About Me
Ze Tian was a PhD student at Department of Computer Science and Engineering,
University of Minnesota. His research interests involve machine learning and
data mining. He is currently working at Microsoft.
Research Interest
| Machine Learning: |
SVM, kernel methods and graph-based learning algorithms |
| Data Mining: |
Supervised pattern mining algorithms |
Educational Background
- Ph.D., Computer Science, Department
of Computer Science and Engineering, University
of Minnesota, Minneapolis, USA, 2007 ~ 2012
Advisor: Dr. Rui Kuang
Thesis: Learning with Kernels and Graphs to Understand Cancer DNA Copy Number
Variations
- M.S., Computer Science,
Department
of Computer Science and Technology,
Nankai University, Tianjin,
China, 2004 ~ 2007
Thesis: Threshold Cryptography in Mobile Ad Hoc Networks
- B.S., Mathematics and Applied Mathematics,
Department of Mathematics,
Nankai University, Tianjin,
China, 2000 ~ 2004
Thesis: Vector Bundles and the Covering Homotopy Theorem
Publication
- Ze Tian, Huanan Zhang and Rui Kuang. Sparse Group Selection
on Fused Lasso Components for Identifying Group-specific DNA Copy Number
Variations. IEEE International Conference on Data Mining (ICDM),
2012. (Recipient of the BEST STUDENT PAPER Award)
- Ze Tian and Rui Kuang, Global Linear Neighborhoods
for Efficient Label Propagation, Proceedings of the Twelfth SIAM International
Conference on Data Mining (SDM),
2012. [PDF]
- Ze Tian and Rui Kuang, Integrative Classification and
Analysis of Multiple ArrayCGH Datasets with Probe Alignment,
Bioinformatics,
26(18):2313-2320, 2010. [PDF]
- Rohit Gupta, Smita Agrawal, Navneet Rao, Ze Tian, Rui
Kuang and Vipin Kumar, Integrative Biomarker Discovery for Breast Cancer
Metastasis from Gene Expression and Protein Interaction Data Using Error-tolerant
Pattern Mining, Proceedings of 2nd International Conference on Bioinformatics
and Computational Biology (BICoB),
2010.
- Ze Tian, TaeHyun Hwang and Rui Kuang, A Hypergraph-based
Learning Algorithm for Classifying Gene Expression and ArrayCGH Data with
Prior Knowledge, Bioinformatics,
25(21):2831-2838, 2009. [PDF]
- Ze Tian, TaeHyun Hwang and Rui Kuang, A Hypergraph-based
Learning Algorithm for Classifying Arraycgh Data with Spatial Prior, Proceedings
of IEEE International Workshop on Genomic Signal Processing and Statistics
(GENSIPS), 2009. [PDF]
- TaeHyun Hwang, Ze Tian, Rui Kuang and Jean-Pierre Kocher,
Learning on Weighted Hypergraphs to Integrate Protein Interactions and Gene
Expressions for Cancer Outcome Prediction, Proceedings of the Eighth IEEE
International Conference on Data Mining (ICDM),
2008. [PDF]
- TaeHyun Hwang, Hugues Sicotte, Ze Tian, Baolin Wu,
Jean-Pierre Kocher, Dennis A. Wigle, Vipin Kumar and Rui Kuang, Robust and
Efficient Identification of Biomarkers by Classifying Features on Graphs,
Bioinformatics,
24(18):2023-2029, 2008. [PDF]
Teaching
- Discrete Structures of Computer Science (CSCI 2011)
- Advanced Algorithms and Data Structures (CSCI 5421)
- Machine Learning (CSCI 5525)
Internship
Programming Skills
Proficient in C/C++, VC++, Java, TCP/IP, MATLAB
Familiar with .NET, C#, Perl, Mathematica, R
