Data Computer Science

Resume ZHENG ZHAO

SAS Headquarters, S****, *** Research Drive, Cary, NC, 27513, USA

Voice: 919-***-**** Fax: 919-***-**** E-mail: *****.****@***.***

Career Interests: Statistical Predictive Modeling, Machine Learning, Data Mining, High Performance Computing, Da-

tabase and Data Warehousing, Knowledge and Data Integration

Education:

(Aug-2004 July-2010) Ph.D., Computer Science and Engineering

Arizona State University, Tempe, AZ, USA.,

Thesis topic: Handling Data of Extremely High Dimensionality in Data Mining

Area of Study: Data Mining, Machine Learning

(Sept-1996 Jun-2002) M.S., B.S. Computer Science and Technology

Harbin Institute of Technology, Harbin, Heilong Jiang, China,

Area of Study: Relational Database System

Research Interests:

Data mining and machine learning

Dimension reduction, feature selection

Text mining, bioinformatics

High performance parallel processing

Awards:

Best Paper Award: Biological relevance detection via network dynamic analysis

In the 2nd International Conference on Bioinformatics and Computational Biology (BICoB), 2010

Graduate & Professional Student Association (GPSA) Research Grant Award,

Graduate Research Support Program, ASU, 2009-2010.

Outstanding PhD Student,

The School of Computing, Informatics, and Decision Systems Engineering, ASU, 2008.

Work Experience:

Research Statistician, SAS Institute, Inc. NC, USA, July 2010 present

Responsibility: Developing SAS Procedures for large scale data mining and text mining

Software Engineer, Core R&D Dept. of Alcatel Shanghai Bell (ASB), Shanghai, China. 2002-2004.

Responsibility: Maintain the software control component of the telephone exchange system A1000 S12 CDMA.

Professional Services

Co-chair for the fourth international workshop on feature selection in data mining (FSDM 2010). Hyderabad, India,

21-24 June, 2010

Program committee member of the 24th AAAI conference on artificial intelligence (AAAI 2010) AIW Track. Atlanta,

Georgia, USA, July 11 15, 2010.

Program committee member of the 22nd International Joint Conferences on Artificial Intelligence (IJCAI 2011).

Barcelona, Spain, 16-22, July, 2011

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RESUME Zheng Zhao

Journal paper review: Bioinformatics (BIOINF), Data Mining and Knowledge Discovery (DMKD), Data &

Knowledge Engineering (DKE), International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI),

Journal of Machine Learning (JMLR), Pattern Recognition (PR), Applied Intelligence (APIN), Information Fusion (IF),

International Journal of Functional Informatics and Personalized Medicine (IJFIPM), Transactions on Knowledge

and Data Engineering (TKDE), Information Sciences (INS), Neurocomputing (NEUCOM)

Conference paper review: International Conference on Web-Age Information Management (WAIM), AAAI Con-

ference on Artificial Intelligence (AAAI), ACM SIGKDD International Conference on Knowledge Discovery & Data

Mining (KDD), European Conference on Computer Vision (ECCV), Workshop on Feature Selection in Data Mining

(FSDM), International Joint Conferences on Artificial Intelligence (IJCAI)

Publication

Book

1. Zheng Zhao, Huan Liu. Spectral Feature Selection for Data Mining. CRC Press, January 2012.

Book Chapters

2. Huan Liu and Zheng Zhao. Encyclopedia of Complexity and Systems Science, chapter Manipulating Data and Di-

mensionality Reduction Methods: Feature Selection, 5348-5359. Springer, 2009.

3. Zheng Zhao and Huan Liu. Encyclopedia of Data Warehousing and Mining, chapter Interacting Features in Subset

Selection, 1079-1084. Idea Group, Inc, 2008.

4. 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.

Thesis and Dissertation

5. Zheng Zhao. Spectral feature selection for mining ultrahigh dimensional data, Doctoral Dissertation, Arizona

State University, 2010.

6. Zheng Zhao. Algorithms for materialized view design in data warehousing environment. Master s Thesis, Harbin

Institute of Technology, 2002.

Proceeding Edited

7. Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao. Proceedings of the Fourth International Workshop on Fea-

ture Selection in Data Mining, JMLR Workshop and Conference Proceedings Volume 10, 2010

Journal Articles

8. Zheng Zhao, Lei Wang, Huan Liu, and Jieping Ye. On similarity preserving feature selection. IEEE Transactions on

Knowledge and Data Engineering, to appear 2011.

9. Gang Zhao, Jiawei Chen, Yanqiu Deng, Feng Gao, Jiwei Zhu, Zhenzhong Feng, Xiuhong Lv, Zheng Zhao. Identifica-

tion of NDRG1-regulated genes associated with invasive potential in cervical and ovarian cancer cells. Biochemi-

cal and Biophysical Research Communications, 408(1), Pages 154-159, 2011.

10. 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 TiO

nanoparticles. Chemosphere, 83(4), page 461-7, 2011.

11. Zheng Zhao and Huan Liu. Searching for interacting features in subset selection. Intelligent Data Analysis (IDA),

13:207-228, 2009.

12. Huan Liu, Edward R. Dougherty, Jennifer G. Dy, Kari Torkkola, Hanchuan Peng, Fuhui Long, Michael Berens, Lance

Parsons, Zheng Zhao, Lei Yu, and George Forman. Evolving feature selection. IEEE Intelligent Systems, pages 64-

76, 2005.

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RESUME Zheng Zhao

13. Ni min, Xiaofei Xu, Deng Shengchun, Zhao Zheng. Freq_Apriori: An Association Rule Mining Algorithm Based on

Frequent Itempair Support Matrix, Journal of Mini-Micro Systems, Vol. 25, 1-4, 2004.

14. 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.

15. Deng Yanqiu, Chen Yingzhun, and Zhao Zheng. The study on the apoptosis-related protein dynamic expression

after focal cerebral ischemic preconditioning. Chinese Journal of experiment surgery. 21(5):636-8, 2004.

16. 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.

Conference Papers

17. Zheng Zhao, Lei Wang, and Huan Liu. Efficient Spectral Feature Selection with Minimum Redundancy. In Pro-

ceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2010

18. Zheng Zhao, Jiangxin Wang, Shashvata Sharma, Nitin Agarwal, Huan Liu, and Yung Chang. An Integrative Ap-

proach to Identifying Biologically Relevant Genes. In Proceedings of SIAM International Conference on Data Min-

ing (SDM), 2010.

19. Zheng Zhao, JiangxinWang, Huan Liu, and Yung Chang. Biological relevance detection via network dynamic anal-

ysis. In Proceedings of the 2nd International Conference on Bioinformatics and Computational Biology (BICoB),

2010. (was granted the best paper award)

20. 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.

21. 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.

22. Zheng Zhao, Jiangxin Wang, Huan Liu, Jieping Ye, and Yun Chang. Identifying biologically relevant genes via mul-

tiple heterogeneous data sources. In Proceedings of The 14th ACM SIGKDD International Conference On

Knowledge Discovery and Data Mining (KDD), 2008.

23. 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

International Conference On Knowledge Discovery and Data Mining (KDD), 2008.

24. Zheng Zhao and Huan Liu. Semi-supervised feature selection via spectral analysis. In Proceedings of SIAM Inter-

national Conference on Data Mining (SDM), 2007.

25. 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.

26. Zheng Zhao and Huan Liu. Searching for interacting features. In Proceedings of the 20th International Joint Con-

ference on AI (IJCAI), January 2007.

27. 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.

28. Jieping Ye, Zheng Zhao, and Mingrui Wu. Discriminative k-means for clustering. In Proceedings of 21th Advances

in Neural Information Processing Systems (NIPS), 2007.

29. Jianhu Chen, Zheng Zhao, Jieping Ye, and Huan Liu. Nonlinear adaptive distance metric learning for clustering. In

Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2007.

30. He Zengyou, Deng ShengChun, Xiaofei Xu, and Zhao Zheng. Induction of Global Rules Considering Schema Con-

flicts in Multidatabase System, in the proceedings of 19th National Conference on Databases (NDBC), 2001.

Workshop Papers

31. 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.

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RESUME Zheng Zhao

32. Huan Liu, Hiroshi Motoda, Rudy Setiono, and Zheng Zhao. Feature Selection: An Ever Evolving Frontier in Data

Mining. Journal of Machine Learning Research - Proceedings Track 10: 4-13 (2010)

33. Zheng Zhao, Jiangxin Wang, Shashvata Sharma, 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.

34. Zheng Zhao and Huan Liu. Multi-source feature selection via geometry-dependent covariance analysis. Journal

of Machine Learning Research (JMLR), Workshop and Conference Proceedings Volume 4: New challenges for fea-

ture selection in data mining and knowledge discovery, 4:36-47, 2008.

35. Keshu Zhang, Kari Torkkola, Haifeng Li, Christopher Schreiner, Harry Zhang, Mike Gardner, and Zheng Zhao. A con-

text aware automatic traffic notification system for cell phones. In Proceedings of The 7th International Work-

shop on Smart Appliances and Wearable Computing (IWSAWC'07), 2007.

Technical Skills:

SAS System: SAS programming language, SAS PROC Programming, High Performance Computing

(highly proficient)

Statistics Modeling, Matrix Computation, Convex and Nonconvex Optimization, Parallel Computing, Software En-

gineering (highly proficient)

Supervised/Unsupervised/Semi-supervised Learning, Ensemble Learning, Bayesian Inference, Feature Selec-

tion/Extraction, Sparse Learning, Distributed and Parallel Predictive Modeling (6 years of daily experience)

Programming: C/C++, SAS, Java, Matlab, R, Python, PHP, MPI/OpenMPI, MapReduce (10 years of daily experience)

Databases: SQL Server, MySQL, Oracle (proficient)

Operating Systems: Windows, LINUX/Unix, MAC (proficient)

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RESUME Zheng Zhao

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