Yang Zhou

College of Computing
Georgia Institute of Technology

3012, Klaus Advanced Computing Building
266 Ferst Drive
Atlanta, GA 30332-0765

Email: yzhou@gatech.edu


Biography

I am currently a Ph.D. student in the College of Computing at the Georgia Institute of Technology, under the supervision of Prof. Ling Liu.


Research Interests
  • Social Network Analysis, Graph System, Database and Cloud Computing

Publications
  • 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), Pages 26-33, Santa Clara, CA, June 27-July 2, 2013.

  • 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), Pages 272-279, Santa Clara, CA, June 27-July 2, 2013.

  • 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), Pages 327-334, 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), Pages 204-211, 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. Springer, 2011.

  • 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, 179-181, 2005.

  • 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.


Projects
  • GraphLens: Understanding Enterprise Storage Workloads Using Graph Analytics. IBM Almaden Research Center, San Jose, CA, 2013.

  • SAS-Ranking: Structure and Attribute Ranking of RDF Services by Service Provisioning Similarity. IBM T.J. Watson Research Center, Hawthorne, NY, 2012.

  • Cloud Services Marketplace. IBM T.J. Watson Research Center, Hawthorne, NY, 2012.

  • SI-Cluster: Social Influence Based Clustering of Heterogeneous Information Networks. Georgia Institute of Technology, 2012.

  • Inc-Cluster: Clustering Large Attributed Graphs: An Efficient Incremental Approach. Chinese University of Hong Kong, 2010.

  • SA-Cluster: Graph Clustering Based on Structural/Attribute Similarities. Chinese University of Hong Kong, 2009.


Patents
  • YOR820120950. System and Method for Complex Service Network Ranking and Clustering
  • YOR820120928. Interactive Acquisition of Remote Services

Awards
  • Winner of Invention Day Patent Marathon, IBM Almaden Research Center, 2013.
  • First Patent Application Invention Achievement Award, IBM, 2013.
  • ICWS Student Travel Awards, 2013.
  • ICDM Student Travel Awards, 2010.

Courses
  • CS 4440 Emerging Database Technologies
  • CS 6210 Advanced Operating Systems
  • CS 6340 Software Analysis and Testing
  • CS 6400 Database Systems Concepts and Design
  • CS 6520 Computational Complexity
  • CS 7001 Introduction to Graduate Studies
  • CS 7999 CS PhD Qualifier Exam
  • CSE 6240 Web Search and Text Mining
  • ISYE6661 Linear Optimization
  • ISYE6663 Nonlinear Optimization

Links