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教授、博士生导师，广东省“机器创意与智能设计”创新团队负责人。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。
Research Interests
Data mining, Machine Learning, Fashion AI, Generative AI, Service ComputingResearch Groups
广东省“机器创意与智能设计”创新团队工业应用系统
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. |
| Jan. 2019-Present, I am a Full Professor at the Department of Computer Science, Harbin Institute of Technology, Shenzhen, P. R. China. |
My Talk
[1]. CCF-Shenzhen-学术论文审稿及撰写经验分享.pdf
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.
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 |
| 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 |
| Linlin Liu | (2021.12) | Huawei, Shenzhen |
| Qi Yuan | (2021.12) | Alibaba, Hangzhou |
| Wenjian Xu | (2021.12) | Tencent, Shenzhen |
| Jiaqi Chen | (2021.12) | Horizon Robotics, Shanghai |
| Haibin Zhou | (2021.12) | Tencent, Shenzhen |
| Shichao Xu | (2021.12) | Alibaba, Hangzhou |
| Dingding Zuo | (2022.06) | Hefei |
| Mingzheng Wang | (2022.06) | Kingdee Software, Shenzhen |
| Kai Yang | (2022.10) | Wuhan Textile University, Wuhan |
| Li Dong | (2022.12) | Shenzhen Technical University, Shenzhen |
| Xiangyu Zou | (2023.01) | Harbin Institute of Technology, Shenzhen |
| Jingkan Li | (2023.03) | Pinduoduo, Shanghai |
| Ziliang Yin | (2023.03) | ByteDance, Shanghai |
| Guojian Li | (2023.06) | TPLink, Shenzhen |
| Lujiao Shao | (2023.06) | Huawei, Shenzhen |
| Qingji Ren | (2023.06) | Dalian |
| Junjin Zheng | (2023.06) | Pinduoduo, Shanghai |
| Dongliang Zhou | (2023.09) | Postdoc, Harbin Institute of Technology, Shenzhen |
| Xinrui Yu | (2024.03) | Aliyun, Beijing |
| Gongcan Cai | (2024.03) | CMB, Shenzhen |
| Huiyue Sun | (2024.03) | Ant Financial, Hangzhou |
Current Students
| Jianyang Shi | PhD student | 2019 |
| Qun li | PhD student | 2019 |
| Han Yan | PhD student | 2020 |
| Xiangyu Mu | PhD student | 2021 |
| Jie Hou | PhD student | 2021 |
| Chenrui Ma | PhD student | 2023 |
| Chao Ouyang | PhD student | 2023 |
| Runzhe Wang | Msc | 2021 |
| Zhe Huang | Msc | 2021 |
| Minglong Dong | Msc | 2022 |
| Yazi Li | Msc | 2022 |
| Zhenghao Xu | Msc | 2022 |
| Chunxin Zhang | Msc | 2022 |
| Xinyue Han | Msc | 2023 |
| Boxiang Jia | Msc | 2023 |
| Jiaheng Wu | Msc | 2023 |
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.
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| 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) |
Here is the Baidu Netdisk download link. Contact hjzhang@hit.edu.cn for a password.
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. |
|
| UVM++_Datasets
(about 91GB) |
Here is the Baidu Netdisk download link. Contact hjzhang@hit.edu.cn for a password.
Note:If you use the data above, please cite the following paper: 1. Haijun Zhang, Chao Ouyang, Dingding Zuo, Haibin Zhou, Guojian Li, Zhe Huang and Kai Yang. Study. UVM++: A Large-scale Benchmark for Beverage Recognition in Intelligent Vending Machine[J]. IEEE Transactions on Consumer Electronics, 2023. |
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