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:

个人简介

联合举办会议信息如下:
The First Workshop on High Performance Machine Learning
http://www.comp.hkbu.edu.hk/~chxw/hpml.html

研究方向

数据挖掘,网络挖掘,机器学习,人工智能
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

高级程序委员  IJCAI (人工智能顶会)
高级程序委员  AAAI (人工智能顶会)
共同程序主席  International Conference on Security, Pattern Analysis, and Cybernetics (SPAC 2017)
审稿人  IEEE Transactions on Cybernetics
审稿人  IEEE Transactions on Knowledge and Data Engineering (TKDE)
审稿人  IEEE Transactions on Dependable and Secure Computing
审稿人  Information Sciences
Knowledge-based System
Knowledge and Information System等
会员  计算机学会,IEEE,ACM, 2011-

科研项目

2019 - 2022  大规模异构社交网络差分隐私保护方法研究,国家自然科学基金,面上项目,主持,64万
2018 - 2020  交互式社交网络隐私保护方法,深圳市基础研究计划,主持,30万
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

  深圳市孔雀计划C类

发明专利

1. 申请号:201811514976.5, “事件驱动型的股价预测方法、装置、设备及存储介质”,尹宗铭,张晓峰
2. 申请号:201811520457.X,“基于跨市场影响的股价预测方法、装置、设备及存储介质”,朱俊璋,张晓峰

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. 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. 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).
9. 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).
10. 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).
11. 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).
12. 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).
13. 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).
14. 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)
15. 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, 2013. (SCI)
16. 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)
17. 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)
18. 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)
19. 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)
20. 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.
21. 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.
22. 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. 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.

任教和任导师经历

任教课程  数据库系统原理,48学时/3学分,春季学期 (本科)
计算金融学,32学时/2学分,秋季学期 (本科)
高级数据库系统原理,32学时/2学分,英文授课,秋季学期 (全日制硕士)
高级数据库系统原理,32学时/2学分,双语授课,秋季学期(
  
最后更新:2019-08-19 17:03:58