Aaron, Haijun Zhang

B.Eng., Ph.D.

Associate Professor

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

 

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(公众号ID:iBi-An)

Vita

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、异构数据融合、机器学习和模式识别等。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 Mobile Computing》、《Pattern Recognition》等国际顶级期刊发表论文40余篇。

Research Interests

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

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-present, I am an Associate Professor at the Department of Computer Science, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, P. R. China.

Selected Journal Publications

[1]. 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, Aug. 2016, Accepted and in press.

[2]. Haijun Zhang, Jingxuan Li, Yuzhu Ji, and Heng Yue. Subtitle Understanding by Character-level Sequence-to-sequence Learning. IEEE Transactions on Industrial informatics, Jul. 2016, Accepted and in press, DOI: 10.1109/TII.2016.2601521.

[3]. 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.

[4]. 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, Nov. 2015, Accepted and in press, DOI: 10.1109/TNNLS.2015.2496281.

[5]. Ge Song, Yunming Ye, Haijun Zhang, Xiaofei Xu, Raymond YK Lau, Feng Liu. Dynamic Clustering Forest: An Ensemble Framework to Efficiently Classify Textual Data Stream with Concept Drift. Information Sciences, Aug. 2016, vol. 357, pp. 125-143.

[6]. 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.

[7]. 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.

[8]. Qingyao Wu, Yunming Ye, Haijun Zhang, Michael K. Ng and Shenyang Ho. ForesTexter: An Efficient Random Forest Algorithm for Imbalanced Text Categorization. Knowledge Based Systems, Volume 67, September 2014, Pages 105–116.

[9]. Xiaohui Huang, Yunming Ye, Huifeng Guo, Yi Cai, Haijun Zhang and Yan Li. DSKmeans: A New Kmeans-type Approach to Discriminative Subspace Clustering. Knowledge Based Systems, Volume 70, November 2014, Pages 293–300.

[10]. Yixiang Fang, Haijun Zhang, Yunming Ye, and Xutao Li. Detecting Hot Topics from Twitter: A Multi-View Approach. Journal of Information Science, 2014: 0165551514541614.

[11]. 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.

[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]. 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.

[14]. 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.

[15]. Haijun Zhang and Tommy W. S. Chow. A Multi-level Matching Method with Hybrid Similarity for Document Retrieval. Expert Systems With Applications, 2012, vol. 29, no.3, pp. 2710-2719.

[16]. 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.

[17]. 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.

[18]. Tommy W. S. Chow, Haijun Zhang, and M. K. M. Rahman. A New Document Representation Using Term Frequency and Vectorized Graph Connectionists with Application to Document Retrieval. Expert Systems With Applications, 2009, 36(10): 12023-12035.

[19]. Haijun Zhang, Tommy W. S. Chow, and M. K. M. Rahman. A Novel Dual Wing Harmonium Model Aided by 2-D Wavelet Transform Subbands for Document Data Mining. Expert Systems With Applications, 2010, vol. 37, no. 6, pp. 4403-4412.

[20]. A.Y.T Leung and Haijun Zhang. Particle swarm optimization of tuned mass dampers. Engineering Structures. 2009, 31: 715-728.

[21]. A.Y.T Leung, Haijun Zhang, C.C. Cheng and Y.Y. Lee. Particle swarm optimization of TMD by non-stationary base excitation during earthquake. Earthquake Engineering and Structural Dynamics, 2008, 37: 1223-1246.

Selected Conference Publications

[1]. Mingbo Zhao, Zhao Zhang and Haijun Zhang. A Soft Label Based Linear Discriminant Analysis for Semi-Supervised Dimensionality Reduction. International Joint Conference on Neural Networks. Aug. 2013, no.1041, pp.1-8.

[2]. Mingbo Zhao, Haijun Zhang and Zhao Zhang. Learning from Local and Global Discriminative Information for Semi-Supervised Dimensionality Reduction. International Joint Conference on Neural Networks. Aug. 2013, no.1107, pp.1-8.

[3]. Haijun Zhang, Shifu Bie and Bin Luo. Classifying Web Documents Using Term Spectral Transforms and Multi-Dimensional Latent Semantic Representation. International Joint Conference on Neural Networks. Jul. 2014, pp.1320-1327.

[4]. Xiong Cao, Haijun Zhang. Content-based Video Advertising: A General Framework. The 2nd International Conference on Computing, Measurement, Control and Sensor Network, Taiwan, May 2014.

[5]. Haijun Zhang, Tommy W. S. Chow and Anthony Fong. Generalized Particle Swarm Optimizers with Tracking Multiple Local Optima for Multimodal Functions Optimization. International Conference of Computing in Engineering, Science, and Information (ICC2009), Fullerton, Los Angeles, California, USA, Apr. 2009.

[6]. Haijun Zhang, Jaime Llorca, Christopher C. Davis, and Stuart D. Milner. A Novel Flocking Inspired Algorithm for Self-Organization and Control in Heterogeneous Wireless Networks. ISSNIP, Dec. 2010.

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

Current Students

Yuzhu JiPhD student2015
Linlin LiuPhD student2016
Li DongPhD student2017
Farooq Muhammad Omer Msc2014(International student from Pakistan)
Shuang WangMsc2015
Li ZhuMsc2015
Mingyue ChenMsc2015
Wang HuangMsc2015
Yanfang SunMsc2016
Han GuoMsc2016
Donghai LiMsc2016
Xiaoting CuiMsc2016

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.

(我们正在招收硕士、博士研究生和其他博士后研究人员!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.

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