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Peng Zhang

Associate Professor

Institute of Information Engineering, Chinese Academy of Sciences
NO. 6 Kexueyuan South Road, Haidian District, Beijing, 100190, China

Phone: 86-10-6260-0979
Email: zhangpeng@ict.ac.cn

Bio

Peng Zhang is an Associate Professor at the Institute of Information Engineering, Chinese Academy of Sciences. Currently, he is also a Research Assistant Professor at the Computer Science Department, Florida Atlantic University. His research focuses on stream data mining, information security and privacy. He received Ph.D. in Computer Science from Chinese Academy of Sciences in July 2009. He was a postdoctoral fellow at the Computer Science Department, Texas State University-San Marcos from March 1 to September 30, 2011. Prior to that, he was an Assistant Professor at the Institute of Computing Technology, Chinese Academy of Sciences from July 2009 to Feburary 2011.

Selected Publications (from 60+ papers)

  • J. Li, P. Zhang, X. Liu, X. Zhu and L.Guo, "Efficient Behavior Targeting Using SVM Ensemble Indexing". Submitted to the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. [code for review]
  • P. Wang, P. Zhang, and L. Guo, "Minining Multi-label Data Streams Using Ensemble-based Active Learning ". In Proceedings of the 2012 SIAM International Conference on Data Mining (SDM-12), Anaheim, California, USA .
  • P. Zhang, B. Gao, X. Zhu, and L. Guo, "Enabling Fast Lazy Learning for Data Streams". In Proceedings of the 11th IEEE International Conference on Data Mining (ICDM-11), December 11-14, 2011, Vancouver, Canada. [pdf]
  • J. Guo, P. Zhang, J. Tan, and L. Guo, "Mining Frequent Patterns across Multiple Data Streams". In Proceedings of the 20th ACM International Conference on Information and Knowledge Management (CIKM-11), October 24-28, 2011, Glasgow, Scotland, UK. [pdf][code]
  • J. Li, P. Zhang, J. Tan, P. Liu, and L. Guo, "Continuous Data Stream Query in the Cloud". In Proceedings of the 20th ACM International Conference on Information and Knowledge Management (CIKM-11), October 24-28, 2011, Glasgow, Scotland, UK. [pdf]
  • P. Zhang, J. Li, P. Wang, B. Gao, X. Zhu, and L. Guo, "Enabling Fast Prediction for Ensemble Models on Data Streams". In Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-11), August 21-24, 2011, San Diego, CA, USA. [pdf][code][ppt]
  • P. Zhang, X. Zhu, J. Tan, and L. Guo, "Classifier and Cluster Ensembles for Mining Concept Drifting Data Streams". In Proceedings of the 10th IEEE International Conference on Data Mining (ICDM-10), Sydney, Australia, December 14-17, 2010, pages: 1175-1180.
  • P. Zhang, X. Zhu, J. Tan, and L. Guo, "SKIF: A Data Imputation Framework for Concept Drifting Data Streams". In Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM-10), Toronto, Ontario, Canada, October 26-31, pages: 1869-1872.
  • P. Zhang, X. Zhu, and L. Guo, "Mining Data Streams with Labeled and Unlabeled Training Examples". In Proceedings of the 9th IEEE International Conference on Data Mining (ICDM-09), Miami, Florida, USA, December 6-9, 2009, pages: 627-636.
  • X. Zhou, W. Jiang, Y. Tian, P. Zhang, G. Nie, and Y. Shi, "A New Kernel-based Classification Algorithm". In Proceedings of the 9th IEEE International Conference on Data Mining (ICDM-09), Miami, Florida, USA, December 6-9, 2009, pages: 1094-1099.
  • P. Zhang, X. Zhu, Y. Shi, and X. Wu, "An Aggregate Ensemble for Mining Concept Drifting Data Streams with Noise". In Proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-09), Bangkok, Thailand, April 27-30, 2009, pages: 1021-1029.
  • P. Zhang, X. Zhu, and Y. Shi, "Categorizing and Mining Concept Drifting Data Streams". In Proceedings of the 14th ACM international conference on Knowledge Discovery and Data mining (KDD-08), Las Vegas, Nevada, USA, August 24-27, 2008, pages: 812-820.
  • X. Zhu, P. Zhang, X.Wu, D. He, C. Zhang, and Y. Shi, "Cleansing Noisy Data Streams". In Proceedings of the 8th IEEE International Conference on Data Mining (ICDM-08), Pisa, Italy, December 15-19, 2008, pages: 1139-1144.
  • X. Zhu, P. Zhang, X. Lin and Y. Shi, "Active Learning from Data Streams". In Proceedings of the 7th IEEE International Conference on Data Mining (ICDM-07), Omaha, Nebraska, USA, October 28-31, 2007, pages: 757-762.
  • P. Zhang, B. Gao, P. Liu, Y. Shi, and L. Guo, "A Framework for Application-Driven Classification of Data Streams". Neurocomputing, accepted. (SCI)
  • P. Zhang, X. Zhu, Y. Shi, L. Guo, and X. Wu, "Robust Ensemble Learning for Mining Noisy Data Streams". Decision Support Systems, Vol. 50(2), 2011, pages: 469-479. (SCI)
  • X. Zhu, P. Zhang, X. Lin, Y. Shi, "Active Learning from Stream Data Using Optimal Weight Classifier Ensemble". IEEE Transactions on System, Man, Cybernetics, Part B, Vol. 40 (6), 2010, pages: 1607- 1621. (SCI)
  • P. Zhang, X. Zhu, Z. Zhang, and Y. Shi, "Multiple Criteria Programming for VIP Email Behavior Analysis". Web Intelligence and Agent Systems: An International Journal, Vol. 8(1), 2010, pages: 69-78. (EI)
  • J. Zhang, Y. Shi, and P. Zhang, "Several Multi-criteria Programming Methods for Classification". Computers and Operations Research , Vol. 36(3), 2009, pages: 823-836. (SCI)
  • Y. Shi, Y. Tian, X. Chen, and P. Zhang, "Regularized Multiple Criteria Linear Programs for Classification". Science in China Series F: Information Sciences, Vol. 52(10), 2009, pages: 1812-1820. (SCI)

Professional Services

  • Journal Reviewer
    • IEEE Transactions on Knowledge & Data Engineering (TKDE).
    • Neurocomputing.
    • Information Sciences.
    • International Journal of Information Technology and Decision Making (IJITDM).
    • International Journal of Software and Informatics (IJSI).
  • Conference PC Member
    • ACM International Conference on Information and Knowledge Management (CIKM), 2011.
    • International Conference on Machine Learning and Applications (ICMLA), 2010-2011.
    • IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology workshops on Optimization-based Data Mining and Web Intelligence (WI Workshops), 2008-2011.
    • International Conference on Multiple Criteria Decision Making (MCDM), 2009.
    • International Conferences on Computational Sciences workshops on Computational Financial and Business Intelligence (WI Workshops), 2007-2011.
    • IEEE International Conference on Data Mining workshop on Optimization based Data Mining Techniques with Applications (ICDM Workshop), 2007.

Grants

  • Principle Investigator, "Mining Complex Patterns from Multiple Data Streams", National Natural Science Foundation of China (NSFC) under Grant No. 61003167, 2011-2013.
  • Co-Investigator, "On-line Deep Packet Inspection Algorithms with Network Contextual Information", National Natural Science Foundation of China (NSFC) under Grant No. 61003295, 2011-2013.

Awards & Honors

  • Second Prize, Excellent Research Paper Award, Institute of Computing Technology, Chinese Academy of Sciences, 2010. [pdf]
  • First Prize, Excellent Research Paper Award, Institute of Computing Technology, Chinese Academy of Sciences, 2009. [pdf]
  • Best Workshop Paper, International Conference on Computational Sciences (ICCS), 2009. [pdf]
  • Zhu-Li-Yue-Hua Excellent Ph.D. Student Scholarship, Chinese Academy of Sciences, 2009.
  • BHP Billiton Excellent Ph.D. Student Scholarship, Chinese Academy of Sciences, 2008.
  • Best Workshop Paper, International Conference on Computational Sciences (ICCS), 2008. [pdf]

Group Members

  • Jing Guo, Ph.D. student.
  • Jun Li, Ph.D. student.
  • Zhi Qiao, Ph.D. student. (Visting Victoria University, Australia, under the supervision of Prof. YanChun Zhang)
  • Peng Wang, Ph.D. student.
  • Wenyu Zang, Ph.D. student.

Collabrators (in alphabetical order)