Aaron, Haijun Zhang

B.Eng., Ph.D.

Associate Professor

Room: G710 Tel: 0755-26033086 Fax: 0755-26033008 Email: hjzhang@hit.edu.cn





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月至今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。主要研究方向为海量数据挖掘、机器学习、视链学习及优化等。自2004年起,参与并完成了多项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 Transactions on Neural Networks》、《IEEE Transactions on Knowledge and Data Engineering》、《IEEE Transactions on Cybnetics》、《IEEE Transactions on Industrial Informatics》、《IEEE Transactions on Mobile Computing》、《Pattern Recognition》等国际顶级期刊发表论文40余篇。获得深州市自然科学二等奖1项(排名第三)。目前担任Neurocomputing、Pattern Analysis and Applications、Neural Computing & Applications等国际期刊副主编。

Research Interests

Multimedia Data mining, Computational Advertising, Machine Learning, Video Link Learning


Ph.D. from the Department of Electronic Engineering, City University of Hong Kong, HK, October 2010.
Bachelor of Engineering (B.Eng) degree (Hons) and Master of Engineering (M.Eng) degree from Northeastern University,P. R. China, June 2004 and March 2007, respectively.

Work Experience

During Apr.-Sep. 2007, I worked with Prof. Andrew Leung as a research associate at City University of Hong Kong, Hong Kong.
During Apr.-Jun. 2010, I worked with Prof. Stuart D. Milner and Prof. Christopher C. Davis as an exchange researcher at the Department of Electronic and Computer Engineering, University of Maryland, College Park, USA.
Dec. 2010-Dec. 2011, I held a Postdoctoral Fellowship and worked with Prof. Jonathan Q. M. Wu at the Department of Electrical and Computer Engineering, University of Windsor, Ontario, Canada.
Mar. 2012-present, I am an Associate Professor at the Department of Computer Science, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, P. R. China.

Selected Publications

[1]. 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.

[2]. 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.

[3]. 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.

[4]. 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.

[5]. 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.

[6]. 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.

[7]. 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.

[8]. 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.

[9]. 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.

[10]. 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.

[11]. 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.

[12]. 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.

[13]. 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.

[14]. 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.

[15]. 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.

Graduate Students

Xiong Cao(2014.12)Tencent QQ,Beijing
Bin Luo(2014.12)Baidu,Shenzhen
Lu Lu(2015.12)Baidu,Beijing
Jingxuan Li (2015.12)Huawei,Shenzhen
Zhengqi Li(2015.12)Baidu,Beijing
Yusong An(2015.12)Rong360,Beijing
Yusheng Wang(2016.12)Tencent QQ,Shenzhen
Linhe Xu(2016.12)Sogou,Beijing
Shuang Wang(2017.12)Go abroad
Li Zhu(2017.12)Meituan,Beijing (Spectial offer)
Mingyue Chen(2017.12)Alibaba,Hangzhou
Wang Huang(2017.12)Baidu,Shanghai
Farooq Muhammad Omer (2017.12)Pakistan

Current Students

Yuzhu JiPhD student2015
Linlin LiuPhD student2016
Li DongPhD student2017
Yanfang SunMsc2016
Han GuoMsc2016
Donghai LiMsc2016
Xiaoting CuiMsc2016
Xinghao WangMsc2017
Yi DongMsc2017
Mingshan SunMsc2017

We are currently recruiting fresh Msc., Ph.D students and PostDoc research fellows. If you have interests on this, please contact me by Email: hjzhang@hit.edu.cn.



books_data        Note:If you use the data above, please cite the following paper:
        H. Zhang, T. W. S. Chow, and Q. M. J. Wu, “Organizing Books and Authors by Multilayer SOM,” IEEE Trans. Neural Netw. Learn. Syst., vol. 27, no. 12, pp. 2537-2550, Dec. 2016.


1         The 1st Workshop on Data-Driven Industrial Informatics (DII)