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个人简介

2000年9月-2007年3月于东北大学分别获得学士和硕士学位。2010年10月获香港城市大学电子工程系博士学位。2007年3月至2007年8任香港城市大学助理研究员。2010年3月至2010年6月任美国马里兰大学电子与计算机工程系访问学者。2010年11月至2011年11月工作于加拿大温莎大学电器与计算机工程系任博士后研究员。2012年3月-2018年12月任哈尔滨工业大学深圳研究生院计算机科学与技术学院副教授、博士生导师。2019年至今任哈尔滨工业大学(深圳)计算机科学与技术学院教授、博士生导师。主要研究方向为数据挖掘、机器学习、多媒体信息处理、时尚智能、服务计算等。自2007年起,参与并完成了多项国家重点研发计划、国家自然科学基金项目、香港政府RGC研究项目、美国自然科学基金资助项目和加拿大自然科学与工程研究项目。在IEEE Trans.等国际顶级期刊、会议发表论文150余篇,授权美国、日本、中国等发明专利20余项。目前担任IEEE Transactions on Consumer Electronics等国际期刊编委。 教育经历 2007.9-2010.10 获工学博士学位(电子工程),香港城市大学 2004.9-2007.3 获工学硕士学位,东北大学 2000.9-2004.7 获工学学士学位,东北大学 研究与工作经历 2019.1-至今 教授,博士生导师,哈尔滨工业大学(深圳) 2012.3-2018.12 副教授,博士生导师,哈尔滨工业大学深圳研究生院 2010.11-2011.11 博士后,加拿大温莎大学 科研项目 2012.9-2014.8 深圳市基础研究项目1项:“面向电子图书的长文本语义特征空间表示模型研究”,已结题 2014.1-2016.12 国家自然科学基金(青年)项目:“基于异构特征融合的社会媒体用户分类关键技术研究”,结题

研究领域

数据挖掘(Data mining); 机器学习(Machine Learning); 多媒体信息处理(Multimedia signal processing); 时尚智能(Fashion Learning);服务计算(Service Computing)

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Haijun Zhang, Yanfang Sun, Mingbo Zhao, Tommy W. S. Chow and Q.M. Jonathan Wu. Bridging User Interest to Item Content for Recommender Systems: An Optimization Model. IEEE Transactions on Cybernetics, Mar. 2019, in press, doi: 10.1109/TCYB.2019.2900159. Haijun Zhang, Shuang wang, Mingbo Zhao, Xiaofei Xu, and Yunming Ye. Locality Reconstruction Models for Book Representation. IEEE Transactions on Knowledge and Data Engineering, Feb. 2018, in press, doi: 10.1109/TKDE.2018.2808953. Haijun Zhang, Shuang Wang, Xiaofei Xu, et al. Tree2Vector: Learning a Vectorial Representation for Tree-Structured Data. IEEE Transactions on Neural Networks and Learning Systems, Jan. 2018, in press, doi: 10.1109/TNNLS.2018.2797060. Haijun Zhang, Xiong Cao, John K. L. Ho, and Tommy W. S. Chow. Object-level Video Advertising: An Optimization Framework. IEEE Transactions on Industrial informatics, Apr. 2017, Volume: 13, Issue: 2, pp. 520 - 531. Haijun Zhang, Jingxuan Li, Yuzhu Ji, and Heng Yue. Subtitle Understanding by Character-level Sequence-to-sequence Learning. IEEE Transactions on Industrial informatics, Apr. 2017, Volume: 13, Issue: 2, pp. 616 – 624. Haijun Zhang, Yuzhu Ji, Jingxuan Li, and Yunming Ye. A Triple Wing Harmonium Model for Movie Recommendation. IEEE Transactions on Industrial informatics, Feb. 2016, vol. 2, no. 1, pp. 231-239. Haijun Zhang, Tommy W. S. Chow, and Q. M. Jonathan Wu. Organizing Books and Authors by Multilayer SOM. IEEE Transactions on Neural Networks and Learning Systems, Dec. 2016,vol. 27, no. 12, pp. 2537-2550. Haijun Zhang, John K. L. Ho, Jonathan Q. M. Wu, and Yunming Ye. Multi-Dimensional Latent Semantic Analysis Using Term Spatial Information. IEEE Transactions on Systems, Man and Cybernetics-Part B, 2013, vol. 43, no. 6, pp. 1625-1640. Haijun Zhang, Jaime Llorca, Christopher C. Davis and Stuart D. Milner. Nature-Inspired Self-Organization, Control and Optimization in Heterogeneous Wireless Networks. IEEE Transactions on Mobile Computing, 2012, vol.11, no. 7, pp. 1207-1222. Haijun Zhang, Gang Liu, Tommy W. S. Chow and Wenyin Liu. Textual and Visual Content-based Anti-phishing: A Bayesian Approach. IEEE Transactions on Neural Networks, 2011, vol. 22, no. 10, pp. 1532-1546. Haijun Zhang and Tommy W. S. Chow. A Coarse-to-Fine Framework to Efficiently Thwart Plagiarism. Pattern Recognition, 2011, vol. 44, no. 2, pp. 471-487. Haijun Zhang, Tommy W. S. Chow, and M. K. M. Rahman. A New Dual Wing Harmonium Model for Document Retrieval. Pattern Recognition, 2009, vol. 42, no. 11, pp.2950-2960. Haijun Zhang, Jonathan Q. M. Wu , Tommy W. S. Chow, and Mingbo Zhao. A Two-Dimensional Neighborhood Preserving Projection for Appearance-Based Face Recognition. Pattern Recognition, 2012, vol. 45, no. 5, pp. 1866-1876. Qingyao Wu, Yunming Ye, Haijun Zhang and Shenyang Ho. ML-TREE: A Tree-Structure Based Approach to Multi-Label Learning. IEEE Transactions on Neural Networks and Learning Systems, 2015, vol. 26, no. 3, pp. 430-443. Xiaohui Huang, Yunming Ye and Haijun Zhang. Extensions of Kmeans-type Algorithms: A New Clustering Framework by Integrating Intra-cluster Compactness and Inter-cluster Separation. IEEE Transactions on Neural Networks and Learning Systems, 2014, 25(8), 1433-1446. Penglin Dai, Kai Liu, Liang Feng, Haijun Zhang, Victor Chung Sing Lee, Sang Hyuk Son, and Xiao Wu. Temporal Information Services in Large-Scale Vehicular Networks through Evolutionary Multi-Objective Optimization. IEEE Transactions on Intelligent Transportation Systems,Feb. 2018, Accept and in press.

学术兼职

目前担任Neurocomputing、Pattern Analysis and Applications、Neural Computing & Applications等国际期刊副主编。

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