教师名录
张海军
通讯地址:中国深圳西丽大学城哈工大校区C栋406室
电子邮件:hjzhang@hitsz.edu.cn; aarhzhang@gmail.com
联系电话:0755-26033086

研究方向

海量数据挖掘,社会智能,统计机器学习,分类与聚类分析,网络优化。

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(控制理论与控制工程),东北大学
2000.9-2004.7  获工学学士学位(交通控制工程),东北大学

研究与工作经历

2012.3-  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

专业资质与学术兼职

  

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”,在研。

科研成果及奖励

  

论文及著作

[1]. 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.
[2]. 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.
[3]. 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.
[4]. 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.
[5]. Yixiang Fang, Haijun Zhang, Yunming Ye, and Xutao Li. Detecting Hot Topics from Twitter: A Multi-View Approach. Journal of Information Science, 2014: 0165551514541614.
[6]. 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.
[7]. 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.
[8]. 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.
[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 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.
[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]. 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.
[14]. 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 Application, 2010, vol. 37, no. 6, pp. 4403-4412.
[15]. A.Y.T Leung and Haijun Zhang. Particle swarm optimization of tuned mass dampers. Engineering Structures. 2009, 31: 715-728.
[16]. 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.

会议论文及发表演说

[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.

任教和任导师经历

任教课程  复杂网络建模,32学时/2学分,秋季学期
数据挖掘,32学时/2学分,春季学期(工程硕士)

导师经历  每年可招收硕士生4-5人、博士生1人;
已毕业硕士2人。

在读学生:
姬玉柱,博士研究生,2015级;
陆璐,硕士研究生,2013级;
李婧萱,硕士研究生,2013级;
李正琪,硕士研究生,2013级;
安玉松,硕士研究生,2013级;
王宇生,硕士研究生,2014级;
黎奉薪,硕士研究生,2014级;
FAROOQ MUHAMMAD OMER,硕士研究生,2014级(International student from Pakistan);

已毕业学生:
曹雄,腾讯(北京),2014.12;
骆彬,百度(深圳),2014.12。
最后更新:2019-06-04 11:14:28