教师名录
张正
通讯地址:深圳市南山区深圳大学城哈工大校区信息楼1519室
电子邮件:darrenzz219 [at] gmail.com; zhengzhang [at] hit.edu.cn
联系电话:

个人简介

张 正,男,博士,哈尔滨工业大学(深圳) 计算机科学与技术学院 助理教授。分别于2014年7月和2018年4月获得哈尔滨工业大学硕士和博士学位(获"哈尔滨工业大学优秀硕士论文金奖"、"哈尔滨工业大学第二十一届优秀博士论文"和"中国电子学会优秀博士学位论文"(国家一级学会))。攻读博士学位期间,2015/06至2016/06在中科院自动化所模式识别国家重点实验室NLPR进行访问研究。2018/04至2018/10在香港理工大学担任研究助理,随后,2018/10至2019/09在澳大利亚昆士兰大学(Data Science Group)担任博士后研究员。截止目前为止,已发表学术论文40余篇(含中国计算机学会推荐A类10余篇,中科院一区10篇,IEEE Trans. 10余篇,JCR一区20余篇,ESI高被引一篇)包括顶级期刊论文发表在IEEE TPAMI, IEEE TNNLS, IEEE TIP, IEEE TCSVT, Neural Networks, Pattern Recognition等上和顶级会议论文发表在CVPR, ECCV, AAAI, IJCAI, SIGIR, ACMM, ICDM 等上。

个人主页:http://www.escience.cn/people/zhengzhang/index.html (更多信息)

研究方向

I am broadly interested in data analytics, deep learning and visual representation learning.
Computer Vision: Image Recognition, Image Clustering, Information Retrieval, Image Processing.
Machine Learning: Deep Representation Learning, Binary Code Learning, Dictionary Learning, Sparse/Low-rank Representation.

教育经历

2014/09 – 2018/04  哈尔滨工业大学 获得 计算机应用技术 工学博士学位
2012/09 – 2014/06  哈尔滨工业大学 获得 计算机科学与技术 工学硕士学位
2008/09 – 2012/06  河南科技大学 获得 计算机科学与技术 工学学士学位

研究与工作经历

2019/09 - 至今   哈尔滨工业大学(深圳),计算机科学与技术学院,助理教授
2018/10 – 2019/09  澳大利亚昆士兰大学,School of ITEE,博士后研究员
2018/04 – 2018/10  香港理工大学,研究助理

专业资质与学术兼职

1)期刊审稿人:Journal Reviewer  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 Signal Processing (T-SP), IEEE Transactions on Cybernetics (T-CYB), IEEE Transactions on Systems, Man and Cybernetics: Systems (T-SMCA), IEEE Transactions on Multimedia (T-MM), IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), Pattern Recognition Journal (PR), IEEE Signal Processing Letters (SPL), IEEE Access, Neural Computing and Applications (NCAA), Pattern Recognition Letters (PRL), Neurocomputing, Neural Processing Letters (NEPL), World Wide Web (WWW) Journal, Multimedia Tools and Applications, Journal of Visual Communication and Image Representation, 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.
2)顶级会议审稿人:Technical Programming Committee(程序委员会成员)  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), European Conference on Computer Vision (ECCV 2020),International Joint Conference on Artificial Intelligence (IJCAI 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.

高级程序委员会成员 SPC Member for European Conference on Artificial Intelligence (ECAI 2020, CCF B类);

科研项目

  

科研成果及奖励

2019.11  中国电子学会优秀博士学位论文(国家一级学会)
2019.07  哈尔滨工业大学优秀博士学位论文
2017.12  工信创新创业奖学金(国家工信部)
2017.04  春晖创新成果奖
2016.11  博士国家奖学金
2014.12  Best Paper Award in 2014 International Conference on Smart Computing (SMARTCOMP)
2014.06  哈尔滨工业大学优秀硕士论文(金奖)
2014.05  哈尔滨工业大学优秀硕士毕业生

发明专利

Multi-View Image Clustering Techniques Using Binary Compression, US Patent, Application ID:16/120,694, Filed in Sep. 2018. (美国专利)

论文及著作

代表性期刊论文:
[18] 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), vol. 41, no. 7, pp. 1774 - 1782, 2019. (The first binary code learning method for multi-view clustering.)(人工智能排名第一, 中科院一区, CCF A类, JCR一区, IF: 17.730)
[17] 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. (中科院一区, JCR一区, IF: 11.683)
[16] 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. (中科院一区, JCR一区, IF: 11.683)
[15] Z. Li, Z. Zhang, 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)
[14] G.-S Xie, Z. Zhang, L. Liu, F. Zhu, X.-Y. Zhang, L. Shao, X. Li, "SRSC: Selective, Robust, and Supervised Constrained Feature Representation for Image Classification," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), to be published, DOI: 10.1109/TNNLS.2019.2953675, 2019. (中科院一区, JCR一区, IF: 11.683)
[13] Y. Sun, Z. Zhang, W. Jiang, Z. Zhang, L. Zhang, S. Yan, M. Wang, "Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), DOI: 10.1109/TNNLS.2019.2954545, 2019. (中科院一区, JCR一区, IF: 11.683)
[12] 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)
[11] 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. (图像处理顶级期刊, 中科院一区, CCF A类, JCR一区, IF: 6.790)
[10] 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), vol. 28, no. 10, pp. 4803 - 4818, 2019. (图像处理顶级期刊, 中科院一区, CCF A类, JCR一区, IF: 6.790)
[9] Y. Xu, Z. Zhang, 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. (模式识别学会汇刊, 中科院二区, JCR一区, IF: 5.898)
[8] Z. Zhang, Q. Zhu, G.-S. Xie, Y. Chen, Z. Li, S. Wang, "Discriminative Margin-Sensitive Autoencoder for Collective Multi-View Disease Analysis," Neural Networks (NN), DOI: 10.1016/j.neunet.2019.11.013, 2019. (中科院一区, JCR一区, IF: 5.785)
[7] 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)
[6] 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)
[5] 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)
[4] 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)
[3] Z. Zhang, J. Ren, W. Jiang, Z. Zhang, R. Hong, S. Yan, M. 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)
[2] 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)
[1] 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)

代表性会议论文:
[16]. Y. Luo, Z. Huang, Z. Zhang*, Z. Wang, M. Baktashmotlagh, Y. Yang, Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks, in Proc. of The Thirty-Four AAAI Conference on Artificial Intelligence (AAAI), New York, USA, 2020. (CCF A类, * indicates Corresponding Author) [Acceptance Rate: 20.6%].
[15]. C. Zhang, Y. Yao, H. Liu, G. Xie, X. Shu, T. Zhou, Z. Zhang, F. Shen, Z. Tang, Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification, in Proc. of The Thirty-Four AAAI Conference on Artificial Intelligence (AAAI), New York, USA, 2020. (CCF A类) [Acceptance Rate: 20.6%].
[14] 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%](人工智能领域顶级会议, CCF A类)
[13] J. Wen+, Z. Zhang+, 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%](人工智能领域顶级会议, CCF A类)
[12] 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)
[11] Z. Wang+, Z. Zhang+*, 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)
[10] 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)
[9] 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)
[8] 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)
[7] 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类, Acceptance Rate: 9.08%)
[6] 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类, Acceptance Rate: 9.08%)
[5] J. Wen, L. Fei, Z. Lai, Z. Zhang*, J. Wu, “Adaptive Locality Preserving Based Discriminative Regression,” in Proc. of International Conference on Pattern Recognition (ICPR), 2018. (CCF C类)
[4] 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).
[3] 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.
[2] 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]
[1] J. Wen+, Z. Zhang+, Z. Zhong, Y. Xu, “Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization,” in Proc. of European Conference on Computer Vision (ECCV) Workshop, 2018.

会议论文及发表演说

6) Collaborative Generative Adversarial Network for Recommendation Systems. IEEE International Conference on Data Engineering (ICDE), Macau, China, 2019. (CCF A类顶级会议)

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

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

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

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

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

任教和任导师经历

  
最后更新:2019-12-17 16:48:53