hongyuan Zha. Unsupervised deep learning for optical flowe stimation. AAAI, 2017.

Shuai Xiao, Junchi Yan, Xiaokang Yang, Hongyuan Zha and Stephen Chu. Modeling the Intensity Function of Point Process via Recurrent Neural Networks. AAAI,, 2017.

Dongsheng Li, Chao Chen, Qin Lv, Li Shang, Stephen Chu and Hongyuan Zha. ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems. AAAI, 2017.

Ali Zarezade, Ali Khodadadi, Mehrdad Farajtabar, Hamid R. Rabiee and Hongyuan Zha. Correlated Cascades: Competeor Cooperate. AAAI, 2017.

Changsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu and Hongyuan Zha. Self-Paced Multi-Task Learning. AAAI, 2017.

M. Farajtabar, Y. Wang, M. Gomez-Rodriguez, S. Li, Hongyuan Zha, L. Song. COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution. To appear in Journal of Machine Learning Research (JMLR), 2017.

H. Xu, W. Wu, S. Nemati and Hongyuan Zha. Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes. IEEE Transactions on Knowledge and Data Engineering, 29 (1), 157-171, 2017.

Q Fan, Z Wang, Hongyuan Zha, D Gao. MREKLM: A fast multiple empirical kernel learning machine. Pattern Recognition 61, 197-209, 2017.

Q Fan, Z Wang, D Li, D Gao, Hongyuan Zha. Entropy-based fuzzy support vector machine for imbalanced datasets. Knowledge-Based Systems 115, 87-99, 2017.

Z. Miao, K. Chen, Y. Fang, J. He, Y. Zhou, W. Zhang and Hongyuan Zha. Cost-effective Online Trending Topic Detection and Popularity Prediction in Microblogging. ACM Transactions on Information System, 2017.

Y. Zhu, Z. Wang, H. Zha and D. Gao. Boundary-Eliminated Pseudoinverse Linear Discriminant for Imbalanced Problems. IEEE Transactions on Neural Networks and Learning Systems, 2017.

C. Li, F. Wei, J. Yan, X. Zhang, Q. Liu and Hongyuan Zha. A Self-Paced Regularization Framework for Multilabel Learning. IEEE Transactions on Neural Networks and Learning Systems, 2017.

L. Lan, K. Zhang, H. Ge, W. Cheng, J. Liu, A. Rauber, X.L. Li, J. Wang and Hongyuan Zha. Low-rank decomposition meets kernel learning: A generalized Nystrom method. Artificial Intelligence, 250:1-15, 2017.

2016

M. Farajtabar, X. Ye, S. Harati, L. Song and Hongyuan Zha. Multistage Campaigning in Social Networks. NIPS, 2016.

H. Xu, M. Farajtabar and Hongyuan Zha. Learning Granger Causality for Hawkes Processes. ICML, 2016.

L. Li and Hongyuan Zha. Enhancing Energy Disaggregation through Household Structure Analysis via Hawkes Processes. IJCAI, 2016.

J. Yan, S. Xiao, C. Li, B. Jin, X. Wang, X. Yang and Hongyuan Zha. Modeling contagious M&A via point processes with a profile regression prior. IJCAI, 2016.

S. Xiao, J. Yan, C. Li, B. Jin, X. Wang, X. Yang and Hongyuan Zha. On modeling and predicting individual paper citation count over time. IJCAI, 2016.

L. Li, H. Deng, Y. He, A. Dong, Y. Chang and Hongyuan Zha. Behavior Driven Topic Transition for Search Task Identification. WWW, 2016.

Du, N., Liang, Y., Balcan, M., Rodriguez, M., Zha, Hongyuan, and Song, L. Scalable influence maximization for multiple products. Journal of Machine Learning Research (JMLR), 2016.

Rodriguez, M., Song, L., Du, N., Zha, Hongyuan, and Scholkopf, B. Influence estimation and maximization in continuous time diffusion networks. ACM Transactions on Information System, 2016.

D. Luo, H. Xu, B. Delkina, X. Yang, Hongyuan Zha and W. Zhang. Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints. IEEE Transactions on Knowledge and Data Engineering, 2016.

J. Yan, M. Cho, Hongyuan Zha, X. Yang and S. Chu. Multi-Graph Matching via Affinity Optimization with Graduated Consistency Regularization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016. code.

Y. Zhen, Y. Gao, D.-Y. Yeung, Hongyuan Zha, X. Li. Spectral Multimodal Hashing and Its Application to Multimedia Retrieval. IEEE Transactions on Cybernetics, Vol. 46, Issue 1, pp. 27-38, 2016.

2015

M. Farajtabar, Y. Wang, M. Gomez-Rodriguez, S. Li, Hongyuan Zha, L. Song. COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution. Neural Information Processing Systems (NIPS), 2015.

H. Xu, Y. Zhou, W. Lin and Hongyuan Zha. Unsupervised Trajectory Clustering via Adaptive Multi-Kernel-based Shrinkage. International Conference on Computer Vision (ICCV), 2015.

J. Yan, Hongyuan Zha and X. Yang. A Matrix Decomposition Perspective to Multiple Graph Matching. International Conference on Computer Vision (ICCV), 2015.

L. Li, H. Deng, A. Dong, Y. Chang, Hongyuan Zha, R. Baeza-Yates. Analyzing User’s Sequential Behavior in Query Auto-Completion via Markov Processes. ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2015.

J. Yan, Hongyuan Zha, X. Yang. Discrete Hyper-graph Matching. Computer Vision and Pattern Recognition (CVPR), 2015.

D. Luo, H. Xu, Y. Zhen, X. Ning, Hongyuan Zha. Multi-task Multi-dimensional Hawkes Processes for Modeling Event Sequences. International Joint Conferences on Artificial Intelligence (IJCAI). 2015.

H. Xu, Y. Zhen, Hongyuan Zha. Trailer Generation via A Point Process-based Visual Attractiveness Model. International Joint Conferences on Artificial Intelligence (IJCAI). 2015.

W. Shen, J. Wang, Y. Jiang, Hongyuan Zha. Portfolio Choices with Orthogonal Bandit Learning. International Joint Conferences on Artificial Intelligence (IJCAI). 2015.

M. Farajtabar, M. Gomez-Rodriguez, N. Du, M. Zamani, Hongyuan Zha, L. Song. Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades. The 19th International Conference on Artificial Intelligence and Statistics (AISTATS), 2015.

L. Tran, M. Farajtabar, L. Song, Hongyuan Zha. NetCodec: Community Detection from Individual Activities. SIAM Data Mining Conference. 2015.

Yi Zhen, Piyush Rai, Hongyuan Zha and Lawrence Carin. Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision. The Twenty-Ninth AAAI Conference on Artificial Intelligence. AAAI. 2015.

Junchi Yan, Jun Wang, Hongyuan Zha and Xiaokang Yang. Multi-View Point Registration via Alternating Optimization. The Twenty-Ninth AAAI Conference on Artificial Intelligence. AAAI. 2015.

Junchi Yan, Chao Zhang, Hongyuan Zha, Min Gong, Changhua Sun, Jin Huang, Stephen Chu and Xiaokang Yang. On machine learning towards predictive sales pipeline analytics. The Twenty-Ninth AAAI Conference on Artificial Intelligence. AAAI. 2015.

Hongteng Xu, Licheng Yu, Dixin Luo, Hongyuan Zha and Yi Xu. Dictionary Learning with Mutually Reinforcing Group-Graph Structures. The Twenty-Ninth AAAI Conference on Artificial Intelligence. AAAI. 2015.

Hongteng Xu, Hongyuan Zha, Mark Davenport and Ren-Cang Li. Active Manifold Learning via Gershgorin Circle Guided Sample Selection. The Twenty-Ninth AAAI Conference on Artificial Intelligence. AAAI. 2015.

Liangda Li and Hongyuan Zha. Explore Energy Usage Behavior Modeling in Energy Disaggregation via Marked Hawkes Process. The Twenty-Ninth AAAI Conference on Artificial Intelligence. AAAI. 2015.

Junchi Yan, Jun Wang, Hongyuan Zha, Xiaokang Yang and Stephen Chu. Consistency-driven Alternating Optimization for Multi-Graph Matching: a Unified Approach. IEEE Transactions on Image Processing, vol. 24: 994-1009, 2015.

Ya Zhang, Weiyuan Chen, Hongyuan Zha, Xiao Gu. A Time-Topic Coupled LDA Model for IPTV User Behaviors. IEEE Transactions on Broadcasting, vol. 60: 56-65, 2015.

2014

M. Farajtabar, N. Du, I. Valera, L. Song, M. Gomez Rodrigez, Hongyuan Zha. Shaping Social Activity by Incentivizing Users. NIPS, 2014.

L. Li, H. Deng, A. Dong, Y. Chang and Hongyuan Zha. Identifying and Labeling Search Tasks via Query-based Hawkes Processes. SIGKDD, 2014.

J. Yan, Hongyuan Zha, and X. Yang. Graduated Consistency-Regularized Optimization for Multi-Graph Matching. ECCV, 2014.

L. Li and Hongyuan Zha. Learning Parametric Models for Social Infectivity in Multi-dimensional Hawkes Processes. AAAI, 2014.

H. Xu, Hongyuan Zha, M. Davenpot. Manifold Based Dynamic Texture Synthesis from Extremely Few Samples. CVPR, 2014.

J. Choo, D. Lee, B. Dilkina, Hongyuan Zha, H. Park. To gather together for a better world: understanding and leveraging communities in micro-lending recommendation. WWW, 2014.

J. Choo, C. Lee, D. Lee, Hongyuan Zha, H. Park. Understanding and promoting micro-finance activities in Kiva.org. WSDM, 2014.

Z. Lu, X. Yang, W. Lin, Hongyuan Zha and X. Chen. Inferring User Image-Search Goals under the Implicit Guidance of Users. IEEE Transactions on Circuits and Systems for Video Technology, 24(3): 394-406, 2014.

K. Zhou, Hongyuan Zha, Y. Chang and G. Xue. Learning the Gain Values and Discount Factors of Discounted Cumulative Gains. IEEE Transactions on Knowledge Discovery and Data Engineering, 26(2): 391-404, 2014.

T. Perry, Hongyuan Zha, K. Zhou, P. Frias, D. Zeng and M. Braunstein. Supervised Embedding of Textual Predictors with Applications in Clinical Diagnostics for Pediatric Cardiology. Journal of American Medical Informatics Association, 21(e1):e136-42, 20143.

D. Luo, H. Xu, Hongyuan Zha, J. Du, R. Xie, X. Yang, W. Zhang. You Are What You Watch and When You Watch: Inferring Household Structures From IPTV Viewing Data, IEEE Transactions on Broadcasting Technology,60(1): 61-72, 2014.

2013

Du, N., Song, L., Zha, Hongyan, and Rodriguez, M., Scalable influence estimation in continuous time diffusion networks, Neural Information Processing Systems (NIPS), 2013. (Outstanding Paper Award)

H. Xu and Hongyuan Zha. Manifold based Image Synthesis from Sparse Samples. Proceedings of the 14th International Conference on Computer Vision (ICCV), 2013.

J. Yan, Y. Tian, Hongyuan Zha, X. Yang, Y. Zhang and S. M. Chu. Joint Optimization for Consistent Multiple Graph Matching. Proceedings of the 14th International Conference on Computer Vision (ICCV), 2013.

L. Li and Hongyuan Zha. Dyadic Event Attribution in Social Networks with Mixtures of Hawkes Processes. Proceedings of 22nd ACM International Conference on Information and Knowledge Management (CIKM), 2013. (Short Paper)

K. Zhou, Hongyuan Zha and L. Song. Learning Triggering Kernels for Multi-dimensional Hawkes Processes. Proceedings of the 30th International Conference on Machine Learning (ICML), 2013.

S. Yang and Hongyuan Zha. Mixture of Mutually Exciting Processes for Viral Diffusion. Proceedings of the 30th International Conference on Machine Learning (ICML), 2013.

J. Yan, Y. Wang, K. Zhou, J. Huang, C. Tian, Hongyuan Zha and W. Dong. Towards Effective Prioritizing Water Pipe Replacement and Rehabilitation. Proceedings of the 23rd. International Joint Conference on Artificial Intelligence (IJCAI), 2013.

K. Zhou, Hongyuan Zha and L. Song. Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes. Proceedings of the 16th International Conference on Artificial Intelligence and Statistics (AISTATS), 2013.

N. Du, L. Song and Hongyuan Zha. Uncover Topic-Sensitive Information Diffusion Networks. Proceedings of the 16th International Conference on Artificial Intelligence and Statistics (AISTATS), 2013.

M. Sun, F. Li, J. Lee, K. Zhou, G. Lebanon and Hongyuan Zha. Learning Multiple-Question Decision Trees for Cold-Start Recommendation. Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM) , 2013.

Z. Lu, Hongyuan Zha, X. Yang, W. Lin and Z. Zheng. A New Algorithm for Inferring User Search Goals with Feedback Sessions. IEEE Transactions on Knowledge Discovery and Data Engineering 25(3): 502-513, 2013.

2012

S.H. Yang, A. Smola, B. Long, Hongyuan Zha and Y. Chang. Friend or Frenemy? Predicting Signed Ties in Social Networks. SIGIR, 2012.

K. Zhou and Hongyuan Zha. Learning Binary Codes for Collaborative Filtering. SIGKDD, 2012.

Y. Tian, J. Yan, H. Zhang, Y. Zhang, X. Yang and Hongyuan Zha. On the Convergence of Graph Matching: Graduated Assignment Revisited. ECCV, 2012.

Z. Lu, X. Yang, W. Lin, X. Chen and Hongyuan Zha. Inferring User Image-Search Goals by Mining Query Logs with Semi-Supervised Spectral Clustering. VCIP, 2012.

K. Zhou, X. Li and Hongyuan Zha. Collaborative Ranking: Improving the Relevance for Tail Queries. CIKM, 2012. (short paper)

T. Perry, Hongyuan Zha, M. Oster, P. Frias and M. Braunstein. Utility of a Clinical Support Tool for Outpatient Evaluation of Pediatric Chest Pain. AMIA Annu. Symp. Proc., 726-33, 2012.

S. Crain, S. Yang and Hongyuan Zha. Understanding Group Dynamics in Health Forum. ASONAM, 2012.

S. Crain, K. Zhou and Hongyuan Zha. Recommendation in Online Health Communities. HI-BI-BI, 2012.

S. Crain, K. Zhou, S. Yang and Hongyuan Zha. Dimensionality Reduction and Topic Modeling: From Laten Semantic Indexing to Latent Dirichlet Allocation and Beyond. pp. 129-161, Mining Text Data, 2012.

W. Zhang, D. Wang, G. Xue and Hongyuan Zha. Advertising Keywords Recommendation for Short-text Web Pages using Wikipedia. ACM TIST, 2012.

Y. Chang, J. Bai, K. Zhou, G. Xue, Hongyuan Zha and Z. Zheng. Multi-task Learning to Rank for Web Search. Pattern Recognition Letter, 2012.

K. Zhou, J. Bai, Hongyuan Zha and G. Xue. Leveraging Auxiliary Data for Learning to rank. ACM TIST, 2012.

Z. Zhang, J. Wang and Hongyuan Zha. Adaptive Manifold Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 34, No. 2, pp. 253--265, 2012.

K. Guo, X. Yang, Hongyuan Zha, W. Lin and S. Yu. Multiscale Semilocal Interpolation with Antialiasing. IEEE Transactions on Image Processing, Vol. 21, No. 2, pp. 615--625, 2012.

2011

S.H. Yang, B. Long, A. Smola, Hongyuan Zha and Z. Zheng. Collaborative-competitive filtering: Learning recommender using context of user choice. SIGIR, 2011. (Best Student Paper Award)

K. Zhou, S.H. Yang and Hongyuan Zha. Functional matrix factorizations for cold-start recommendation. SIGIR, 2011.

Z. Lu, X. Yang, W. Lin, X. Chen and Hongyuan Zha. Inferring Users' Image-Search Goals with Pseudo-images. VCIP, 2011.

S.H. Yang, S. Crain and Hongyuan Zha. Bridging the language gap: topic-level adaptation for cross-domain knowledge transfer. AISTATS, 2011

S.H. Yang, B. Long, A. Smola, N.Sadagopan, Z. Zheng and Hongyuan Zha: Like like alike -- Joint friendship and interest propagation in social networks. WWW, 2011.

L. Li, K. Zhou, G. Xue, Hongyuan Zha, and Y. Yu. Video Summarization via Transferrable Structured Learning. WWW, 2011.

W. Zhang, D. Wang, G. Xue and Hongyuan Zha. Advertising Keywords Recommendation for Short-text Web Pages using Wikipedia. ACM Transactions on Intelligent Systems and Technology, 2011.

K. Zhou, J. Bai, Hongyuan Zha and G. Xue. Leveraging Auxiliary Data for Learning to Rank . ACM Transactions on Intelligent Systems and Technology, 2011.

Z. Lu, Hongyuan Zha, X. Yang, W. Lin and Z. Zheng. A New Algorithm for Inferring User Search Goals with Feedback Sessions. IEEE Transactions on Knowledge and Data Engineering, 2011.

X. Jiao, D. Wang and Hongyuan Zha. Simple and Effective Variational Optimization of Surface and Volume Triangulations. Engineering with Computers 27(1): 81-94, 2011. (Special Issue: 17th International Meshing Roundtable)

2010

S.H. Yang and Hongyuan Zha: Language Pyramid and Multi-Scale Text Analysis. CIKM, 2010.

Z. Kou, Z. Zheng, Y. Chang and Hongyuan Zha. Learning to Blend Rankings: a monotonic transformation to blend rankings from multiple domains. CIKM, 2010. (short paper).

S. Crain, S.H. Yang, Hongyaun Zha and Y. Jiao. Dialect Topic Modeling for Improved Consumer Medical Search. Annual Symposium of American Medical Informatics Association (AMIA 2010).

S.H. Yang, J. Bian and Hongyuan Zha. Hybrid Generative/Discriminative Learning for Automatic Image Annotation. UAI, 2010.

Jiang Bian, Xin Li, Fan Li, Zhaohui Zheng, Hongyuan Zha. Ranking Specialization for Web Search: A Divide-and-Conquer Approach by Using Topical RankSVM. Proceedings of the 19th International World Wide Web Conference, Raleigh, NC, US (WWW2010).

Anlei Dong, Ruiqiang Zhang, Pranam Kolari, Jing Bai, Fernando Diaz, Yi Chang, Zhaohui Zheng and Hongyuan Zha. Use Twitter Data for Recency Ranking Improvement in Web Search. Proceedings of the 19th International World Wide Web Conference, Raleigh, NC, US (WWW2010).

Jiang Bian, Tie-Yan Liu, Tao Qin and Hongyuan Zha. Ranking with Query-Dependent Loss for Web Search. Proceedings of the 3rd ACM International Conference on Web Search and Data Mining, New York City, US (WSDM2010).

2009

Hongyuan Zha and Zhenyue Zhang. Spectral Properties of the Alignment Matrices in Manifold Learning. SIAM Review, Vol. 51, Issue 3, pp. 545-566, 2009.

Eugene Agichtein, Evgeniy Gabrilovich, Hongyuan Zha: The Social Future of Web Search: Modeling, Exploiting, and Searching Collaboratively Generated Content. IEEE Data Eng. Bull. 32(2): 52-61, 2009.

Shuang-Hong Yang and Hongyuan Zha. Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora. NIPS, 2009.

Bo Xiao, Xiaokang Yang, Yi Xu and Hongyuan Zha. Learning Distance Metric for Regression by Semidefinite Programming with Application to Human Age Estimation. Proceedings of the ACM Multimedia Conference, 2009. Erratum. Code.

Jing Bai, Hongyuan Zha, Zhaohui Zheng, Ke Zhou, Belle Tseng, Yi Chang. Multi-Task Learning for Learning to Rank in Web Search. CIKM, 2009 (short paper).

Mingrui Wu, Hongyuan Zha, Zhaohui Zheng, Yi Chang. Smoothing DCG for Learning to Rank: A Novel Approach Using Smoothed Hinge Functions. CIKM, 2009 (short paper).

Kai Guo, Xiaokang Yang, Rui Zhang, Songyu Yu and Hongyuan Zha. Interpolating Fine Texturess with Fields of Experts Prior. Proceedings of the IEEE International Conference on Image Processing, 2009.

Shuang-Hong Yang, Hongyuan Zha, S. Kevin Zhou and Bao-Gang Hu. Variational Graph Embedding for Globally and Locally Consistent Feature Extraction. ECML/PKDD, 2009.

Shihao Ji, Hongyuan Zha, Ke Zhou, Ciya Liao, Zhaohui Zheng, Gui-Rong Xue, Gordon Sun and Olivier Chapelle. Global Ranking by Exploiting User Clicks. SIGIR, 2009.

Jiang Bian, Yandong Liu, Ding Zhou, Eugene Agichtein, Hongyuan Zha. Learning to Recognize Reliable Users and Content in Social Media with Coupled Mutual Reinforcement. Proceedings of the 18th International World Wide Web Conference, Madrid, Spain (WWW2009).

Liangda Li, Ke Zhou, Gui-Rong Xue, Hongyuan Zha and Yong Yu. Summarization through Structure Learning with Diversity, Coverage and Balance. Proceedings of the 18th International World Wide Web Conference, Madrid, Spain (WWW2009).

Congle Zhang, Gui-Rong Xue, Yong Yu and Hongyuan Zha. Web-scale classification with naive Bayes, Proceedings of the 18th International World Wide Web Conference, Madrid, Spain (WWW2009). (poster)

2008

Z. Zheng, Hongyuan Zha and G. Sun. Query-Level Learning to Rank Using Isotonic Regression. Proccedings of the 46th Annual Allerton Conference on Communication, Control and Computing, Allerton, IL, September 2008. (Invited paper).

A. Smith, X. Huo and Hongyuan Zha. Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Method. To appear in NIPS, 2008.

K. Zhou, G. Xue, Hongyuan Zha and Y. Yu. Learning to Rank with Ties. Proceedings of the 31st Annual International ACM SIGIR Conference on Research & Development on Information Retrieval (SIGIR 2008), July 20-24, 2008, Singapore.

qqqqJ. Bian, Y. Liu, E. Agichtein and Hongyuan Zha. A Few Bad Votes Too Many? Towards Robust Ranking in Social Media. The 4th International Workshop on Adversarial Information Retrieval on the Web, (AIRWeb 2008), 2008.

Z. Zhang, Hongyuan Zha, and M. Zhang. Spectral Methods for Semi-supervised Manifold Learning. CVPR, Anchorage, Alaska, 2008.

X. Jiao and Hongyuan Zha. Consistent computation of first- and second-order differential quantities for surface meshes. ACM Solid and Physical Modeling Symposium, 2008.

J. Bian, Y. Liu, E. Agichtein and Hongyuan Zha. Finding the Right Facts in the Crowd: Factoid Question Answering over Social Media. In Proceedings of the 17th International World Wide Web Conference (WWW 2008), Beijing, China, 2008.

D. Zhou, S. Zhu, K. Yu, X. Song, B. Tseng, Hongyuan Zha, C. L. Giles. Learning Multiple Graphs for Document Recommendations. In Proceedings of the 17th International World Wide Web Conference (WWW 2008), Beijing, China, 2008.

D. Zhou, S. Zheng, J. Bian, Hongyuan Zha, C. L. Giles. Exploring Social Annotations for Information Retrieval. In Proceedings of the 17th International World Wide Web Conference (WWW 2008), Beijing, China, 2008.

E. Chen, X. Yang, Hongyuan Zha, R. Zhang and W. Zhang. Learing Object Classes from Image Thumbnails through Deep Neural Networks. ICASSP, 2008.

2007

Z. Zheng, Hongyuan Zha, T. Zhang, O. Chapelle, K. Chen and G. Sun. A General Boosting Method and its Application to Learning Ranking Functions for Web Search. NIPS, 2007.

D. Zhou, I. Councill, Hongyuan Zha, C. L. Giles. Discovering Temporal Communities from Social Network Documents, 7th IEEE International Conference on Data Mining (ICDM 2007), Omaha, Nebraska, USA, 2007, published by IEEE.

D. Zhou, S. Orshanskiy, Hongyuan Zha, C. L. Giles. Co-Ranking Authors and Documents in a Heterogeneous Network, 7th IEEE International Conference on Data Mining (ICDM 2007), Omaha, Nebraska, USA, 2007.

J. Huang, X. Jiao, R. Fujimoto and Hongyuan Zha. DAG-Guided Parallel Asynchronous Variational Integrators with Super-Elements. Summer Computer Simulation Conference, 2007.

X. Jiao, N.R. Bayyana and Hongyuan Zha. Optimizing Surface Triangulation via Near Isometry with Reference Meshes. International Conference on Computational Science, 2007.

Z. Zheng, Hongyuan Zha, K. Chen and G. Sun. A Regression Framework for Learning Ranking Functions Using Relative Relevance Judgments. SIGIR, 2007.

B. Sun, P. Mitra, L. Giles, Hongyuan Zha and J. Yen. Topic Segmentation with Shared Topic Detection and Alignment of Multiple Documents. SIGIR, 2007.

X. Yang, S. Michea and Hongyuan Zha. Conical dimension as an intrisic dimension estimator. SIAM International Conference on Data Mining, 2007.

Y. Song, J. Huang, D. Zhou, Hongyuan Zha, C. L. Giles, IKNN: Informative K-Nearest Neighbor Classification. Proceedings of The 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2007), pp.248-264., Warsaw, Poland. September 2007.

J. Huang, S. Ertekin, Y. Song, Hongyuan Zha and C. L. Giles. Efficient Multiclass Boosting Classification with Active Learning. SIAM International Conference on Data Mining, 2007.

H. Kim, Hongyuan Zha and H. Park. Distance Preserving Dimension Reduction for Manifold Learning. SIAM International Conference on Data Mining, 2007 (poster).

Q. Ye, Hongyuan Zhang, R. Li. ANALYSIS OF AN ALIGNMENT ALGORITHM FOR NONLINEAR DIMENSIONALITY REDUCTION. BIT, 47: 873-885, 2007.

Z. Zhang, Hongyuan Zha and W. Ying. Fast Parallelizable Methods for Computing Invariant Subspaces of Hermitian Matrices. Journal of Computational Mathematics, 25:583-594, 2007.

Hongyuan Zha and Z. Zhang. Continuum ISOMAP for Manifold Learning. COMPUTATIONAL STATISTICS AND DATA ANALYSIS, 52:184--200, 2007.

2006

D. Zhou, L. Bolelli, J. Li, L. Giles, Hongyuan Zha, Learning User Clicks in Web Search. Proceedings of the 20th International Joint Conference on Artificial Intelligence , 2006 (IJCAI 2007).

Y. Song, D. Zhou, J. Huang, I. Councill, Hongyuan Zha, L. Giles, Boosting the Feature Space: Text Classification for Unstructured Data on the Web. Proceedings of the 2006 IEEE International Conference on Data Mining, 2006 (ICDM 2006).

D. Zhou, X. Ji, Hongyuan Zha, L. Giles, Topic Evolution and Social Interactions, Proceedings of the 15th ACM C onference on Information and Knowledge Management, 2006 (CIKM 2006).

B. Sun, D. Zhou, H. Zha, J. Yen, Multi-Task Text Segmentation and Alignment Based on Weighted Mutual Information, Proceedings of the 15th ACM Conference on Information and Knowledge Management, 2006 (CIKM 2006), Poster.

X. Yang, H. Fu, Hongyuan Zha and J. Barlow, Semi-Supervised Nonlinear Dimensionality Reduction, Proceedings of the 23rd International Conference on Machine Learning, (ICML 2006).

C. Ding, D. Zhou, X. He and Hongyuan Zha, R1-PCA: Rotational Invariant L1-norm Principal Component Analysis for Robust Subspace Factorization, Proceedings of the 23rd International Conference on Machine Learning, (ICML 2006).

Hongyuan Zha, Z. Zheng, H. Fu and G. Sun, Incorporating Query Difference for Learning Retrieval Functions in Information Retrieval, Proceedings of SIGIR, 2006 (poster).

D. Zhou, E. Manavoglu, J. Li, C. L. Giles and Hongyuan Zha, Probabilistic models for discovering E-communities, Proceedings of the International Conference on World Wide Web, Edinburgh, May 2006.

Y. Zhang, Hongyuan Zha, C. Chu, and X. Ji, Towards Inferring Protein Interactions: Challenges and Solutions, EURASIP Journal on Applied Signal Processing (Special issue on Advanced Signal/Image Processing Techniques for Bioinformatics), 2006.

Jia Li and Hongyuan Zha, Two-way Poisson mixture models for simultaneous document classification and word clustering, Computational Statistics and Data Analysis, 50(1):163-180, 2006.


Old papers