个人简历

张健，博士，北京大学信息工程学院助理教授，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。
已在TIP、TCSVT、TMM、CVPR、DCC等高水平国际期刊和会议上发表SCI/EI收录论文50余篇。个人Google学术检索引用已超过1900次，其中单篇最高引用超过390次。获得国际期刊IEEE MultiMedia 2018最佳论文奖，哈尔滨工业大学第十七届优秀博士学位论文，2015年度ACM中国哈尔滨分会优秀博士论文奖，2011年度本领域重要国际会议IEEE VCIP最佳论文奖以及2015年度IEEE VCIP最佳学生论文奖。目前被邀请担任包括TPAMI和TIP等16个国际期刊的审稿人以及担任CVPR、ECCV、NIPS、ACCV、AAAI、ICML等国际会议PC成员。
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。
Education
Ph.D. Degree in Technology of Computational Application
Harbin Institute of Technology, from 2009 to 2014
M. E. Degree in Computer Science and Technology
Harbin Institute of Technology, from 2007 to 2009
B. S. Degree in Applied Mathematics
Harbin Institute of Technology, from 2003 to 2007
Research Experiences
Postdoctoral Fellow
King Abdullah University of Science and Technology (KAUST), from 2016 to 2018
Postdoctoral Fellow
Peking University (PKU) , from 2014 to 2016
Research Assistant
National Eng. Lab for Video Technology (NELVT), Peking University, from 2009 to 2013
Research Assistant
Joint Research & Development Lab (JDL) , Chinese Academy of Science, from 2008 to 2009
Codes
Optimization-Inspired Compact Deep Compressive Sensing 2020 [PyTorch]
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing 2018 [Tensorflow] [PyTorch]
Video Compressive Sensing Reconstruction via Reweighted Residual Sparsity 2017 [Download]
Reducing Image Compression Artifacts by Structural Sparse Representation and Quantization Constraint Prior 2017 [Download]
CONCOLOR: COnstrained Non-COnvex LOw-Rank Model for Image Deblocking 2016 [Download]
Entropy of Primitive: From Sparse Representation to Visual Information Evaluation 2016 [Download]
CCR: Clustering and Collaborative Representation for Fast Single Image Super-Resolution 2016 [Download]
Image Denoising via Adaptive Soft-Thresholding Based on Non-Local Samples 2015 [Download]
Group-based Sparse Representation for Image Restoration 2014 [Download]
Image Restoration Using Joint Statistical Modeling in Space-Transform Domain 2014 [Download]
Structural Group Sparse Representation for Image Compressive Sensing Recovery 2013 [Download]
Spatially Directional Predictive Coding for Block-based Compressive Sensing of Natural Images 2013 [Download]
Image Compressive Sensing Recovery Using Adaptively Learned Sparsifying Basis via L0 Minimization 2014 [Download]
Improved Total Variation based Image Compressive Sensing Recovery by Nonlocal Regularization 2013 [Download]
Image Compressive Sensing Recovery via Collaborative Sparsity 2012 [Download]
Image Super-Resolution via Dual-Dictionary Learning and Sparse Representation 2012 [Download]
Fast and Effective Interpolation Using Median Filter 2009 [Download]
Professional Activities
-Reviewers
Circuits, Systems & Signal Processing (since September 2014)
IEEE Sensors Journal (since May 2013)
IEEE Signal Processing Letter (since July 2014)
IEEE Transactions on Circuits System and Video Technology (since Febuary 2015)
IEEE Transactions on Image Processing (since July 2014)
IEEE Transactions on Multimedia (since September 2016)
IEEE Transactions on Pattern Analysis and Machine Intelligence (since March 2018)
IET Image Processing (since May 2014)
Journal of Electronic Imaging (since Feburary 2018)
Journal of Visual Communication and Image Representation (since April 2013)
KSII Transactions on Internet and Information Systems (since August 2015)
Neural Computing and Application (Since March 2017)
Neurocomputing (since January 2016)
Signal Processing (since July 2013)
Signal Processing: Image Communication (since June 2014)
The Visual Computer (Since May 2017)
CVPR, ECCV, ICML, NIPS
-Journal Impact Factor (IF) 2018:
ACM Transactions on Graphics (IF: 6.495)
IEEE Journal of Selected Topics in Signal Processing (IF: 6.688)
IEEE Journal on Emerging and Selected Topics in Circuits and Systems (IF: 3.433)
IEEE Transactions on Circuits System and Video Technology (IF: 4.046)
IEEE Transactions on Cybernetics (IF: 10.387)
IEEE Transactions on Image Processing (IF: 6.79)
IEEE Transactions on Multimedia (IF: 5.452)
IEEE Transactions on Systems, Man, and Cybernetics: Systems (IF: 7.351)
Signal Processing (IF: 4.086)
Signal Processing: Image Communication (IF: 2.814)
Scientific Reports (IF: 4.011)
-Memberships
Member, IEEE
Member, CCF
Awards
Best Paper Award (IEEE MultiMedia) 2018
Best Student Paper Award at IEEE Visual Communications and Image Processing (VCIP) 2015
Excellent Ph.D. Thesis Award, Harbin Section, ACM China 2015
Excellent Ph.D. Thesis Award, Harbin Institute of Technology 2015
Best Student Paper Award in School of Computer Science and Technology (HIT) 2013
National Scholarship, Harbin Institute of Technology (HIT) 2012
Outstanding Individual Award in NELVT (2012)
Best Student Paper Award in School of Computer Science and Technology (HIT) 2012
First Prize of Qualcomm Innovation Fellowship (QInF) 2012
Outstanding Individual Award in NELVT (2011)
Best Paper Award at IEEE Visual Communications and Image Processing (VCIP) 2011

研究领域

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"Research Areas
Intelligent Multimedia Compression and Reconstruction
Deep Learning and Optimization
Computer Vision"

近期论文

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), vol. 23, no. 8, pp. 3336-3351, Aug. 2014. (SCI, 图像处理领域顶级期刊，2018影响因子：6.79，Google Scholar引用391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), vol. 24, no. 6, pp. 915-928, Jun. 2014. (SCI, 视频处理领域顶级期刊，2018影响因子：4.046，Google Scholar引用126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), vol. 2, no. 3, pp. 380–391, Sep. 2012. (SCI, 信号处理领域知名期刊，2018影响因子：3.433，Google Scholar引用117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), vol.103, pp. 114-126, Oct. 2014. (SCI, 信号处理领域知名期刊，2018影响因子：4.086，Google Scholar引用102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), vol. 25, no. 3, pp. 1246-1259, Mar. 2016. (SCI, 图像处理领域顶级期刊，2018影响因子：6.79，Google Scholar引用56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), Jun. 2018. (EI, 计算机视觉与模式识别领域顶级国际会议，Google Scholar引用74次)
7. Chen Zhao, Jian Zhang, Siwei Ma, Xiaopeng Fan, Yongbing Zhang, Wen Gao. Reducing Image Compression Artifacts by Structural Sparse Representation and Quantization Constraint Prior. IEEE Transactions on Circuits Systems and Video Technology (TCSVT), vol. 27, no. 10, pp. 2057-2071, Oct. 2017. (SCI, 视频处理领域顶级期刊，2018影响因子：4.046，Google Scholar引用33次)
8. Yang Liu, Mengxi Guo, Jian Zhang, Yuesheng Zhu, Xiaodong Xie. A Novel Two-stage Separable Deep Learning Framework for Practical Blind Watermarking. ACM International Conference on Multimedia (ACM MM 2019), Oct. 2019. (EI, 多媒体领域顶级国际会议，Google Scholar引用1次)
9. Qilin Sun, Jian Zhang, Xiong Dun, Bernard Ghanem, Yifan Peng, Wolfgang Heidrich. End-to-End Learned, Optically Coded Super-resolution SPAD Camera. ACM Transactions on Graphics (TOG), vol. 39, no. 2, Jan. 2020. (SCI, 多媒体领域顶级期刊，2018影响因子：6.495)
10. Jian Zhang, Chen Zhao, Wen Gao. Optimization-Inspired Compact Deep Compressive Sensing. IEEE Journal of Selected Topics in Signal Processing (JSTSP), DOI 10.1109/ JSTSP.2020.2977507, Feb. 2020. (SCI, 信号处理领域顶级期刊，2018影响因子：6.688)