• 张健

  • 职称:助理教授

  • 电话:0755-26034053  (办公室:A309)

  • Email:zhangjian.sz@pku.edu.cn; zhangjian@pkusz.edu.cn

  • 个人主页:https://jianzhang.tech/ (查看最新招生及科研信息)

  • 实验室网站:http://villa.jianzhang.tech/

研究方向:1、多媒体信息智能处理 2、深度神经网络设计 3、计算机视觉

导师与研究领域、方向:

张健,博士,北京大学深圳研究生院助理教授/副研究员、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、计算机科学与技术工学硕士及计算机应用工学博士,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,相关研究成果在高水平国际期刊IEEE TIP/JSTSP/TMM/TCI、ACM TOG和高水平国际会议CVPR/ICCV/AAAI/IJCAI/ACMMM/DCC等发表SCI/EI检索论文70余篇。个人Google学术检索引用已超过2700次,其中单篇一作最高引用超过500次。曾获国际会议VCIP2011最佳论文奖、VCIP2015最佳学生论文奖、国际期刊IEEE MultiMedia2018最佳论文奖、入选人工智能与图像处理领域2020年全球前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北京大学信息工程学院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/

近年来有代表性的文章: 

1. 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,2020影响因子:10.856,Google Scholar引用509次)

2. 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,2020影响因子:4.685,Google Scholar引用152次)

3. 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,2020影响因子:3.916,Google Scholar引用149次)

4. Jian Zhang, Chen Zhao, Debin Zhao, and Wen Gao. Image Compressive Sensing  Recovery Using Adaptively Learned Sparsifying Basis via L0 Minimization. Signal Processing (SP), 2014. (SCI, 信号处理领域知名期刊,2020影响因子:4.662,Google Scholar引用127次)

5. 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,2020影响因子:10.856,Google Scholar引用88次)

6. 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257次)

7. 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,2020影响因子:6.856,Google Scholar引用7次)

8. 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)

9. 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,Google Scholar引用7次)

10. 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,2020影响因子:6.513)

11. 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)

12. 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,2020影响因子:3.49)

13. 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,2020影响因子:10.856)

14. 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)

15. 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)

16. 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)

17. 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)

开设课程

1、《计算机视觉》(选修)

2、《算法分析与复杂性理论》(必修)

主持/参与的主要科研项目:

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、基于压缩感知理论的图像采样、编码和重建研究

3、基于内容分析的高效视频编码

对计划招收研究生的基本要求:

1、专业范围:计算机科学技术、数学、电子信息技术、其他相关学科;

2、外语/数学能力:英语六级;

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。