SAS Headquarters, S6085, 600 Research Drive,
Cary, NC 27513, U.S.A.
E-mail: zheng (DOT) zhao (AT) sas (DOT) com or zhaozheng (AT) asu (DOT) edu
I obtained my PhD. degree in May 2010 and joined the SAS Institute Inc. since July 2010.
ABOUT ME
I am a research statistician in SAS Institute Inc. since July 2010. Before joining SAS, I was doing my Ph.D. (2004 to 2010) in Computer Science and Engineering, Arizona State University (ASU) in Tempe, Arizona, supervised by Prof. Huan Liu and Prof. Jieping Ye. I obtained my M.Eng. and B.Eng. in Computer Science and Engineering from Harbin Institute of Technology (HIT), P. R. China.
RESEARCH INTERESTS
High-performance analytical methods for large scale data mining, text mining and dimensionality reduction.
- Spectral Feature Selection
- Parallel Dimensionality Reduction
- Large Scale Rule Based Text Categorization
- High Performance Analytics for Data Mining
NEWS
- Our book: Spectral Feature Selection for Data Mining will be published by CRC Press [CRC, AMAZON]
- Our paper: On Similarity Preserving Feature Selection is accepted by IEEE Transactions on Knowledge and Data engineering (TKDE).
- Our paper: Identification of NDRG1-regulated genes associated with invasive potential in cervical and ovarian cancer cells is accepted by Biochemical and Biophysical Research Communications [link].
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Our paper: Disruption of zebrafish (Danio rerio) reproduction upon chronic exposure to TiO2 nanoparticles is accepted by Chemosphere [link].
- Emma was born and became a new member of my family [pic].
Research Highlight
- Zheng Zhao and Huan Liu. Semi-supervised feature selection via spectral analysis. In Proceedings of SIAM International Conference on Data Mining (SDM), 2007. (36 citastions according to google scholar)
- 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. (63 citations according to google scholar)
- 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. (11 citations according to google scholar)
- 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
- 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. (11 citations according to google scholar)
- 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. (15 citations according to google scholar)
- 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.
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Jieping Ye, Zheng Zhao, and Mingrui Wu. Discriminative k-means for clustering. In Proceedings of 21th Advances in Neural Information Processing Systems (NIPS), 2007. (26 citations according to google scholar)
Awards
In the 2nd International Conference on Bioinformatics and Computational Biology (BICoB), 2010
Graduate Research Support Program, ASU, 2009-2010.
The School of Computing, Informatics, and Decision Systems Engineering, ASU, 2008.
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