张国庆

硕士生导师

毕业院校：南京理工大学

学历：博士研究生毕业

所在单位：计算机学院、网络空间安全学院（数字取证教育部工程研究中心、公共计算机教学部）

学科：模式识别与智能系统

办公地点：计算机楼401

联系方式：xiayang14551@163.com guoqingzhang@nuist.edu.cn

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个人简介

计算机与软件学院硕士生导师(学硕与专硕)，江苏省优秀青年基金获得者，南京信息工程大学龙山学者，2017年博士毕业于南京理工大学计算机科学与工程学院、控制模式识别与智能系统专业(导师: 孙怀江教授)，澳大利亚国立大学访问学者(2015.10-2016.11,导师：Fatih Porikli教授，IEEE Fellow)，新加坡南洋理工大学博士后(2018.12-2022.03,导师: Weisi Lin教授，IEEE Fellow)，研究方向包括计算机视觉、模式识别与机器学习，主要从事深度学习、人脸识别、稀疏编码学习、领域适应学习、行人重识别等领域的研究工作。近五年主持国家自然科学基金面上项目1项、青年基金1项；江苏省自然科学基金-优秀青年基金项目1项、青年基金1项；江苏省高校自然科学基金面上项目1项。以第一作者(包含通讯作者)在IEEE TIP、IEEE TMM、IEEE TIE、IEEE TCSVT、PR、INS、IJCAI、ICME等国际期刊和会议发表学术论文40余篇，被SCI收录30+篇。IEEE 会员，担任ICME 2022 Session Chair，AAAI 2023 Program Committee Member.

招生：欢迎对计算机视觉、模式识别、人工智能 、深度学习等方向感兴趣的同学报考我的研究生。要求：主动积极，认真勤奋，动手能力强，数学功底好，英语能力强。

2023年预计招收5-6名学生(学硕+专硕)

Recent Research Focus:

1. 计算机视觉与模式识别 (Computer Vision and Pattern Recognition)

 (1)行人重识别(Person Re-Identification)      (2)人脸识别(Face Recognition)

    (3)图像分类(Image Classification)                (4)领域适应学习(Domain Adaptation Learning)

2. 机器学习算法 (Machine Learning Algorithms)

 (1)深度学习(Deep Learning)                         (2)非监督学习(Unsupervised Learning) 

   (3)字典学习(Dictionary Learning)

Google Scholar：https://scholar.google.com.sg/citations?user=z14O5OIAAAAJ&hl=en

Homepage：https://zhguoqing.github.io/

Selected Journal Publications: (*表示通讯作者)

[31]. Guoqing Zhang, Weisi Lin*, Arun kumar Chandran, Xuan Jing,  Complementary Networks for Person Re-Identification, Information Sciences, vol. 633, pp. 70-84, 2023. (SCI : 1 区, CCF-B)

[30]. Guoqing Zhang, Hongwei Zhang, Weisi Lin*, Arun kumar Chandran, Xuan Jing, Camera Contrast Learning for Unsupervised Person Re-Identification, IEEE Transactions on Circuits and Systems for Video Technology, 2023. (SCI 1 区, Top 1期刊, CCF-B) 

[29]. Hongwei Zhang(学生), Guoqing Zhang*, Yuhao Chen, Yuhui Zheng, Global Relation-Aware Contrast Learning for Unsupervised Person Re-Identification, IEEE Transactions on Circuits and Systems for Video Technology, 32(12): 8599-8610, 2022. (SCI 1 区, Top 1期刊, CCF-B) 

[28]. Guoqing Zhang, Chao Chen, Yuhao Chen, Hongwei Zhang, Yuhui Zheng, Fine-grained-based Multi-feature Fusion for Occluded Person Re-identification, Journal of Visual Communication and Image Representation, vol. 87, 103581, 2022. (SCI)

[27]. Guoqing Zhang, Zhiyuan Luo , Yuhao Chen, Yuhui Zheng, Weisi Lin, Illumination Unification for Person Re-identification, IEEE Transactions on Circuits and Systems for Video Technology, 32(10): 6766-6777, 2022. (SCI 1 区, Top 1期刊, CCF-B) 

[26]. Yuhao Chen (学生), Guoqing Zhang*, Yujiang Lu, Zhenxing Wang, Yuhui Zheng, A Simple but Effective Part-based Convolutional Baseline for Text-based Person Search, Neurocomputing, 494(14): 171-181, 2022. (SCI: 2 区, CCF-C).

[25]. Guoqing Zhang, Hongwei Zhang, Yuhao Chen, Yuhui Zheng, Close-set Camera Style Distribution Alignment for Single Camera Person Re-Identification, Neurocomputing, 486(14): 93-103, 2022. (SCI: 2 区, CCF-C).

[24]. Guoqing Zhang, Yu Ge, Zhicheng Dong, Hao Wang, Yuhui Zheng, Shengyong Chen, Deep High-Resolution Representation Learning for Cross-Resolution Person Re-identification, IEEE Transactions on Image Processing, vol. 30, pp. 8913-8925, 2021. (SCI 1 区, CCF-A)

[23]. Guoqing Zhang, Junchuan Yang, Yuhui Zheng, Ye Wang*, Yi Wu, Shengyong Chen, Hybrid-Attention Guided Network with Multiple Resolution Features for Person Re-identification, Information Sciences, vol. 578, pp. 525-538, 2021. (SCI : 1 区, CCF-B)

[22]. Guoqing Zhang, Tong Jiang, Junchuan Yang, Jiang Xu, Yuhui Zheng, Cross-view Kernel Collaborative Representation Classification for Person Re-identification, Multimedia Tools and Applications, vol. 80, no. 13, 20687-20705, 2021. (SCI: 3 区)

[21]. Guoqing Zhang, Junchuan Yang, Yuhui Zheng, Zhiyuan Luo, Jinglin Zhang, Optimal Discriminative Feature and Dictionary Learning for Image Set Classification, Information Sciences, 2021, 574 (8): 498-513. (SCI : 1 区, CCF-B)

[20]. Guoqing Zhang, Fatih Porikli, Huaijiang Sun, Quansen Sun, Guiyu Xia, Cost-sensitive Joint Feature and Dictionary Learning for Face Recognition, Neurocomputing, 2020, 391 (28): 177-188. (SCI: 2区, CCF-C）

[19]. Guoqing Zhang, Huaijiang Sun, Yuhui Zheng, Guiyu Xia, Lei Feng, Quansen Sun, Optimal Discriminative Projection for Sparse Representation-based Classification via Bilevel Optimization, IEEE Transactions on Circuits and Systems for Video Technology, 2020, 30(4): 1065-1077. (SCI 1 区, CCF-B).

[18]. Yuhui Zheng, Xilong Wang, Guoqing Zhang*, Baihu Xiao, Fu Xiao, Jianwei Zhang, Multiple kernel Coupled Projections for Domain Adaptive Dictionary Learning, IEEE Transactions on Multimedia, 2019, 21(9): 2292-2304. (SCI 1区, *Corresponding author)

[17]. Guoqing Zhang, Yuhui Zheng, Guiyu Xia, Domain Adaptive Collaborative Representation based Classification, Multimedia Tools and Applications, 2019, 78(21): 30175-30196. (SCI)

[16]. Guiyu Xia, Huaijiang Sun, Beijia Chen, Qingshan Liu, Lei Feng, Guoqing Zhang, Renglong Hang, Nonlinear low-rank matrix completion for human motion recovery, IEEE Transactions on Image Processing, 2018, 27(6): 3011-3024. (SCI 1区, CCF-A)

[15]. Zhichao Zheng, Huaijiang Sun, Guoqing Zhang, Multiple kernel locality-constrained collaborative representation-based discriminant projection for face recognition, Neurocomputing, 2018, 318: 65-74. (SCI: 2区, CCF-C）

[14]. Menglan Xie, Zexuan Ji, Guoqing Zhang, Tao Wang, Quansen Sun, Mutually exclusive-K-SVD: Learning a discriminative dictionary for hyperspectral image classification, Neurocomputing, 2018, 315(13): 177-189. (SCI: 2区, CCF-C）

[13]. Beijia Chen, Huaijiang Sun, Lei Feng, Guiyu Xia, Guoqing Zhang, Robust image compressive sensing based on m-estimator and nonlocal low-rank regularization, Neurocomputing, 2018, 275: 586-597. (SCI: 2区, CCF-C）

[12]. Guoqing Zhang, Huaijiang Sun, Fatih Porikli, Yazhou Liu, Quansen Sun, Optimal Couple Projections for Domain Adaptive Sparse Representation-based Classification, IEEE Transactions on Image Processing, 2017, 26(12): 5922-5935. (SCI 1区, CCF-A)

[11]. Guiyu Xia, Huaijiang Sun, Xiaoqing Niu, Guoqing Zhang, Lei Feng, Keyframe extraction for human motion capture data based on joint kernel sparse representation, IEEE Transactions on Industrial Electronic, 2017, 64(2): 1589-1599. (SCI 1区)

[10]. Guiyu Xia, Huaijiang Sun, Lei Feng, Guoqing Zhang, Yazhou Liu, Human Motion Segmentation via Robust Kernel Sparse Subspace Clustering, IEEE Transactions on Image Processing, 2017, 27(1): 135-150. (SCI 1区, CCF-A)

[9]. Hongkun Ji, Quansen Sun, Yunhao Yuan, Zexuan Ji, Guoqing Zhang, Lei Feng, Dual structural consistency based multi-modal correlation propagation projections for data representation, Multimedia Tools and Applications, 2017, 76(20): 20909-20933. (SCI)

[8]. Hongkun Ji, Quansen Sun, Zexuan Ji, Yunhao Yuan, Guoqing Zhang, Collaborative probabilistic labels for face recognition from single sample per person, Pattern Recognition, 2017, 62: 125-134. (SCI 2区, CCF-B)

[7]. Guoqing Zhang, Huaijiang Sun, Guiyu Xia, Quansen Sun, Multiple kernel sparse representation based orthogonal discriminative projection and its cost-sensitive extension, IEEE Transactions on Image Processing, 2016, 25(9): 4271-4285. (SCI 1区, CCF-A)

[6]. Guiyu Xia, Huaijiang Sun, Guoqing Zhang, Lei Feng, Human motion recovery jointly utilizing statistical and kinematic information, Information Sciences, 2016, 339: 189-205. (SCI : 1区, CCF-B)

[5]. Guoqing Zhang, Huaijiang Sun, Zexuan Ji, Yun-hao Yuan, Quansen Sun, Cost-sensitive dictionary learning for face recognition, Pattern Recognition, 2016, 60: 613-629. (SCI 2区, CCF-B)

[4]. Guoqing Zhang, Huaijiang Sun, Guiyu Xia, Quansen Sun, Kernel collaborative representation based dictionary learning and discriminative projection, Neurocomputing, 2016, 207: 300-309. (SCI)

[3]. Guoqing Zhang, Huaijiang Sun, Zexuan Ji, Guiyu Xia, Lei Feng, Quansen Sun, Kernel dictionary learning based discriminant analysis, Journal of Visual Communication and Image Representation, 2016, 40: 470-484. (SCI)

[2]. Guoqing Zhang, Huaijiang Sun, Zexuan Ji, Quansen Sun, Label Propagation based on collaborative representation for face recognition, Neurocomputing, 2016, 171: 1193-1024. (SCI)

[1]. Yunhao Yuan, Yun Li, Jianjun Liu, Chaofeng Li, Xiaobo Shen, Guoqing Zhang, Quansen Sun, Learning multi-kernel multi-view canonical correlations for image recognition, Computational Visual Media, 2016, 2(2): 153-162. (SCI)

Conferences:

[5] Guoqing Zhang, Zhiyuan Luo, Weisi Lin*, Xuan Jing, Inter-Intra Camera Identity Learning for Person Re-Identification with Training in Single Camera, Proceedings of the IEEE International Confere nce on Multimedia and Expo (ICME), 2023. (Accepted, CCF B 类会议)

[4] Yuhao Chen(学生), Guoqing Zhang*, Hongwei Zhang, Yuhui Zheng, Weisi Lin, Multi-level Part-aware Feature Disentangling for Text-based Person Search, Proceedings of the IEEE International Confere nce on Multimedia and Expo (ICME), 2023. (Accepted, CCF B 类会议)

[3] Guoqing Zhang, Jie Liu, Yuhao Chen, Yuhui Zheng, Hongwei Zhang. Multi-biometric Unified Network for Cloth-changing Person Re-Identification, Proceedings of the IEEE International Conference on Multimedia and Expo (ICME), 2022. (Oral, CCF B 类会议)

[2] Guoqing Zhang, Yuhao Chen, Yang Dai, Yuhui Zheng, Yi Wu, Reference-Aided Part-Aligned Feature Disentangling for Video Person Re-identification, Proceedings of the IEEE International Conference on Multimedia and Expo (ICME), 2021, pp. 1-6. (CCF-B类会议).

[1] Guoqing Zhang, Yuhao Chen, Weisi Lin*, Arun Kumar Chandran, Jing Xuan, Low Resolution Information Also Matters: Learning Multi-Resolution Representation for Person Re-identification, Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2021, pp. 1295-1301. (CCF-A类会议, 13.9% acceptance rate).

科研项目：

  • 国家自然科学基金委，国家自然科学基金联合基金重点支持类项目，数据与知识驱动的无人自主多源目标与最优驾驶行为协同识别方法，2023/01-2026/12. (南京信息工程大学方主要负责人)

  • 社会安全图像与视频理解江苏省重点实验室开放基金, 2023/01-2024/12，在研，主持

  • 江苏省科技厅，江苏省基础研究计划——优秀青年基金,BK20220107,2022/07-2025/06，在研，主持

  • 国家自然科学基金委，国家自然科学基金(面上项目)，62172231，多场景跨视域视频监控行人重识别研究, 2022/01-2025/12，在研，主持

  • 国家自然科学基金委，国家自然科学基金(青年基金)，61806099，基于稀疏表示分类准则的领域适应特征学习方法研究，2019/01-2021/12，主持，已结题

  • 江苏省科技厅，江苏省自然科学基金(青年基金)，BK20180790，面向领域适应的特征提取与字典学习方法研究，2018/07-2021/06，主持，已结题(优秀)

  • 江苏省教育厅，江苏省高校自然科学基金面上项目，已结题

申请发明专利：

[1] 张国庆，蒋同， 一种基于跨视图核协同表示的行人再识别方法. 发明专利，申请号：202010141525.2.

[2] 张国庆，陈裕豪，一种基于行人再识别的病例活动轨迹检测方法，发明专利，公布号：CN 112580525 A.

[3] 陈裕豪，张国庆，一种基于局部特征感知图文跨模态模型的行人识别方法和模型的训练方法，公布号：CN 112580525 A.

[4] 张国庆，张银寅，一种多粒度特征利用的跨模态行人重识别方法，申请号：202210550601.4

指导学生获奖情况：

陈裕豪，第十三届蓝桥杯全国软件和信息技术专业人才大赛江苏采取C/C++程序设计研究生组二等奖

陈裕豪，江北新区首届“科创江北、搏动未来”高价值专利培育大赛一等奖，2020

江北新区第二届“科创江北、搏动未来”高价值专利培育大赛二等奖1项，三等奖三项，2021

葛宇，2022届本科优秀毕业设计(论文)二等奖

王昊，2022届本科优秀毕业设计(论文)三等奖

陈裕豪、张宏伟 2022年研究生国家奖学金


教育经历

[1]   2012.9- 2017.6

南京理工大学  |  模式识别与智能系统  |  工学博士  |  博士研究生毕业

工作经历

[1]   2015.10- 2015.11

澳大利亚国立大学  |  计算机工程学院  |  联合培养博士

[2]   2017.7- 2021.4

南京信息工程大学  |  计算机与软件学院  |  教师

[3]   2018.12- 2022.3

新加坡南洋理工大学  |  计算机科学与工程学院  |  博士后

社会兼职

  • [1]   江苏省人工智能学会会员，IEEE会员
    长期担任以下期刊审稿人:
    IEEE Transacctions on Pattern Analysis and Machine Intelligence (TPAMI)
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
    IEEE Transactions on Information Forensics and Security (TIFS)
    Information Sciences
    IEEE TIP
    Neurocomputing
    Pattern Recognition
    Journal of Visual Communication and Image Representation
    会议评审人：
    IEEE International Conference on Image Processing (IEEE ICIP)

研究方向

  • [1]   行人重识别 领域适应学习 人脸识别 特征提取

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