ZHANG Xiaofeng
Address:
Rm C409, HIT Campus, University Town, Xili, Nanshan, Shenzhen (518055)
Email:
zhangxiaofeng@hit.edu.cn
Phone:
PERSONAL PROFILE
 
https://scholar.google.com/citations?user=AYg0RiQAAAAJ&hl=zh-CN
RESEARCH INTEREST
 
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.##||
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
Senior PC
IJCAI, 2017-
Senior PC
AAAI, 2017-
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. D Wang, X Qian, C Quek, AH Tan, C Miao, X Zhang, GS Ng, Y Zhou, “An interpretable neural fuzzy inference system for predictions of underpricing in initial public offerings”, Neurocomputing, 2018 319, 102-117, (SCI IF: 3.317)
2. M Parmar, D Wang, X Zhang, AH Tan, C Miao, J Jiang, Y Zhou, “REDPC: A residual error-based density peak clustering algorithm”, Neurocomputing, 2018, (SCI IF: 3.317)
3. Y Wang, L Yang, X Chen, X Zhang*, Z He, “Enhancing social network privacy with accumulated non-zero prior knowledge”, Information Sciences, 2018, 445, 6-21. (SCI IF: 4.832).
4. Yang Xiaofei, Yunming Ye, Xutao Li, Raymond YK Lau, X Zhang, and Xiaohui Huang , “Hyperspectral image classification with deep learning models”, IEEE Transactions on Geoscience and Remote Sensing, 56.9 (2018): 5408-5423. (SCI IF: 4.662)
5. F Li, Y Ye, Z Tian, X Zhang*, “CPU versus GPU: which can perform matrix computation faster—performance comparison for basic linear algebra subprograms”, Neural Computing and Applications, 2018, 1-13. (SCI IF: 4.462)
6. Y. Fang, X. Xie, X.F. Zhang*, Reynold Cheng, Z. Zhang. “STEM: A Suffix Tree Based Method for Web Data Records Extraction”, Knowledge and Information Systems (KIS), 55 (2), 305-331 2018, (SCI IF: 2.004).
7. Q. Huang, C. Jia, X.F. Zhang*, Y.M. Ye, “Learning Discriminative Subspace Models for Weakly Supervised Face Detection”, IEEE Transactions on Industrial Informatics, 2017, (SCI, IF: 6.746).
8. Y. Wang, L. Yang, X.F. Zhang*, “Enhancing Social Network Privacy with Accumulated Non-zero Prior Knowledge”, Information Sciences, 2017, (SCI IF: 4.832).
9. X.F. Zhang*, WK Cheung, Y Ye, “Mining from distributed and abstracted data”, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Sept/October, 2016, 6(5): 167-176, (SCI IF: 2.111).
10. X. Ma, Q. Liu, Z. He, X.F. Zhang*, W. Chen, “Visual tracking via exemplar regression model”, Knowledge-Based Systems (KBS) , 2016, 106:26-37, (SCI IF: 4.529).
11. 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 (KIS), 2015: 44 (2), 359-383, (SCI IF: 2.004).
12. X. You, X. Li, Z. He, X.F. Zhang, “A robust local sparse tracker with global consistency constraint”, Signal Processing, 2015, 111: 308-318, (SCI IF: 3.11).
13. Q Huang, Z You, X.F. 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, (SCI IF: 3.226).
14. D. Chu, C. Li, X. Xu, X.F. Zhang, “A graph based framework for route optimization in sea-trade logistics”, Mathematical Problems in Engineering, 2015, (SCI IF: 1.3).
15. 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)
16. D. H. Chu, X.F. Zhang*, X.F. Xu, C.S. Li, “Route Optimization in Foreign Trade Logistics: A Novel Graph Model based Approach”, Information Journal, Forthcoming, 2013. (SCI)
17. C.S. Li, Y.M. Ye, X.F. Zhang, “TPS: an Unsupervised Web Page Segmentation Algorithm Based on Dom Tree Structure Mining”, Information Journal, 15(5): 2091-2099, May, 2012. (SCI)
18. C.S. Li, Y.M. Ye, X.F. Zhang, “A Novel Graph Partition based Page Segmentation Algorithm”, Information Journal, 15(1):387-395, Jan., 2012. (SCI)
19. E. K. Wang, Y.M. Ye, X.F. Zhang, Y.P. Li, Z.J. Zhang, “Privacy Issues and Challenges for Context-aware Mobile Social Networks”, International Journal of Digital Content Technology and its Application, 2012. (EI)
20. 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 2.88)
21. 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.
22. 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.
23. 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. X Ju, X Zhang*, “Generating Synthetic Graphs for Large Sensitive and Correlated Social Networks”, ICDE, 2019.
2. Yang Xiaofei, Yunming Ye, Xutao Li, Xiaofeng Zhang, Haijun Zhang, Xiaohui Huang, and Boweng Zhang (2019). Road Detection via Deep Residual Dense U-Net. International Joint Conference on Neural Networks (IJCNN).
3. Z Yin, J Zhu, X Zhang, “Forecast customer flow using long short-term memory networks”, 2017 International Conference on Security, Pattern Analysis, and Cybernetics.
4. L Yang, Y Fei, X Zhang, Protecting Link Privacy for Large Correlated Social Networks, 2016 7th International Conference on Cloud Computing and Big Data (CCBD).
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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
11. 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).
12. 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.
13. 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.
14. 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
15. 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
16. 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
17. 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
18. 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
19. 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.
20. 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.
21. 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.
22. 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 Workshop on Statistical Relational Learning (SRL), Banff, Canada, Jul., 2004.
TEACHING/SUPERVISING EXPERIENCE
Updated:2019-04