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, Security and Privacy, and Cloud Computing

Publications
  • 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 (KDD'14). (full oral paper).

  • Yang Zhou, Sangeetha Seshadri, Lawrence Chiu and Ling Liu. GraphLens: Mining Enterprise Storage Workloads Using Graph Analytics. Proceedings of the 2014 IEEE International Congress on Big Data (BigData'14). (full paper).

  • 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 the 2014 IEEE International Conference on Cloud Computing (CLOUD'14). (full paper).

  • 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), 2014.

  • 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). (full oral paper).

  • 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). (full paper).

  • 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). (full paper).

  • 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). (full paper).

  • 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). (full paper).

  • 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), 25(3), 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), 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). (full paper).

  • 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. (full paper, citation = 226).

  • 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). (full paper, citation = 75).

  • Guo Ping, Zhou Yang and Jun Zhuang. Mining Maximal and Closed Frequent Free Subtrees. Dynamics of Continuous, Discrete and Impulsive Systems (DCDIS), 14b(5), 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, 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). (full paper).

  • 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). (full paper).

  • Guo Ping, Zhuang Jun, Zhou Yang, Zhou Jin and Cai Ri Xu. Mining Sequence Pattern of Router Logs. Computer Science, Vol.11, 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). (full paper).


Professional Services
  • Invited reviewer of IEEE Transactions on Dependable and Secure Computing (TDSC).
  • External reviewer of VLDB, ICDE, KDD, ICDM, PAKDD, ICDCS, WISE, IDEAS, ACML, Computational Intelligence.

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.

Projects
  • AEClass: Activity-edge Centric Multi-label Classification for Mining Heterogeneous Information Networks. Georgia Institute of Technology, 2013.

  • 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

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