Book

1. Zheng Zhao, Huan Liu. Spectral Feature Selection for Data Mining. CRC Press, Dec 2011. [CRC, AMAZON]

Jounal Articles

1. Zheng Zhao, Lei Wang, Huan Liu, and Jieping Ye. On similarity preserving feature selection. IEEE Transactions on Knowledge and Data Engineering, to appear 2011.


2. Gang Zhao, Jiawei Chen, Yanqiu Deng, Feng Gao, Jiwei Zhu, Zhenzhong Feng, Xiuhong Lv, Zheng Zhao. Identification of NDRG1-regulated genes associated with invasive potential in cervical and ovarian cancer cells. Biochemical and Biophysical Research Communications, 408(1), Pages 154-159, 2011. [link]


3. Jiangxin Wang, Xiaoshan Zhu, Xuezhi Zhang, Zheng Zhao, Huan Liu, Rajani George, Jeanne Wilson-Rawls, Yung Chang, and Yongsheng Chen. Disruption of zebrafish (Danio rerio) reproduction upon chronic exposure to TiO2 nanoparticles. Chemosphere, 83(4), page 461-7, 2011. [link]


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


5. 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. [PDF]


6. 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. [link]


7. 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. [link]

Book Chapters

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


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. [link]


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. [link]

Conference Papers

1. Zheng Zhao, Lei Wang, and Huan Liu. Efficient Spectral Feature Selection with Minimum Redundancy. In Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2010 . [PDF, Supplementary]


2. Zheng Zhao, Jiangxin Wang, Shashvata Sharma, Nitin Agarwal, Huan Liu, and Yung Chang. An Integrative Approach to Identifying Biologically Relevant Genes. In Proceedings of SIAM International Conference on Data Mining (SDM), 2010. [PDF]


3. Zheng Zhao, JiangxinWang, Huan Liu, and Yung Chang. Biological relevance detection via network dynamic analysis. In Proceedings of 2nd International Conference on Bioinformatics and Computational Biology (BICoB), 2010. BEST PAPER AWARD [PDF]


4. 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]


5. 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].


6. 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].


7. 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.[PDF]


8. 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. [PDF]


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


10. 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. [PDF]


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


12. 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. [PDF]


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


14. 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. [PDF]


15. He Zengyou, Deng ShengChun, Xiaofei Xu, and Zhao Zheng. Induction of Global Rules Considering Schema Conflicts in Multidatabase System”, in the proceedings of 19th National Conference on Databases (NDBC), 2001.

Workshop Papers

1. Salem Alelyani, Zheng Zhao, and Huan Liu. A Dilemma in Assessing Stability of Feature Selection Algorithms. In the 13th International Workshop on Future Trends of Distributed Computing Systems (FTDCS 2011), 2011.


2. Huan Liu, Hiroshi Motoda, Rudy Setiono, and Zheng Zhao. Feature Selection: An Ever Evolving Frontier in Data Mining, Journal of Machine Learning Research, Workshop and Conference Proceedings Volume 10, 10:4-13, 2010.[PDF]


3. 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. [link]


4. 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]


5. 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. [link]

Invited Talk

1. Large Scale Spectral Feature Selection [slides]

School of Computing, Informatics and Decision Systems Engineering, Arizona State University, 2011.