Research Interests

I am a Ph.D. candidate in the Department of Computer Science and Engineering, Arizona State University, advised by Prof. Huan Liu and Prof. Jieping Ye . I also work closely with Prof. Chang Yung in the School of Life Science, CIDV, The Biodesign Institute. My research interests are in the areas of machine learning, data mining and bioinformatics.

Selected Publications

Jounal Articles

1. Zheng Zhao and Huan Liu. Searching for interacting features in subset selection. Intelligent Data Analysis, 13:207-228, 2009 [pdf]


2. Zheng Zhao and Huan Liu. Multi-source feature selection via geometry-dependent covariance analysis. Journal of Machine Learning Research, Workshop and Conference Proceedings Volume 4: New challenges for feature selection in data mining and knowledge discovery, 4:36-47, 2008. [pdf]


3. M. Berens, H. Liu, L. Parsons, L. Yu, and Z. Zhao. Fostering biological relevance in feature selection for microarray data, trends and controversies. IEEE Intelligent Systems, pages 29-32, 2005.


4. Yanqiu Deng, Gang Zhao, and Zheng Zhao. Expression of immediate early gene c-jun in rat with focal cerebral ischemic tolerance. Chinese Journal of Clinical Rehabilitation, 8(13):2474-2475, 2004.


5. Zheng Zhao, Xiaofei Xu, and Shengchun Deng. Materialized view selection using improved genetic algorithms. Journal of Computer Science and Technology, 29(8):139-142, 2002.

Book Chapters

1. Huan Liu and Zheng Zhao. Encyclopedia of Complexity and Systems Science, chapter Manipulating Data and Dimensionality Reduction Methods: Feature Selection, Forthcoming. Springer, 2009.


2. Zheng Zhao and Huan Liu. Encyclopedia of Data Warehousing and Mining, chapter On Interacting Features in Subset Selection, 1079-1084. Idea Group, Inc, 2008.


3. Sai Moturu, Lance Parsons, Zheng Zhao, and Huan Liu. Encyclopedia of Data Warehousing and Mining, chapter Integrative Data Analysis for Biological Discovery, page 1058-1065. Idea Group, Inc, 2008.

Conference Papers

1. Zheng Zhao, Liang Sun, Shipeng Yu, Huan Liu, and Jieping Ye. Multiclass probabilistic kernel discriminant analysis. In Proceedings of The 21th International Joint Conference on AI (IJCAI), 2009. [pdf]


2. Zheng Zhao, Jiangxin Wang, Shashvata Sharma, Nitin Agarwal, Huan Liu, and Yung Chang. A knowledge-oriented framework for gene selection. In 13th Annual International Conference on Research in Computational Molecular Biology (RECOMB), 2009. Poster.


3. Zheng Zhao, Huan Liu, Jiangxin Wang, and Yung Chang. Biological relevance detection via network dynamic analysis. In The 7th Georgia Tech- ORNL Conference on Bioinformatics - In silico Biology: Genome Biology and Bioinformatics, 2009. Poster.


4. Zheng Zhao, Jiangxin Wang, Huan Liu, Jieping Ye, and Yun Chang. Identifying biologically relevant genes via multiple heterogeneous data sources. In Proceedings of The 14th ACM SIGKDD International Conference On Knowledge Discovery and Data Mining (KDD), 2008.


5. Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng Zhao, Rinkal Patel, Min Bae, Ravi Janardan, Huan Liu, Gene Alex Ander, and E. Reiman. Heterogeneous data fusion for alzheimer's disease study. In Proceedings of The 14th ACM SIGKDD International Conference On Knowledge Discovery and Data Mining (KDD), 2008.


6. Zheng Zhao and Huan Liu. Semi-supervised feature selection via spectral analysis. In Proceedings of SIAM International Conference on Data Mining (SDM), 2007.


7. Zheng Zhao and Huan Liu. Spectral feature selection for supervised and unsupervised learning. In Proceedings of The 24th Annual International Conference on Machine Learning (ICML), 2007.


8. Zheng Zhao and Huan Liu. Searching for interacting features. In Proceedings of The 20th International Joint Conference on AI (IJCAI), January 2007.


9. Jieping Ye, Zheng Zhao, and Huan Liu. Adaptive distance metric learning for clustering. In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2007.


10. Jieping Ye, Zheng Zhao, and Mingrui Wu. Discriminative k-means for clustering. In Proceedings of 21th Advances in Neural Information Processing Systems (NIPS), 2007.


11. Jianhu Chen, Zheng Zhao, Jieping Ye, and Huan Liu. Nonlinear adaptive distance metric learning for clustering. In Proceedings of The 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2007.

Workshop Papers

1. Zheng Zhao, Jiangxin Wang, Shashvata Sharma, Nitin Agarwal, Huan Liu, and Yung Chang. Integrating knowledge in search of biologically relevant genes. In The 3rd International Workshop on Domain Driven Data Mining (DDDM), 2009.


2. Keshu Zhang, Kari Torkkola, Haifeng Li, Christopher Schreiner, Harry Zhang, Mike Gardner, and Zheng Zhao. A context aware automatic traffic notification system for cell phones. In Proceedings of The 7th International Workshop on Smart Appliances and Wearable Computing (IWSAWC'07), 2007.