教师名录
张晓峰
通讯地址:深圳西丽深圳大学城哈工大校区G栋709
电子邮件:zhangxiaofeng@hit.edu.cn
联系电话:

研究方向

Data mining, Web mining, Machine learning, Artificial Intelligence

教育经历

2003-2007  获哲学博士学位(计算机科学与技术),香港浸会大学
1997-1999  获工学硕士学位(控制理论与控制工程),哈尔滨工业大学

  

研究与工作经历

2015-  副教授、哈工大深圳研究生院计算机科学与技术学院
2011-2015  助理教授、哈工大深圳研究生院计算机科学与技术学院
  

专业资质与学术兼职

2011-  会员,计算机学会,中国;
会员,IEEE,ACM

科研项目

2014-2017  村镇区域抢险救灾应急救援技术研究与示范, 国家科技支撑计划子任务,主持
2014-2017  基于非显式隐私保护的大规模高维数据聚类方法研究, 国家自然科学基金,面上项目,主持,75万
2012-2014  公众隐私信息的高维聚类保护机制的研究,深圳基础研究计划,主持,20万

科研成果及奖励

  

论文及著作

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.


会议论文及发表演说

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.

任教和任导师经历

任教课程  数据库系统原理,32学时/2学分,秋季学期 (全日制硕士)
数据库系统原理,32学时/2学分,秋季学期(工程硕士)
导师经历  每年招研究生3人;
欢迎有志读博士的学生报考。
最后更新:2017-10-20 15:38:35