Zhang Zhenjie Ph.D. Candidate Department of Computer Science School of Computing National University of Singapore Office: Computing1-01-07, Database and E-Commerce Lab Tel: 65-65164774 Email: zhangzh2@comp.nus.edu.sg

I received my B.S. from Department of Computer Science and Engineering , Fudan University in 2004. I am a Ph.D. student in the School of Computing, National University of Singapore. My PhD thesis is about clustering and unsupervised learning on uncertain data, advised by Prof. Anthony K. H. Tung. I have also worked on topics including skyline query, dominance analysis, spatial temporal indexing and data stream. My current research interests are focused on non-metric indexing, scalable manifold learning, cross-domain similarity search and game theory. Currently, I'm working as Research Assistant in the CoSpace Project, under supervision of Prof. Beng Chin Ooi.

Publications

• Zhenjie Zhang, Marios Hadjieleftheriou, Beng Chin Ooi, and Divesh Srivastava, "B^{ed}-Tree: An All-Purpose Tree Index for String Similarity Search on Edit Distance". to appear in SIGMOD 2010

• Ilaria Bartolini, Zhenjie Zhang, and Dimitris Papadias. "Collaborative Filtering with Personalized Skylines". to appear in IEEE Transaction on Knowledge and Data Engineering (TKDE).

• Ruichu Cai, Anthony K. H. Tung, Zhenjie Zhang, and Zhifeng Hao. "What is Unequal among the Equals? Ranking Equivalent Rules from Gene Expression Data". Technical Report TRA6-09, National University of Singapore.

• Zhenjie Zhang, Beng Chin Ooi, Srinivasan Parthasarathy, and Anthony K.H. Tung. "Similarity Search on Bregman Divergence: Towards Non-Metric Indexing". to appear in VLDB 2009. [Codes and Data][Slides]

• Meihui Zhang, Su Chen, Christian Jensen, Beng Chin Ooi and Zhenjie Zhang. "Effectively Indexing Uncertain Moving Objects for Predictive Queries". to appear in VLDB 2009.

• Zhenjie Zhang, Hua Lu, Beng Chin Ooi, and Anthony K.H. Tung. "Understanding the Meaning of A Shifted Sky: A General Framework on Extending Skyline Query". to appear in International Journal of Very Large Database (VLDBJ).

• Zhenjie Zhang, Yin Yang, Ruichu Cai, Dimitris Papadias and Anthony K.H. Tung. "Kernel-Based Skyline Cardinality Estimation". to appear in SIGMOD 2009. [Codes & Data][Slides]

• Zhenjie Zhang, Reynold Cheng, Dimitris Papadias and Anthony K.H. Tung. "Minimizing the Communication Cost for Continuous Skyline Maintenance". to appear in SIGMOD 2009. [Codes & Data][Slides]

• Zhenjie Zhang, Laks Lakshmanan and Anthony K.H. Tung. "On Domination Game Analysis for Microeconomic Data Mining". in ACM Transaction on Knowledge Discovery from Data (TKDD).

• Zhenjie Zhang, Bing Tian Dai and Anthony K.H. Tung. "Estimating Local Optimums in EM Algorithm over Gaussian Mixture Model ". in ICML 2008. [Technical Report][PPT]

• Zhenjie Zhang, Yin Yang, Dimitris Papadias and Anthony K.H. Tung. "Continuous K-Means Monitoring over Moving Objects ". in IEEE Transaction on Knowledge and Data Engineering (TKDE), Volume 20 Number 9.

• Shuqiao Guo, Zhiyong Huang, H.V. Jagadish, Beng Chin Ooi and Zhenjie Zhang. "Relaxed Space Bounding for Moving Objects: A Case for the Buddy Tree". in SIGMOD Record, Volume 35 Number 4.

• Zhenjie Zhang, Bing Tian Dai and Anthony K.H. Tung. "On the Lower Bound of Local Optimums in K-Means Algorithm". in ICDM 2006. [Codes][PPT]

• Chee-Yong Chan, H.V. Jagadish, Kian-Lee Tan, Anthony K.H. Tung and Zhenjie Zhang. "Finding k-Dominant Skylines in High Dimensional Spaces". in SIGMOD 2006.[PPT]

• Zhihong Chong, Jeffery Xu Yu, Zhenjie Zhang, Xuemin Lin, Wei Wang, Aoying Zhou. "Efficient Computation of k-Medians over Data Streams under Memory Constraints". in Journal of Computer Science and Technology (JCST), Volume 21 Number 2.

• Chee-Yong Chan, H.V. Jagadish, Kian-Lee Tan, Anthony K.H. Tung and Zhenjie Zhang. "On High Dimensional Skyline".in EDBT 2006.[PPT]

• Zhenjie Zhang, Xinyu Guo, Hua Lu, Anthony K.H. Tung, and Nan Wang. "Discovering Strong Skyline Points in High Dimensional Spaces".(Poster) in CIKM 2005.

• Jeffery Xu Yu, Zhihong Chong, Hongjun Lu, Zhenjie Zhang, and Aoying Zhou. "A False Negative Approach to Mining Frequent Itemsets from High Speed Transational Data Streams". in Information Sciences, Volume 176 Issue 15.

• Zhihong Chong, Jeffery Xu Yu, Hongjun Lu, Zhenjie Zhang, and Aoying Zhou. "False-Negative Frequent Ites Mining from Data Streams with Bursting ". in DASFAA 2005.

Research Talks

• Uncertain Data Clustering: Models, Methods and Applications Tutorials on COMAD 2008 and WAIM 2008, simplified talks at CUHK, HK PolyU, HKU, HKUST, SFU, UBC, UWaterloo, and UToronto [PPT]

• Domination Game: Where Data Mining Meets Game Theory talks at SFU, and UToronto [PPT]

Honours and Awards

• President's Graduate Fellowship in 2007
• Dean's Award in 2008

Professional Activities

• Program Comittee Member of SIGKDD 2010
• Program Comittee Member of VLDB 2010
• External Conference Reviewer for KDD 2006, VLDB 2006, WWW 2007, ICDE 2008, CIKM 2008, ICDE 2009
• Journal Reviewers for VLDB Journal, IEEE TKDE, JCST

Albums

2005 November, Germany

Witty Quotes

• The whole of science is nothing more than a refinement of everyday thinking.
  
• If we knew what it was we were doing, it would not be called research, would it?

Last updated on 30-Nov-2009