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.

I am looking for academic and research lab positions starting in Fall 2016.


Research Interests
Big Data Analytics, Data Mining, Databases, Machine Learning, Parallel and Distributed Computing, Security and Privacy, Information Retrieval

Professional Services
  • Invited reviewer of ACM Transactions on Internet Technology (TOIT).
  • Invited reviewer of ACM Transactions on Knowledge Discovery from Data (TKDD).
  • Invited reviewer of ACM Transactions on the Web (TWEB).
  • Invited reviewer of IEEE Transactions on Dependable and Secure Computing (TDSC).
  • Invited reviewer of IEEE Transactions on Services Computing (TSC).
  • Invited reviewer of Computational Intelligence.
  • Invited reviewer of Data Mining and Knowledge Discovery (DMKD).
  • Invited reviewer of Journal of Parallel and Distributed Computing (JPDC).
  • Invited reviewer of Machine Learning.
  • External reviewer of KDD, ICDM, PAKDD, VLDB, ICDE, EDBT, ICDCS, WISE, IDEAS, ACML.

Awards
  • VLDB Ram Kumar Fellowship, 2015.
  • VLDB Intel Free Registration, 2015.
  • KDD Student Travel Award, 2015.
  • Georgia Tech Graduate Student Travel Award, 2014.
  • Winner of Invention Day Patent Marathon, IBM Almaden Research Center, 2013.
  • First Patent Application Invention Achievement Award, IBM, 2013.
  • ICWS Student Travel Award, 2013.
  • ICDM Student Travel Award, 2010.

Selected Publications (DBLP) (Google Scholar) (ResearchGate) (Full List)
  • Yang Zhou, Ling Liu, Sangeetha Seshadri and Lawrence Chiu. Analyzing Enterprise Storage Workloads with Graph Modeling and Clustering. To appear in JSAC 2016, Special Issue on Emerging Technologies in Communications.

  • Yang Zhou, Ling Liu, Kisung Lee and Qi Zhang. GraphTwist: Fast Iterative Graph Computation with Two-tier Optimizations. VLDB 2015. (full paper).

  • Yang Zhou, Ling Liu and David Buttler. Integrating Vertex-centric Clustering with Edge-centric Clustering for Meta Path Graph Analysis. KDD 2015. (full paper).

  • Yang Zhou and Ling Liu. Social Influence Based Clustering and Optimization over Heterogeneous Information Networks. TKDD 2015.

  • Yang Zhou, Ling Liu, Kisung Lee, Calton Pu and Qi Zhang. Fast Iterative Graph Computation with Resource Aware Graph Parallel Abstractions. HPDC 2015. (one of only 19 full papers).

  • Yang Zhou and Ling Liu. Activity-edge Centric Multi-label Classification for Mining Heterogeneous Information Networks. KDD 2014. (full paper).

  • Yang Zhou and Ling Liu. Social Influence Based Clustering of Heterogeneous Information Networks. KDD 2013. (full paper).

  • 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.

  • Yang Zhou, Hong Cheng and Jeffrey Xu Yu. Clustering Large Attributed Graphs: An Efficient Incremental Approach. ICDM 2010. (full paper).

  • Yang Zhou, Hong Cheng and Jeffrey Xu Yu. Graph Clustering Based on Structural/Attribute Similarities. VLDB 2009. (full paper).


Patents
  • Interactive Acquisition of Remote Services, US Patent: 20,140,337,010.
  • Complex Service Network Ranking and Clustering, Filed: YOR820120950.

Courses

Links