张健，博士，北京大学深圳研究生院助理教授/研究员、博士生导师，深圳市海外高层次人才。哈尔滨工业大学数学与应用数学理学学士（2007）、计算机科学与技术工学硕士（2009）及计算机应用工学博士（2014），并分别在北京大学、香港科技大学和沙特国王科技大学做博士后访问研究。主要从事图像处理与计算机视觉方面的基础理论和应用研究，在在SPM/TPAMI/TIP/CVPR/ECCV/ICCV等高水平国际期刊会议上发表论文90余篇，Google Scholar引用超过3700次，SCI他引超过1700次（其中单篇第一作者期刊论文Google Scholar最高引用超过600次；单篇第一作者会议论文Google Scholar最高引用超过500次）。相关研究成果申请中国专利10余项。获得IEEE视觉通讯与图像处理（VCIP）国际会议2011年度最佳论文奖以及该国际会议2015年度最佳学生论文奖、IEEE多媒体IEEE MultiMedia国际期刊2018年度最佳论文奖、中国多媒体大会ChinaMM 2021年度最佳论文奖、深圳市科学技术协会2021年优秀自然科学学术论文奖（共16篇，信息领域唯一1篇）、深圳市海外高层次人才、2020及2021连续两年入选人工智能与图像处理领域全球前2%顶尖科学家“年度影响力”榜单。

欢迎优秀的本科生和硕士生保送和报考bwin必赢的硕士和博士研究生，课题组博士后职位也已开放，更多招生、实习以及科研最新信息请查看个人主页： https://jianzhang.tech/ 以及实验室主页 https://villa.jianzhang.tech/ 。

1. Jian Zhang, Bin Chen, Ruiqin Xiong, Yongbing Zhang. Physics-Inspired Compressive Sensing: Beyond Deep Unrolling. IEEE Signal Processing Magazine (SPM), 2022. (SCI, 信号处理领域旗舰期刊，2021影响因子：15.204)

2. Chong Mou, Jian Zhang#. TransCL: Transformer Makes Strong and Flexible Compressive Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. (SCI, 图像处理领域顶级期刊，2021影响因子：24.314)

3. Bin Chen, Jian Zhang#. Content-aware Scalable Deep Compressed Sensing. IEEE Transactions on Image Processing (TIP), 2022. (SCI, 图像处理领域顶级期刊，2021影响因子：11.041)

4. Jian Zhang#, Zhenyu Zhang, Jingfen Xie, Yongbing Zhang. High-Throughput Deep Unfolding Network for Compressive Sensing MRI. IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2022. (SCI, 信号处理领域顶级期刊，2021影响因子：7.695)

5. Di You, Jian Zhang#, Jingfen Xie, Bin Chen, Siwei Ma. COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing. IEEE Transactions on Image Processing (TIP), 2021. (SCI, 图像处理领域顶级期刊，2021影响因子：11.041)

6. Jian Zhang#, Chen Zhao, Wen Gao. Optimization-Inspired Compact Deep Compressive Sensing. IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2020. (SCI, 信号处理领域顶级期刊，2021影响因子：7.695，Google Scholar引用38次)

7. Jian Zhang#, Bernard Ghanem. ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. (EI, 计算机视觉与模式识别领域顶级国际会议，Google Scholar引用539次)

8. Jian Zhang#, Ruiqin Xiong, Chen Zhao, Yongbing Zhang, Siwei Ma, Wen Gao. CONCOLOR: COnstrained Non-COnvex LOw-Rank Model for Image Deblocking. IEEE Transactions on Image Processing (TIP), 2016. (SCI, 图像处理领域顶级期刊，2021影响因子：11.041，Google Scholar引用112次)

9. Jian Zhang#, Debin Zhao, Wen Gao. Group-based Sparse Representation for Image Restoration. IEEE Transactions on Image Processing (TIP), 2014. (SCI, 图像处理领域顶级期刊，2021影响因子：11.041，Google Scholar引用609次)

10. Jian Zhang#, Debin Zhao, Ruiqin Xiong, Siwei Ma, Wen Gao. Image Restoration Using Joint Statistical Modeling in a Space-Transform Domain. IEEE Transactions on Circuits Systems and Video Technology (TCSVT), 2014. (SCI, 视频处理领域顶级期刊，2021影响因子：5.859，Google Scholar引用160次)

11. Jian Zhang, Debin Zhao, Chen Zhao, Ruiqin Xiong, Siwei Ma, Wen Gao. Image Compressive Sensing Recovery via Collaborative Sparsity. IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), 2012. (SCI, 信号处理领域知名期刊，2021影响因子：5.877，Google Scholar引用158次)

12. Mengxi Jia, Xinhua Cheng, Yunpeng Zhai, Shijian Lu, Siwei Ma, Jian Zhang#. Matching on Sets: Conquer Occluded Person Re-Identification Without Alignment. AAAI Conference on Artificial Intelligence (AAAI), 2021. (EI, 人工智能领域顶级国际会议)

13. Mengxi Jia, Yunpeng Zhai, Shijian Lu, Siwei Ma, Jian Zhang#. A Similarity Inference Metric for RGB-Infrared Cross-Modality Person Re-identification. International Joint Conference on Artificial Intelligence (IJCAI), 2020. (EI, 人工智能领域顶级国际会议)

14. Chong Mou, Jian Zhang#, Xiaopeng Fan, Hangfan Liu, Ronggang Wang. COLA-Net: Collaborative Attention Network for Image Restoration. IEEE Transactions on Multimedia (TMM), 2021. (SCI, 多媒体领域顶级期刊，2021影响因子：8.182)

15. Jing Zhao, Ruiqin Xiong#, Hangfan Liu, Jian Zhang, Tiejun Huang. Spk2ImgNet:Learning to Reconstruct Dynamic Scene from Continuous Spike Stream. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. (EI, 计算机视觉与模式识别领域顶级国际会议)

16. Hangfan Liu, Jian Zhang#, Ruiqin Xiong. CAS: Correlation Adaptive Sparse Modeling for Image Denoising. IEEE Transactions on Computational Imaging (TCI), 2021. (SCI, 计算成像领域顶级期刊，2021影响因子：4.708)

17. Jiechong Song, Bin Chen, Jian Zhang#. Memory-Augmented Deep Unfolding Network for Compressive Sensing. ACM International Conference on Multimedia (ACM MM), 2021. (EI, 多媒体领域顶级国际会议)

18. Jing Zhao, Jiyu Xie, Ruiqin Xiong#, Jian Zhang, Zhaofei Yu, Tiejun Huang. Super Resolve Dynamic Scene from Continuous Spike Streams. International Conference on Computer Vision (ICCV), 2021. (EI, 计算机视觉领域顶级国际会议)

19. Chong Mou, Jian Zhang#, Zhuoyuan Wu. Dynamic Attentive Graph Learning for Image Restoration. International Conference on Computer Vision (ICCV), 2021. (EI, 计算机视觉领域顶级国际会议)

20. Zhuoyuan Wu, Jian Zhang#, Chong Mou. Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Sensing. International Conference on Computer Vision (ICCV), 2021. (EI, 计算机视觉领域顶级国际会议)

21. Jianhui Chang, Zhenghui Zhao, Chuanmin Jia, Shiqi Wang, Lingbo Yang, Jian Zhang#, Siwei Ma#. Conceptual Compression via Deep Structure and Texture Synthesis. IEEE Transactions on Image Processing (TIP), 2022. (SCI, 图像处理领域顶级期刊，2021影响因子：11.041)

22. Mengxi Jia, Xinhua Cheng, Shijian Lu, Jian Zhang#. Learning Disentangled Representation Implicitly via Transformer for Occluded Person Re-Identification. IEEE Transactions on Multimedia (TMM), 2022. (SCI, 多媒体领域顶级期刊，2021影响因子：8.182)

23. Jingfen Xie, Jian Zhang#, Yongbing Zhang, Xiangyang Ji. PUERT: Probabilistic Under-sampling and Explicable Reconstruction Network for CS-MRI. IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2022. (SCI, 信号处理领域顶级期刊，2021影响因子：7.695)

24. Yinhuai Wang, Yujie Hu, Jian Zhang#. Panini-Net: GAN Prior based Degradation-Aware Feature Interpolation for Face Restoration. AAAI Conference on Artificial Intelligence (AAAI), 2022. (EI, 人工智能领域顶级国际会议)

25. Chong Mou, Qian Wang, Jian Zhang#. Deep Generalized Unfolding Networks for Image Restoration. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (EI, 计算机视觉领域顶级国际会议)

26. Xuanyu Zhang, Yongbing Zhang, Ruiqin Xiong, Qilin Sun, Jian Zhang#. HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (EI, 计算机视觉领域顶级国际会议)

27. Youmin Xu, Chong Mou, Yujie Hu, Jingfen Xie, Jian Zhang#. Robust Invertible Image Steganography. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (EI, 计算机视觉领域顶级国际会议)

1、《计算机视觉》（选修）

2、《算法分析与复杂性理论》（必修）

1、优化启发下可解释深度神经网络及其在图像重建中应用

2、优化启发式高效可解释神经网络架构设计

3、面向AI超算的计算机视觉算法库

4、面向复杂场景机器人高效作业的混合增强智能项目

1、专业范围：计算机/软件工程/人工智能等相关学科；

2、外语/数学能力：英语六级、雅思、托福；

3、研究/开发能力：熟练的程序设计能力，具有一定的探索能力和创新精神；

4、其他要求：对做科研工作有热情、有兴趣。