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Zhenjie Zhang

Zhenjie Zhang
Zhenjie Zhang
Senior Research Scientist
+65-6591-9087
 

Zhenjie Zhang is a Senior Research Scientist at ADSC. He received his Ph.D. in computer science from the School of Computing, National University of Singapore, in 2010. Before that, he graduated with a B.S. degree from the Department of Computer Science and Engineering, Fudan University, in 2004. He was visiting student at the Hong Kong University of Science and Technology in 2008 and a visiting student at AT&T Shannon Lab in 2009. Before joining the Advanced Digital Sciences Center in October 2010, he worked as a Research Assistant and Research Fellow at the National University of Singapore from 2008 to 2010. His research interests cover a variety of different topics, including clustering analysis, non-metric indexing, game theory, and data privacy. He has published more than 20 research papers in database and data mining venues, including SIGMOD, VLDB, and ICML. He has served as a Program Committee member for WWW 2010, VLDB 2010, KDD 2010, and APWeb 2011. He was the recipient of a President's Graduate Fellowship of Singapore in 2007.

Research Interests: clustering analysis, non-metric indexing, game theory, and data privacy

ADSC Projects:

Education: Ph.D. in computer science from the School of Computing, National University of Singapore, 2010

Experience: Before joining the Advanced Digital Sciences Center in October 2010, he worked as a Research Assistant and Research Fellow at the National University of Singapore from 2008 to 2010.

Publications and Patents:

  1. Ruichu Cai, Zhenjie Zhang, and Zhifeng Hao, "BASSUM: A Bayesian Semi-Supervised Method for Classification Feature Selection," to appear in Pattern Recognition.
  2. Su Chen, Beng Chin Ooi, and Zhenjie Zhang. "An Adaptive Updating Protocol for Reducing Moving Object Databases Workload," in VLDB 2010.
  3. Jia Xu, Zhenjie Zhang, Anthony K. H. Tung, and Ge Yu. "Efficient and Effective Similarity Search over Probabilistic Data Based on Earth Mover's Distance," in VLDB 2010.
  4. Hua Lu, Christian S. Jensen, and Zhenjie Zhang, "Flexible and Efficient Resolution of Skyline Query Size Constraints," to appear in the IEEE Transactions on Knowledge and Data Engineering (TKDE).
  5. Zhenjie Zhang, Marios Hadjieleftheriou, Beng Chin Ooi, and Divesh Srivastava. "Bed-Tree: An All-Purpose Tree Index for String Similarity Search on Edit Distance," in SIGMOD 2010.
  6. Ilaria Bartolini, Zhenjie Zhang, and Dimitris Papadias. "Collaborative Filtering with Personalized Skylines," to appear in the IEEE Transactions on Knowledge and Data Engineering (TKDE).
  7. Ruichu Cai, Anthony K. H. Tung, Zhenjie Zhang, and Zhifeng Hao. "What is Unequal among the Equals? Ranking Equivalent Rules from Gene Expression Data," to appear in the IEEE Transactions on Knowledge and Data Engineering (TKDE).
  8. Zhenjie Zhang, Beng Chin Ooi, Srinivasan Parthasarathy, and Anthony K.H. Tung. "Similarity Search on Bregman Divergence: Towards Non-Metric Indexing," in VLDB 2009.
  9. Meihui Zhang, Su Chen, Christian Jensen, Beng Chin Ooi, and Zhenjie Zhang. "Effectively Indexing Uncertain Moving Objects for Predictive Queries," in VLDB 2009.
  10. 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," in International Journal of Very Large Database (VLDBJ).
  11. Zhenjie Zhang, Yin Yang, Ruichu Cai, Dimitris Papadias, and Anthony K.H. Tung. "Kernel-Based Skyline Cardinality Estimation," in SIGMOD 2009.
  12. Zhenjie Zhang, Reynold Cheng, Dimitris Papadias, and Anthony K.H. Tung. "Minimizing the Communication Cost for Continuous Skyline Maintenance," in SIGMOD 2009.
  13. Zhenjie Zhang, Laks Lakshmanan, and Anthony K.H. Tung. "On Domination Game Analysis for Microeconomic Data Mining," in the ACM Transactions on Knowledge Discovery from Data (TKDD).
  14. Zhenjie Zhang, Bing Tian Dai, and Anthony K.H. Tung. "Estimating Local Optimums in EM Algorithm over Gaussian Mixture Model," in ICML 2008.
  15. Zhenjie Zhang, Yin Yang, Dimitris Papadias, and Anthony K.H. Tung. "Continuous K-Means Monitoring over Moving Objects," in the IEEE Transactions on Knowledge and Data Engineering (TKDE), Volume 20, Number 9.
  16. 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.
  17. Zhenjie Zhang, Bing Tian Dai, and Anthony K.H. Tung. "On the Lower Bound of Local Optimums in K-Means Algorithm," in ICDM 2006.
  18. 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.
  19. Zhihong Chong, Jeffery Xu Yu, Zhenjie Zhang, Xuemin Lin, Wei Wang, and 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.
  20. Chee-Yong Chan, H.V. Jagadish, Kian-Lee Tan, Anthony K.H. Tung, and Zhenjie Zhang. "On High Dimensional Skyline," in EDBT 2006.
  21. 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.
  22. 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.
  23. 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.

Tutorials:

  1. Z. Zhang and A. K. H. Tung, "Uncertain Data Clustering: Models, Methods and Applications," Tutorial at the 14th International Conference on Management of Data (COMAD), 2008.
  2. Z. Zhang and A. K. H. Tung, "Uncertain Data Clustering: Models, Methods and Applications," Tutorial at the 9th International Conference on Web-Age Information Management (WAIM), 2008.