Balaji Palanisamy, Ling Liu, Kisung Lee, Shicong Meng,
Yuzhe Tang and Yang Zhou. Anonymizing Continuous Queries with Delay-tolerant
Mix-zones over Road Networks. Distributed and Parallel Databases (DAPD), 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), Pages 338-346, Chicago, IL, August 11-14, 2013.
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
Zhiyuan Su, Ling Liu, Mingchu Li, Xinxin Fan and
Yang Zhou. ServiceTrust: Trust Management in Service Provision Networks.
Proceedings of the 10th IEEE International Conference on Services Computing (SCC'13),
Santa Clara, CA, June 27-July 2, 2013.
Qi Zhang, Ling Liu, Yi Ren, Kisung Lee, Yuzhe Tang,
Xu Zhao and Yang Zhou. Residency Aware Inter-VM Communication in Virtualized
Cloud-Performance Measurement and Analysis. Proceedings of the 2013 IEEE International
Conference on Cloud Computing (CLOUD'13), Santa Clara, CA, June 27-July
Kisung Lee, Ling Liu, Yuzhe Tang, Qi
Zhang and Yang Zhou. Efficient and Customizable Data Partitioning
Framework for Distributed Big RDF Data Processing in the Cloud. Proceedings
of the 2013 IEEE International Conference on Cloud Computing (CLOUD'13),
Santa Clara, CA, June 27-July 2, 2013.
Hong Cheng, Yang Zhou, Xin Huang and Jeffrey
Xu Yu. Clustering Large Attributed Information Networks: An Efficient
Incremental Computing Approach. Data Mining and Knowledge Discovery (DMKD),
Vol. 25, Issue 3, Pages 450-477, 2012.
Yang Zhou and Ling Liu. Data
Mining: Foundations and Intelligent Paradigms: Volume 1: Clustering,
Association and Classification.
Intelligent Systems Reference Library. Dawn E. Holmes and Lakhmi C. Jain.
Hong Cheng, Yang Zhou and Jeffrey Xu Yu.
Clustering Large Attributed Graphs: A Balance Between Structural and
Attribute Similarities. ACM Transactions on Knowledge Discovery from Data (TKDD),
5(2), Article 12, Pages 1-33, February 2011.
Yang Zhou, Hong Cheng and
Jeffrey Xu Yu. Clustering Large Attributed Graphs: An Efficient Incremental
Approach. Proceedings of the 10th IEEE International Conference on Data
Mining (ICDM'10), Pages 689-698, Sydney, Australia, Dec. 2010.
Yang Zhou, Hong Cheng and Jeffrey Xu Yu.
Graph Clustering Based on Structural/Attribute Similarities. Proceedings
of the 35th International Conference on Very Large Data Bases (VLDB'09)/PVLDB
Journal, Pages 718-729, Lyon, France, Aug. 2009.
Hong Cheng, David Lo, Yang Zhou, Xiaoyin Wang
and Xifeng Yan. Identifying Bug Signatures Using Discriminative Graph
Mining. Proceedings of the 18th International Symposium on Software Testing
and Analysis (ISSTA'09), Pages 141-152, Chicago, IL, July 2009.
Guo Ping, Zhou Yang and Jun Zhuang. Mining
Maximal and Closed Frequent Free Subtrees. Dynamics of Continuous, Discrete
and Impulsive Systems (DCDIS), Volume 14b,
Number 5, 198-205, University of Waterloo, Canada, 2007.
Yang Zhou and Feng Wang. FSM-A Novel Frequent
Subgraph Mining Algorithm Based on Subgraph and Structure Isomorphism.
Journal of Computer Research and Development (JCRD), Vol.44, Suppl. 296-301, 2007.
Ping Guo, Yang Zhou, Jun Zhuang, Ting Chen and
Yan-Rong Kang. An Efficient Algorithm for Mining both Closed and Maximal
Frequent Free Subtrees Using Canonical Forms. Proceedings of the
International Conference on Advanced Data Mining and Applications (ADMA'05),
96-107, Jul. 2005.
Ping Guo, Ting Chen, Yang Zhou and Gang Li.
Adaptive Ants Clustering Algorithm Miming Correlative Page Set. Proceedings
of the 11th Joint International Computer Conference (JICC'05).
Guo Ping, Zhuang Jun, Zhou Yang, Zhou Jin and
Cai Ri Xu. Mining Sequence Pattern of Router Logs. Computer Science, Vol.11,
Ping Guo, Yang Zhou and Jun Zhuang. Mining
both Closed and Maximal Frequent Free Subtrees. Proceedings of the 2004
International Symposium on Computational Intelligence and Industrial
Application (ISCIIA'04), 220-226, Dec. 2004.