Aaron, Haijun Zhang

B.Eng., Ph.D.

Full Professor

Room: L1601 Tel: 0755-26033086 Fax: 0755-26033008 Email: hjzhang@hit.edu.cn

Vita

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正教授、博士生导师。主要研究方向为多媒体数据挖掘、机器学习、视链学习及优化、服务计算等。自2007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50余篇。获得广东省自然科学二等奖、深州市自然科学二等奖各1项。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, Machine Learning, Video Link Learning and Optimization, Service Computing

工业应用系统

商务票据智能识别系统群智化软件开发平台、智能穿搭系统、无人零售柜、无人机巡检系统等

Education

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-Dec. 2018, 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, 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.

[2]. 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.

[3]. 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.

[4]. 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.

[5]. 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.

[6]. 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.

[7]. 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.

[8]. 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.

[9]. 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.

[10]. 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.

[11]. 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.

[12]. 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.

[13]. 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.

[14]. 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.

[15]. 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.

[16]. 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.

Please find the full publication list at Google Scholar

Graduate Students

Xiong Cao (2014.12) Tencent, 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, 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
Yanfang Sun (2018.12) Baidu, Shenzhen
Han Guo (2018.12) Tencent, Shenzhen
Xiaoting Cui (2019.06) SF Express, Shenzhen
Yuzhu Ji (2019.12) Nanyang Technological University, Singapore
Mingshan Sun (2019.12) SenseTime, Shenzhen
Donghai Li (2019.12) SenseTime, Shenzhen
Xinghao Wang (2020.06) Huawei, Shenzhen
Yingji Wu (2020.12) Tencent, Shenzhen
Lang Ren (2020.12) Tencent, Shenzhen
Qiong Yu (2020.12) CMB Network Tech., Hangzhou
Wojia Yang (2021.06) Meituan, Beijing

Current Students

Linlin Liu PhD student 2016
Li Dong PhD student 2017
Dongliang Zhou PhD student 2018
Kai Yang PhD student 2018
Jianyang Shi PhD student 2019
Xiangyu Zou PhD student 2019
Qun li PhD student 2019
Han Yan PhD student 2020
Xiangyu Mu PhD student 2021
Jie Hou PhD student 2021
Qi Yuan Msc 2019
Wenjian Xu Msc 2019
Dingding Zuo Msc 2019
Jiaqi Chen Msc 2019
Mingzheng Wang Msc 2019
Haibin Zhou Msc 2019
Shichao Xu Msc 2019
Jingkan Li Msc 2020
Guojian Li Msc 2020
Ziliang Yin Msc 2020
Lujiao Shao Msc 2020
Chao Ouyang Msc 2020
Qingji Ren Msc 2020
Junjin Zheng Msc 2020
Xinrui Yu Msc 2021
Runzhe Wang Msc 2021
Gongcan Cai Msc 2021
Zhe Huang Msc 2021
Huiyue Sun Msc 2021

We are currently recruiting PostDoc research fellows (in particular for object detection). If you have interests on this, please contact me by Email: hjzhang@hit.edu.cn.

(我们正在招收博士后研究人员(着重于目标检测方向)!如有兴趣,请Email联系:hjzhang@hit.edu.cn)

Dataset

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.

20newsgroupDataset
books_use_total
dmoz12c
Html_CityU1
ReutersDataset
webkb4
yahoo_science
         Note:If you use the data above, please cite the following paper:
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, 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.
4. 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.
5. 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.

SmartUVM_Datasets
(about 8GB)
         Note:If you use the data above, please cite the following paper:
1. Haijun Zhang, Donghai Li, Yuzhu Ji, Haibin Zhou, and Weiwei Wu. Deep Learning-based Beverage Recognition for Unmanned Vending Machines: An Empirical Study. 2019 IEEE 17th International Conference on Industrial Informatics (INDIN). IEEE, 2019
2. Haijun Zhang, Donghai Li, Yuzhu Ji, Haibin Zhou, Weiwei Wu, and Kai Liu. Towards New Retail: A Benchmark Dataset for Smart Unmanned Vending Machines. IEEE Transactions on Industrial informatics. 2019, accepted and in press, doi: 10.1109/TII.2019.2954956.
        

News

1          The 1st Workshop on Data-Driven Industrial Informatics (DII)
2          2020 International Conference on Neural Computing for Advanced Applications
3          2020 IEEE International Symposium on Product Compliance Engineering-Asia
4          2021 International Conference on Neural Computing for Advanced Applications
5          2022 International Conference on Neural Computing for Advanced Applications

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