ZHANG Xiaofeng
Address:
Rm C409, HIT Campus, University Town, Xili, Nanshan, Shenzhen (518055)
Email:
zhangxiaofeng@hit.edu.cn
Phone:
PERSONAL PROFILE
 
RESEARCH INTEREST
 
Machine Learning, Data Mining
EDUCATION  
2003-2007
PhD in Computer Science, Hongkong Baptist University
Thesis: ‘A model-based approach for distributed data mining’
1997-1999
M.E in Control Theory and Control Engineering, Harbin Institute of Technology, China.
Thesis: ‘Fuzzy control in combustion process of power plant’
1993-1997
B.E. in Power System Automation, Northeast China Dianli University, China.
Thesis: ‘Chaos analysis on the electroencephalogram of epilepsy patient’
RESEARCH & WORK EXPERIENCE  
2015-
Associate Professor, Department of Computer Science, Harbin Institute of Technology (Shenzhen), China.
2011-2015
Assistant Professor, Department of Computer Science, Harbin Institute of Technology (Shenzhen), China.
PROFESSIONAL QUALIFICATION & ACADEMIC SERVICE
 
2011-
Member, CCF, China
Member, IEEE, ACM
RESEARCH PROJECTS
2012-2014
Shenzhen Foundation Research Plan: [Research on high dimensional data clustering method with privacy protection on public sensitive data][ JCYJ20120613150552967]
2012-2013
HIT Innovation Fund: [A study of clustering method on high-dimensional sensitive data][ HIT.NSRIF.2013105]
RESEARCH ACHIEVEMENT & AWARDS
PATENT
   
PAPER & BOOK PUBLICATIONS
Book Chapter
Innovations in Logistics and Supply Chain Management Technologies for Dynamic Economies, IGI Global, March 31, 2012, Isbn-10: 1-4666-0267-8

1. X Zhang, WK Cheung, Y Ye, “Mining from distributed and abstracted data”, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Sept/October, 2016, (JCR Q2)
2. C.S. Li, Y.M. Ye, X.F. Zhang, “The Author-Topic-Community Model - A Generative Model Relating Author Interest and Their Community Structure”, Knowledge and Information Systems (KAIS), 2015: 44 (2), 359-383. (JCR Q2)
3. X You, X Li, Z He, XF Zhang, “A robust local sparse tracker with global consistency constraint”, Signal Processing, 308-318, June, 2015. (JCR Q1)
4. Q Huang, Z You, X Zhang, Y Zhou, “Prediction of Protein–Protein Interactions with Clustered Amino Acids and Weighted Sparse Representation”, International journal of molecular sciences, 16(5): 10855-10869, May, 2015. (JCR Q2)
5. D. H. Chu, C.S. Li, X.F. Xu, X.F. Zhang, “A graph based framework for route optimization in sea-trade logistics”, Mathematical Problems in Engineering, 2015. (SCI)
6. X.H. Huang, X.F. Zhang, Y.M. Ye, S.C. Deng, X.T. Li, “A Topic Detection Approach Through Hierarchical Clustering on Concept Graph”, Appl. Math. & Info. Sciences, Volume 7, No. 6, PP. 2285-2295, 2013. (SCI)
7. X.F. Zhang, William K. Cheung and C.H. Li, “Learning Latent Variable Models From Distributed and Abstracted Data”, Information Sciences, July, 2011. (SCI IF 4.038) (JCR Q1)
8. X.F. Zhang, Z.W. Luo, Frank. Tong, and William K. Cheung “A Game Theoretic Approach for Sensitive Information Sharing in Supply Chain”, International Journal of Applied Logistics, Dec. 2010.
9. W. K. Cheung , X.F. Zhang, H. F. Wong, J. Liu, Z. Luo, F. Tong, “When Distributed Data Mining Goes Service Oriented”, IEEE Internet Computing, July-August, 2006. (JCR Q2)
10. X.F. Zhang, C.M. Lam and W.K. Cheung, “Mining Local Data Sources for Learning Global Cluster Models via Local Model Exchange,” The IEEE Intelligent Informatics Bulletin, 4(2), 2004.
CONFERENCE PAPERS/TALKS
 
1. Q Huang, X Zhang, K Jia, X Han, Y Ye, “Subspace Model Based Discriminative Instances Selection for Weakly Supervised Object Detection”, In Proceedings of the IEEE International Conference on Data Mining (ICDM), 1514-1521, Nov., 2015.
2. Q Huang, K Jia, X Zhang, X Han, “Weakly Supervised Object Class Learning Via Discriminative Subspace Models”, In Proceedings of 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 229-232, 2015.
3. F Liu, X Zhang, Y Ye, Y Zhao, Y Li, “MLRF: multi-label classification through random forest with label-set partition”, In Proceedings of the International Conference on Intelligent Computing, 407-418, Aug., 2015.
4. Y Li, X Li, F Li, X Zhang, “A lexicon-based multi-class semantic orientation analysis for microblogs”, In Proceedings of the Asia-Pacific Web Conference (APWeb), 81-92, Sept., 2014.
5. H Ba, X Gao, X Zhang, Z He , “Protecting Data Privacy from being Inferred from High Dimensional Correlated Data”, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 495-502, Aug., 2014.
6. Q.Y. Wu, Y.M Ye, X.F. Zhang, Shen-Shyang Ho, “Cluster Tree based Multi-Label Classification for Protein Function Prediction”, BIBM, Dec. 2013
7. Z.C. Sun, Y.M. Ye, X.F Zhang, J. Huang, “Batch-Mode Active Learning With Semi-supervised Cluster Tree For Text Classification”, In Proceedings of the 2012 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).
8. C.S. Li, W. K. Chueng, Y.M. Ye, X.F. Zhang, “The Author-Topic-Community Model - A Generative Model Relating Author Interest and Their Community Structure”, ADMA 2012.
9. Y.M. Ye, C.S. Li, X.F. Zhang, “Unsupervised Web Page Segmentation through Graph Partition of DOM Tree”, in Proceedings of International Conference on Computer Convergence Technology , 2011.
10. Y.L. Fei, Z.W. Luo and X.F. Zhang, “ A Semantic DOM Approach for Webpage Information Extraction”, In Proceedings of the 2009 International Conference on Engineering Management and Service Sciences, 2009
11. X.F. Zhang and William K. Cheung, “A Game Theoretic Approach to Active Distributed Data Mining”, In Proceedings of the 2007 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology(IAT), Fremont, California, Nov.,2007
12. X.F. Zhang, William K. Cheung, C.H. Li, “Graph-Based Abstraction for Privacy Preserving Manifold Visualization”, In Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology (WI), Hong Kong, Dec., 2006
13. Xin Li, Zhili Wu and X.F. Zhang, “An Adaptation of EPCA to Image Compression and Reconstruction”, In Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC), Taipei , Taiwan , Oct., 2006
14. X.F. Zhang, H.F. Wong and William K. Cheung, “A Privacy-Aware Service-oriented Platform for Distributed Data Mining”, In Proceedings of the Third IEEE Conference on Enterprise Computing, E-Commerce and E-Services (EEE), San Francisco , California, Jun., 2006
15. X. F. Zhang, William K. Cheung, “Visualizing Global Manifold Based on Distributed Local Data Abstractions”, In Proceedings of the Fifth IEEE International Conference on Data Mining (ICDM), Houston, Texas, Nov.,2005.
16. X.F. Zhang and William K. Cheung, “Learning Global Models based on Local Data Abstractions”, In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI), Edinburg, Scotland, Aug., 2005.
17. C.M. Lam, X.F. Zhang and William K. Cheung, “On Mining Local Data Sources for Learning Global Cluster Models”, In Proceedings of the 2004 IEEE/WIC International Conference on Web Intelligence (WI), Beijing, China, Sept., 2004.
18. X.F. Zhang, C.M. Lam and William K. Cheung, “Web Page Organization and Visualization Using Generative Topographic Mapping – A Pilot Study”, In Proceedings of the ICML 2004, Banff, Canada, Jul., 2004.
TEACHING/SUPERVISING EXPERIENCE
Updated:2017-10