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张正的简历

更新时间：2019年09月23日 11:39:44访问次数：

Zheng Zhang (张正)

 

Department of Computer Science and Technology,

Harbin Institute of Technology, Shenzhen.

Shenzhen, China

Personal Homepage: https://sites.google.com/view/darrenzhang

Email: zhengzhang@hit.edu.cn

Biography

Dr. Zheng Zhang is currently an Assistant Professor at the School of Computer Science & Technology, Harbin Institute of Technology (Shenzhen), China. Prior to this, he received his M.S. degree in Computer Science (2014) and Ph.D. degree in Computer Applied Technology (2018) from the Harbin Institute of Technology. His Ph.D. Thesis won the Distinguished Doctor Degree Thesis Award of Harbin Institute of Technology. During his Ph.D. study, he visited the National Laboratory of Pattern Recognition (NLPR) at Chinese Academy of Sciences (CAS), Beijing, working with Prof. Cheng-Lin Liu (Director of the Laboratory, IEEE Fellow and IAPR Fellow), from Jun. 2015 to Jun. 2016. Dr. Zhang was a Research Associate at The Hong Kong Polytechnic University from Apr. 2018 to Oct. 2018. He then joined in School of Information Technology and Electrical Engineering, The University of Queensland, Australia, as a Postdoctoral Research Fellow from Oct. 2018 to Sep. 2019. He has published over 40 technical papers at prestigious international journals and conferences, including the IEEE TPAMI, IEEE TNNLS, IEEE TIP, IEEE TCSVT, Pattern Recognition, CVPR, ECCV, AAAI, IJCAI, SIGIR, ACMM, ICDM and etc. He received the Best Paper Award from 2014 International Conference on Smart Computing (SMARTCOMP).

 

Research Interests

I have a broad interest in Machine Learning, Computer Vision, Pattern Recognition and Data Mining models, with a focus on developing scalable algorithms to learn robust data representations from large-scale data for different applications. My research topics mainly include:

1) Large-scale Image Recognition, Clustering and Data Analytics

2) Big Data Retrieval, Learning to Hash, Efficient Video Analytics

3) Sparse and Low-rank Modeling, Subspace Learning, and Regression Analysis

4) Deep Learning (Especially on Deep Autoencoder, Deep CNN and GAN)

5) Convex Optimization and Matrix Factorization

 

Education

2014/09 – 2018/04 Ph.D. in Computer Applied Technology, Harbin Institute of Technology

2012/09 – 2014/06 M.Sc. in Computer Science and Technology, Harbin Institute of Technology

2008/09 – 2012/06 B.Sc. in Computer Science and Technology, Henan University of Science and Technology

 

Research Experience

2019/09 - , Assistant Professor, Department of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China

2018/10 – 2019/09, Postdoctoral Research Fellow, The University of Queensland, Australia

2018/04 – 2018/10, Research Associate, Hong Kong Polytechnic University, Hong Kong, China

2015/06 – 2016/06, Visiting Researcher, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

 

Journal Publication

  1. Z. Zhang, L. Liu, F. Shen, H. T. Shen, L. Shao, “Binary Multi-View Clustering,” IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), DOI: 10.1109/TPAMI.2018.2847335, 2019. (人工智能排名第一, 中科院一区, CCF A类, JCR一区, IF: 17.730)

  2. Z. Zhang, L. Shao, Y. Xu, L. Liu, J. Yang, “Marginal Representation Learning With Graph Structure Self-Adaptation,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 29, no. 10, pp. 4645-4659, 2018. (人工智能排名第二, 中科院一区, JCR一区, IF: 11.683)

  3. Z. Zhang, Y. Xu, L. Shao, J. Yang, “Discriminative Block-Diagonal Representation Learning for Image Recognition,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 29. no. 7, pp. 3111-3125, 2018. (人工智能排名第二，中科院一区, JCR一区, IF: 11.683)

  4. Z. Zhang, Y. Xu, J. Yang, X. Li, D. Zhang, “A Survey of Sparse Representation: Algorithms and Applications,” IEEE Access, vol. 3, pp. 490-530, 2015. (中科院二区, JCR一区, ESI 1%高被引论文, IF: 4.098)

  5. Z. Zhang, Z. Lai, Y. Xu, L. Shao, G. Xie, “Discriminative Elastic-Net Regularized Linear Regression,” IEEE Transactions on Image Processing (TIP), vol. 26, no. 3, pp. 1466-1481, 2017. (图像处理排名第一, CCF A类, JCR一区, IF: 6.790)

  6. Z. Zhang, Z. Lai, Z. Huang, W. K. Wong, G.-S. Xie, L. Liu, L. Shao, “Scalable Supervised Asymmetric Hashing with Semantic and Latent Factor Embedding,” IEEE Transactions on Image Processing (TIP), DOI:10.1109/TIP.2019.2912290, 2019. (图像处理排名第一, CCF A类, JCR一区, IF: 6.790)

  7. Z. Li, Z. Zhang* (通讯作者), J. Qin, Z. Zhang, L. Shao, “Discriminative Fisher Embedding Dictionary Learning Algorithm for Object Recognition,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), DOI: 10.1109/TNNLS.2019.2910146, 2019. (中科院一区, JCR一区, IF: 11.683)

  8. Y. Xu, Z. Zhang* (通讯作者), G. Lu, J. Yang, “Approximately Symmetrical Face Images for Image Preprocessing in Face Recognition and Sparse Representation based classification,” Pattern Recognition (PR), vol. 54, pp. 68-82, 2016. (导师一作，学生二作及通讯作者, 模式识别学会汇刊, 中科院二区, JCR一区, IF: 5.898)

  9. Z. Zhang, L. Wang, Q. Zhu, S.-K. Chen, Y. Chen, “Pose-Invariant Face Recognition using Facial Landmarks and Weber Local Descriptor,” Knowledge-Based Systems (KBS), vol. 84, pp. 78-88, 2015. (中科院二区, JCR一区, IF: 5.101)

  10. Z. Zhang, L. Wang, Q. Zhu, Z. Liu, Y. Chen, “Noise Modeling and Representation Based Classification Methods for Face Recognition,” Neurocomputing (NC), vol. 148, pp. 420-429, 2015. (中科院二区, JCR一区, IF: 4.072)

  11. J. Wen, Z. Zhong, Z. Zhang, L. Fei, Z. Lai, “Adaptive Locality Preserving Regression,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), DOI: 10.1109/TCSVT.2018.2889727, 2019. (中科院二区, JCR一区, IF: 4.046)

  12. Zhao Zhang, Jiahuan Ren, Weiming Jiang, Zheng Zhang, Richang Hong, Shuicheng Yan, Meng Wang, “Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary Learning,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), DOI: 10.1109/TCSVT.2019.2923007, 2019. (中科院二区, JCR一区, IF: 4.046)

  13. Y. Ding, C. Wong, Z. Lai, Z. Zhang, “Bilinear Supervised Hashing Based on 2D Image Features,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), DOI: 10.1109/TCSVT.2019.2891246, 2019. (中科院二区, JCR一区, IF: 4.046)

  14. Z. Zhang, Z. Li, B. Xie, et al. “Integrating Globality and Locality for Robust Representation Based Classification,” Mathematical Problems in Engineering, 2014. (SCI, IF: 1.179)

  15. Z. Li, Z. Zhang, Z. Fan, J. Wen, “An Interactively Constrained Discriminative Dictionary Learning Algorithm for Image Classification,” Engineering Applications of Artificial Intelligence, vol. 72, pp. 241-252, 2018. (中科院二区, JCR一区, IF: 3.526)

  16. Z. Li, Z. Zhang, J. Qin, S. Li, H. Cai, “Low-Rank Analysis-Synthesis Dictionary Learning with Adaptively Ordinal Locality Learning Systems,”Neural Networks (NN), Vol. 119, pp. 93-112, 2019.(中科院一区, JCR一区, IF: 5.785)

  17. Y. Xu, J. Wen, L. Fei, Z. Zhang, “Review of Video and Image Defogging Algorithms and Related Studies on Image Restoration and Enhancement,” IEEE Access, vol. 4, pp. 165-188, 2016. (中科院二区, JCR一区, IF: 4.098)

  18. G.-S. Xie, X.-B. Jin, Z. Zhang, Z. Liu, J. Pu, “Retargeted Multi-View Feature Learning With Separate and Shared Subspace Uncovering,” IEEE Access, vol. 5, pp. 24895 - 24907, 2018. (中科院二区, JCR一区, IF: 4.098)

  19. Q. Zhu, N. Xu, Z. Zhang* (通讯作者), D. Guan, W. Ran, D. Zhang, “Cross-Spectral Palmprint Recognition with Low-Rank Canonical Correlation Analysis,” Multimedia Tools and Applications (MTAP), 2019. (SCI, IF: 2.101)

  20. Y. Gu, H. Zhang, Z. Zhang, Q. Ye, “Asymmetric Graph based Zero-Shot Learning,” Multimedia Tools and Applications (MTAP), 2019. (SCI, IF: 2.101)

  21. H. Zhang, Z. Zhang, Y. Long, “Unsupervised Deep Triplet Hashing with Pseudo Triplets for Scalable Image Retrieval,” Multimedia Tools and Applications (MTAP), 2019. (SCI, IF: 2.101)

  22. H. Zhang, Z. Zhang, Z. Li, Y. Chen, J. Shi, “Improving Representation Based Classification for Robust Face Recognition,” Journal of Modern Optics, vol. 61, no. 11, pp. 961-968, 2014. (SCI, IF: 1.657)

  23. Q. Zhu, Z. Zhang * (通讯作者), N. Liu, H. Sun, “Near infrared hand vein image acquisition and ROI extraction algorithm,” Optik-International Journal for Light and Electron Optics, vol. 126, no. 24, pp. 5682-5687, 2015. (SCI, IF: 1.914)

Conference Publication

  1. Z. Zhang, G. Xie, Y. Li, S. Li, Z. Huang, “SADIH: Semantic-Aware DIscrete Hashing,” in Proc. of The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), Hawaii, USA, 2019. [Acceptance Rate: 16.2%](人工智能领域排名第一顶级会议, CCF A类)

  2. Z. Zhang, L. Liu, J. Qin, F. Zhu, F. Shen, Y. Xu, H. T. Shen, L. Shao, “Highly-Economized Multi-View Binary Compression for Scalable Image Clustering,” in Proc. of European Conference on Computer Vision (ECCV), Munich, Germany, pp. 717-732, 2018. [Oral-Acceptance Rate: 2.4%]. (计算机视觉三大顶级会议之一, CCF B类)

  3. Z. Wang+, Z. Zhang+* (共同第一作者，通讯作者), Y. Luo, Z. Huang, “Deep Collaborative Discrete Hashing with Semantic-Invariant Structure,” in Proc. of International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Paris, France, 2019. [Acceptance Rate: 24.4%] (信息检索领域排名第一顶级会议, CCF A类)

  4. J. Wen+, Z. Zhang+ (共同第一作者), Y. Xu, B. Zhang, L. Fei, H. Liu, “Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering,” in Proc. of The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), Hawaii, USA, 2019. [Acceptance Rate: 16.2%](人工智能领域排名第一顶级会议, CCF A类)

  5. Y. Luo, Z. Huang, Z. Zhang, Z. Wang, J. Li, Y. Yang, “Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation,” in Proc. of The 27th ACM International Conference on Multimedia (ACMM), Nice, France, 2019. (多媒体领域顶级会议, CCF A类)

  6. Z. Zhang, W. Jiang, Z. Zhang, S. Li, G. Liu, J. Qin, “Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning,” in Proc. of the 28th International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, 2019. (人工智能顶级会议, CCF A类)

  7. G.-S. Xie, L. Liu, X. Jin, F. Zhu, Z. Zhang, J. Qin, Y. Yao, L. Shao, “Attentive Region Embedding Network for Zero-shot Learning,” in Proc. of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA, 2019. (计算机视觉排名第一顶级会议, CCF A类)

  8. Z. Zhang, Y. Sun, Z. Zhang, Y. Wang, G. Liu, and M. Wang, Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification, in Proc. of the 19th IEEE International Conference on Data Mining (ICDM), Beijing, China, 2019. (CCF B, Acceptance Rate: 9.08%)

  9. Z. Zhang, L. Wang, Y. Wang, S. Li, Z. Zhang, Z. Zha, M. Wang, Adaptive Structure-Constrained Robust Latent Low-Rank Coding for Image Recovery, in Proc. of the 19th IEEE International Conference on Data Mining (ICDM), Beijing, China, 2019. (CCF B, Acceptance Rate: 9.08%)

  10. J. Wen, L. Fei, Z. Lai, Z. Zhang* (通讯作者), J. Wu, “Adaptive Locality Preserving Based Discriminative Regression,” in Proc. of International Conference on Pattern Recognition (ICPR), 2018. (CCF C类)

  11. Z. Zhang, Z. Zhong, J. Cui, L. Fei, “Learning Robust Latent Subspace for Discriminative Regression,” in Proc. of Visual Communications and Image Processing (VCIP), 2017 (Oral).

  12. Z. Zhang, Y. Xu, C.-L. Liu, “Natural Scene Character Recognition Using Robust PCA and Sparse Representation,” in Proc. of 12th IAPR International Workshop on Document Analysis Systems (DAS), pp. 340-345, 2016.

  13. B. Li, J. Zhang, Z. Zhang, Y. Xu, “A People Counting Method Based on Head Detection and Tracking,” in Proc. of International Conference on Smart Computing (SMARTCOMP), pp. 136-141, 2014. [Best paper Award]

  14. J. Wen+, Z. Zhang+ (共同第一作者), Z. Zhong, Y. Xu, “Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization,” in Proc. of European Conference on Computer Vision (ECCV) Workshop, 2018.

  15. Y. Li, Y. Luo, Z. Zhang, P. Cui and S. Sadiq, “Data Augmentation for Better Recommendation,” in proceedings of IEEE International Conference on Data Engineering (ICDE) Workshops, 2019.

  16. Y. Tong, Y. Luo, Z. Zhang, S. Sadiq and P. Cui, “Collaborative Generative Adversarial Network for Recommendation Systems,” in proceedings of IEEE International Conference on Data Engineering (ICDE) Workshops, 2019.

  17. Z. Zhong, Z. Zhang, Y. Xu, “Projective Representation Learning for Discriminative Face Recognition,” in proceedings of China Conference on Computer Vision (CCCV), pp. 3-15, 2017.

  18. X. Fang, Y. Xu, Z. Zhang, “Orthogonal Self-guided Similarity Preserving Projections,” in proceedings of the International Conference on Image Processing (ICIP 2015), pp. 344-348, 2015.(CCF C)

  19. L. Fei, J. Wen, Z. Zhang, et al. Local Multiple Directional Pattern of Palmprint Image recognition, in proceedings of International Conference on Pattern Recognition (ICPR), pp. 3013-3018, 2016.(CCF C类)

  20. K. Yan, J. Zhang, Z. Zhang, Z. He, Y. Xu, “A New Fusion Algorithm based ESRC and LRC,” in proceedings of International Conference on Artificial Intelligence and Software Engineering (AISE), pp. 393-399, 2014.

 

Academic Talks

Collaborative Generative Adversarial Network for Recommendation Systems. IEEE International Conference on Data Engineering (ICDE), Macau, China, 2019.

Data Science Education in University of Queensland, Shenzhen University, Shenzhen, China, 2019.

Highly-Economized Multi-View Binary Compression for Scalable Image Clustering. European Conference on Computer Vision Conference (ECCV), Munich, Germany, 2018. (Top Conference, More than 3,000 people)

Efficient Binary Multi-View Learning for Large-scale Image Clustering. Tencent Company, Shenzhen, China, 2018.

A Survey of Sparse representation: Algorithms and Applications. Chongqing University of Posts and Telecommunications, 2018.

Learning Robust Latent Subspace for Discriminative Regression. IEEE VCIP Conference, Florida, U.S.A., 2017.

Learning Discriminative Representation for Data Analytics. Harbin Institute of Technology, Shenzhen, China, 2017.

 

ACADEMIC SERVICES

Journal Reviewer for International Journal of Computer Vision (IJCV), IEEE Transactions on Image Processing (T-IP), IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), IEEE Transactions on Cybernetics (T-CYB), IEEE Transactions on Systems, Man and Cybernetics: Systems (T-SMCA), IEEE Transactions on Signal Processing (T-SP), IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), IEEE Transactions on Multimedia (T-MM), Pattern Recognition Journal (PR), IEEE Access, Neural Computing and Applications (NCAA), Pattern Recognition Letters (PRL), Neurocomputing, Neural Processing Letters, Multimedia Tools and Applications, Computer Methods and Programs in Biomedicine, Journal of Electronic Imaging (JEI), International Journal of Machine Learning and Cybernetics, EURASIP Journal on Advances in Signal Processing, International Journal of Image and Graphics, etc.

Technical Programming Committee for Top Coferences including IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019, 2020), International Conference on Computer Vision (ICCV 2019), AAAI Conference on Artificial Intelligence (AAAI 2019, 2020), Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2019, 2020), British Machine Vision Conference (BMVC 2019), Asia Pacific Web and Web-Age Information Management Joint Conference on Web and Big Data, etc.

 

 

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