Assistant Professor (助理教授/研究员/博士生导师)

Visual-Information Intelligent Learning LAB (VILLA 课题组)
School of Electronic and Computer Engineering
Shenzhen Graduate School | Peking University (PKU)
Shenzhen, Guangdong, China

Email: zhangjian.sz@pku.edu.cn

Homepage: https://jianzhang.tech

[Google Scholar] [Github]

[Openings]【2022招收硕士/博士研究生/访问学生/博士后申请须知】 new

Recent News

  • 2022/09 - 1 paper accepted to SPM!
  • 2022/08 - 1 paper accepted to TNNLS!
  • 2022/07 - 1 paper accepted to TPAMI!
  • 2022/07 - 1 paper accepted to TIP!
  • 2022/07 - 1 paper accepted to TNNLS!
  • 2022/07 - 2 papers accepted to ECCV 2022!
  • 2022/07 - 2 papers accepted to ACM MM 2022!
  • 2022/06 - 1 paper accepted to MICCAI 2022!
  • 2022/05 - 1 paper accepted to TCSVT!
  • 2022/05 - 1 paper accepted to TMM!
  • 2022/04 - 2 papers accepted to JSTSP!
  • 2022/03 - 3 papers accepted to CVPR 2022!
  • 2022/03 - 1 paper accepted to TIP!
  • 2022/01 - 1 paper accepted to TMM!
  • 2021/12 - 1 paper accepted to TCSVT!
  • 2021/11 - 2 papers accepted to AAAI 2022!

Biography

Dr. Jian Zhang is an Assistant Professor (Ph.D. Supervisor) at the School of Electronic and Computer Engineering (SECE), Peking University Shenzhen Graduate School, Shenzhen, China. He is now leading the Visual-Information Intelligent Learning LAB (VILLA). He is also a visiting scholar at Peng Cheng Laboratory.

His research interests include intelligent multimedia processing, computer vision and optimization. He has published over 80 technical articles in refereed international journals and proceedings, with more than 3000 citations [Google Scholar]. His SECE webpage in Chinese is here [中文主页].

He received the B.S. degree from the Department of Mathematics, Harbin Institute of Technology (HIT), Harbin, China, in 2007, and received his M.Eng. and Ph.D. degrees (under the supervision of Prof. Debin Zhao) from the School of Computer Science and Technology, HIT, in 2009 and 2014, respectively. From 2014 to 2018, he worked as a postdoctoral researcher at Peking University (PKU) (cooperated with Prof. Wen Gao), Hong Kong University of Science and Technology (HKUST) (cooperated with Prof. Xiaopeng Fan), and King Abdullah University of Science and Technology (KAUST) (cooperated with Prof. Bernard Ghanem).

张健，北京大学信息工程学院助理教授/研究员、博士生导师，深圳市海外高层次人才。分别于2007年、2009年、2014年获得哈尔滨工业大学（HIT）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。2014-2018年期间先后在北京大学(PKU)、香港科技大学(HKUST)和沙特阿卜杜拉国王科技大学(KAUST)做博士后访问研究。目前，他负责视觉信息智能学习课题组(Visual-Information Intelligent Learning LAB，简称 VILLA )。他也是 鹏城实验室 的访问学者。

主要从事图像表示重建与计算机视觉方面的基础理论和应用研究，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3728次，H-index值为29，SCI他引超过1800次（其中单篇第一作者期刊论文 Google Scholar最高引用600次；单篇第一作者会议论文Google Scholar最高引用510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）、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/ 以及实验室主页： https://villa.jianzhang.tech/ 。

Research Areas

  • Intelligent Multimedia Processing
  • Deep Learning and Optimization
  • Computer Vision

Papers in Reverse Chronological Order

2022

[1]
Physics-Inspired Compressive Sensing: Beyond Deep Unrollingalt new
Jian Zhang, Bin Chen, Ruiqin Xiong, Yongbing Zhang
IEEE Signal Processing Magazine (SPM), 2022.
[Cite]
[2]
Contrastive Unfolding Deraining Network alt new
Zihong Huang, Jian Zhang
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022.
[Cite]
[3]
TransCL: Transformer Makes Strong and Flexible Compressive Learning alt new
Chong Mou, Jian Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
[PDF] [Code] [Cite]
[4]
Content-aware Scalable Deep Compressed Sensing alt new
Bin Chen, Jian Zhang
IEEE Transactions on Image Processing (TIP), 2022.
[PDF] [Code] [Cite]
[5]
Hierarchical Similarity Learning for Aliasing Suppression Image Super-Resolution alt new
Yuqing Liu, Qi Jia, Jian Zhang, Xin Fan, Shanshe Wang, Siwei Ma, Wen Gao
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022.
[PDF] [Cite]
[6]
Metric Learning based Interactive Modulation for Real-World Super-Resolution alt new
Chong Mou, Yanze Wu, Xintao Wang, Chao Dong, Jian Zhang, Ying Shan
European Conference on Computer Vision (ECCV), 2022.
[PDF] [Code] [Cite]
[7]
R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning
Qiankun Gao, Chen Zhao, Bernard Ghanem, Jian Zhang
European Conference on Computer Vision (ECCV), 2022.
[PDF] [Code] [Cite]
[8]
Consistency-Contrast Learning for Conceptual Coding
Jianhui Chang, Jian Zhang, Youmin Xu, Jiguo Li, Siwei Ma, Wen Gao
ACM International Conference on Multimedia (ACM MM), 2022.
[Cite]
[9]
More is better: Multi-source Dynamic Parsing Attention for Occluded Person Re-identification
Xinhua Cheng, Mengxi Jia, Qian Wang, Jian Zhang
ACM International Conference on Multimedia (ACM MM), 2022.
[Cite]
[10]
Multiple Instance Learning with Mixed Supervision in Gleason Grading
Hao Bian, Zhuchen Shao, Yang Chen, Yifeng Wang, Haoqian Wang, Jian Zhang, Yongbing Zhang
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022.
[PDF] [Code] [Cite]
[11]
A Simple Visual-Textual Baseline for Pedestrian Attribute Recognition
Xinhua Cheng, Mengxi Jia, Qian Wang, Jian Zhang
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022.
[PDF] [Code] [Cite]
[12]
DREAMT: Diversity Enlarged Mutual Teaching for Unsupervised Domain Adaptive Person Re-Identification
Yusheng Tao, Jian Zhang, Jiajing Hong, Yuesheng Zhu
IEEE Transactions on Multimedia (TMM), 2022.
[PDF] [Cite]
[13]
High-Throughput Deep Unfolding Network for Compressive Sensing MRI
Jian Zhang, Zhenyu Zhang, Jingfen Xie, Yongbing Zhang
IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2022.
[PDF] [Code] [Cite]
[14]
PUERT: Probabilistic Under-sampling and Explicable Reconstruction Network for CS-MRI
Jingfen Xie, Jian Zhang, Yongbing Zhang, Xiangyang Ji
IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2022.
[PDF] [Code] [Cite]
[15]
Conceptual Compression via Deep Structure and Texture Synthesis
Jianhui Chang, Zhenghui Zhao, Chuanmin Jia, Shiqi Wang, Lingbo Yang, Jian Zhang, Siwei Ma
IEEE Transactions on Image Processing (TIP), 2022.
[PDF] [Code] [Cite]
[16]
Deep Generalized Unfolding Networks for Image Restoration
Chong Mou, Qian Wang, Jian Zhang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[PDF] [Code] [Cite]
[17]
HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging
Xuanyu Zhang, Yongbing Zhang, Ruiqin Xiong, Qilin Sun, Jian Zhang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[PDF] [Code] [Cite]
[18]
Robust Invertible Image Steganography
Youmin Xu, Chong Mou, Yujie Hu, Jingfen Xie, Jian Zhang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[Cite]
[19]
Learning Disentangled Representation Implicitly via Transformer for Occluded Person Re-Identification
Mengxi Jia*, Xinhua Cheng*, Shijian Lu, Jian Zhang, (*Equally Contributed)
IEEE Transactions on Multimedia (TMM), 2022.
[PDF] [Cite]
[20]
MRDFlow: Unsupervised Optical Flow Estimation Network With Multi-Scale Recurrent Decoder
Rui Zhao, Ruiqin Xiong, Ziluo Ding, Xiaopeng Fan, Jian Zhang, Tiejun Huang
IEEE Transactions on Circuits Systems and Video Technology (TCSVT), 2022.
[PDF] [Cite]
[21]
Panini-Net: GAN Prior based Degradation-Aware Feature Interpolation for Face Restoration
Yinhuai Wang, Yujie Hu, Jian Zhang
AAAI Conference on Artificial Intelligence (AAAI), 2022.
[PDF] [Code] [Cite]
[22]
Unpaired Multi-Domain Stain Transfer for Kidney Histopathological Images
Yiyang Lin*, Bowei Zeng*, Yifeng Wang*, Yang Chen, Zijie Fang, Jian Zhang, Xiangyang Ji, Haoqian Wang, Yongbing Zhang, (*Equally Contributed)
AAAI Conference on Artificial Intelligence (AAAI), 2022.
[PDF] [Code] [Cite]

2021

[1]
CAS: Correlation Adaptive Sparse Modeling for Image Denoising
Hangfan Liu, Jian Zhang, Ruiqin Xiong
IEEE Transactions on Computational Imaging (TCI), 2021.
[Cite]
[2]
COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing
Di You, Jian Zhang, Jingfen Xie, Bin Chen, Siwei Ma
IEEE Transactions on Image Processing (TIP), 2021.
[PDF] [Code] [Cite]
[3]
COLA-Net: Collaborative Attention Network for Image Restoration
Chong Mou, Jian Zhang, Xiaopeng Fan, Hangfan Liu, Ronggang Wang
IEEE Transactions on Multimedia (TMM), 2021.
[Project] [Code] [Cite]
[4]
Iterative Network for Image Super-Resolution
Yuqing Liu, Shiqi Wang, Jian Zhang, Shanshe Wang, Siwei Ma, Wen Gao
IEEE Transactions on Multimedia (TMM), 2021.
[PDF] [Cite]
[5]
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
Zhuchen Shao, Hao Bian, Yang Chen, Yifeng Wang, Jian Zhang, Xiangyang Ji, Yongbing Zhang
Advances in Neural Information Processing Systems (NeurIPS), 2021.
[PDF] [Cite]
[6]
Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Sensing
Zhuoyuan Wu, Jian Zhang, Chong Mou
International Conference on Computer Vision (ICCV), 2021.
[PDF] [Code] [Cite]
[7]
Dynamic Attentive Graph Learning for Image Restoration
Chong Mou, Jian Zhang, Zhuoyuan Wu
International Conference on Computer Vision (ICCV), 2021.
[PDF] [Code] [Cite]
[8]
Super Resolve Dynamic Scene from Continuous Spike Streams
Jing Zhao, Jiyu Xie, Ruiqin Xiong, Jian Zhang, Zhaofei Yu, Tiejun Huang
International Conference on Computer Vision (ICCV), 2021.
[PDF] [Cite]
[9]
Memory-Augmented Deep Unfolding Network for Compressive Sensing
Jiechong Song, Bin Chen, Jian Zhang
ACM International Conference on Multimedia (ACM MM), 2021.
[PDF] [Cite]
[10]
Expressive and Compressive GAN Inversion Network
Youmin Xu, Jian Zhang
IEEE International Conference on Image Processing (ICIP), 2021.
[PDF] [Cite]
[11]
Dynamic Multi-Domain Translation Network For Single Image Deraining
Zihong Huang, Jian Zhang
IEEE International Conference on Image Processing (ICIP), 2021.
[PDF] [Cite]
[12]
Graph Attention Neural Network for Image Restoration
Chong Mou, Jian Zhang
IEEE International Conference on Multimedia and Expo (ICME), 2021.
[PDF] [Cite]
[13]
Spatial-temporal Synergic Prior Driven Unfolding Network for Snapshot Compressive Imaging
Zhuoyuan Wu, Zhenyu Zhang, Jiechong Song, Jian Zhang
IEEE International Conference on Multimedia and Expo (ICME), 2021.
[PDF] [Cite]
[14]
Synergic Feature Attention for Image Restoration
Chong Mou, Jian Zhang
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.
[PDF] [Cite]
[15]
Invertible Resampling-Based Layered Image Compression
Youmin Xu, Jian Zhang
Data Compression Conference (DCC), 2021.
[PDF] [Cite]
[16]
ISTA-Net++: Flexible Deep Unfolding Network for Compressive Sensing
Di You, Jingfen Xie, Jian Zhang
IEEE International Conference on Multimedia and Expo (ICME), 2021.
[PDF] [Code] [Cite]
[17]
Spk2ImgNet:Learning to Reconstruct Dynamic Scene from Continuous Spike Stream
Jing Zhao, Ruiqin Xiong, Hangfan Liu, Jian Zhang, Tiejun Huang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[PDF] [Cite]
[18]
Thousand to One: Semantic Prior Modeling for Conceptual Coding
Jianhui Chang, Zhenghui Zhao, Lingbo Yang, Chuanmin Jia, Jian Zhang, Siwei Ma
IEEE International Conference on Multimedia and Expo (ICME), 2021.
[PDF] [Cite]
[19]
Matching on Sets: Conquer Occluded Person Re-Identification Without Alignment
Mengxi Jia, Xinhua Cheng, Yunpeng Zhai, Shijian Lu, Siwei Ma, Jian Zhang
AAAI Conference on Artificial Intelligence (AAAI), 2021.
[PDF] [Cite]

Before 2021 (selected)

[1]
A Similarity Inference Metric for RGB-Infrared Cross-Modality Person Re-identification
Mengxi Jia, Yunpeng Zhai, Shijian Lu, Siwei Ma, Jian Zhang
International Joint Conference on Artificial Intelligence (IJCAI), 2020.
[PDF] [Cite]
[2]
Optimization-Inspired Compact Deep Compressive Sensing
Jian Zhang, Chen Zhao, Wen Gao
IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2020.
[Project] [PDF] [Code] [Cite]
[3]
A Novel Two-stage Separable Deep Learning Framework for Practical Blind Watermarking
Yang Liu, Mengxi Guo, Jian Zhang, Yuesheng Zhu, Xiaodong Xie
Proceedings of ACM International Conference on Multimedia (ACM MM), 2019.
[PDF] [Cite] [Oral] [Top Conference in Multimedia]
[4]
End-to-end Learned, Optically Coded Super-resolution SPAD Camera
Qilin Sun, Jian Zhang, Xiong Dun, Bernard Ghanem, Yifan Peng, Wolfgang Heidrich
ACM Transactions on Graphics (TOG), 2020.
[Project] [PDF] [Cite] [Presented at Siggraph 2020]
[5]
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing
Jian Zhang, Bernard Ghanem
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
[PDF] [Code] [Cite] [Supp] [Poster] [Top Conference in Computer Vision]
[6]
Divisively Normalized Sparse Coding: Toward Perceptual Visual Signal Representation
Xiang Zhang, Siwei Ma, Shiqi Wang, Jian Zhang, Huifang Sun, Wen Gao
IEEE Transactions on Cybernetics (TOC), 2019.
[PDF] [Cite]
[7]
Effective Quadtree Plus Binary Tree Block Partition Decision for Future Video Coding
Zhao Wang, Shiqi Wang, Jian Zhang, Shanshe Wang, Siwei Ma
Data Compression Conference (DCC), 2017.
[PDF] [Cite] [Oral] [Top Conference in Data Compression]
[8]
Globally Variance-Constrained Sparse Representation for Rate-Distortion Optimized Image Representation
Xiang Zhang, Siwei Ma, Zhouchen Lin, Jian Zhang, Shiqi Wang, Wen Gao
Data Compression Conference (DCC), 2017.
[PDF] [Cite] [Oral] [Top Conference in Data Compression]
[9]
Probabilistic Decision Based Block Partitioning for Future Video Coding
Zhao Wang, Shiqi Wang, Jian Zhang, Shanshe Wang, Siwei Ma
IEEE Transactions on Image Processing (TIP), 2018.
[PDF] [Cite]
[10]
Structure-driven Adaptive Non-local Filter for High Efficiency Video Coding (HEVC)
Jian Zhang, Chuanmin Jia, Nan Zhang, Siwei Ma, Wen Gao
Data Compression Conference (DCC), 2016.
[PDF] [Cite] [Oral] [Top Conference in Data Compression]
[11]
Structure-aware Local Sparse Coding for Visual Tracking
Yuankai Qi, Lei Qin, Jian Zhang, Shengping Zhang, Qingming Huang, Ming-Hsuan Yang
IEEE Transactions on Image Processing (TIP), 2018.
[PDF] [Cite]
[12]
Nonconvex Lp Nuclear Norm based ADMM Framework for Compressed Sensing
Chen Zhao, Jian Zhang, Siwei Ma, Wen Gao
Data Compression Conference (DCC), 2016.
[PDF] [Cite] [Oral] [Top Conference in Data Compression]
[13]
Globally Variance-Constrained Sparse Representation and Its Application in Image Set Coding
Xiang Zhang, Jiarui Sun, Siwei Ma, Zhouchen Lin, Jian Zhang, Shiqi Wang, Wen Gao
IEEE Transactions on Image Processing (TIP), 2018.
[PDF] [Cite]
[14]
Compressive-Sensed Image Coding via Stripe-based DPCM
Chen Zhao, Jian Zhang, Siwei Ma, Wen Gao
Data Compression Conference (DCC), 2016.
[PDF] [Cite] [Oral] [Top Conference in Data Compression]
[15]
Adaptive Motion Vector Resolution Scheme for Enhanced Video Coding
Zhao Wang, Jian Zhang, Nan Zhang, Siwei Ma
Data Compression Conference (DCC), 2016.
[PDF] [Cite] [Oral] [Top Conference in Data Compression]
[16]
Fourier Ptychographic Microscopy with Sparse Representation
Yongbing Zhang, Pengming Song, Jian Zhang, Qionghai Dai
Scientific reports (SR), 2017.
[PDF] [Cite]
[17]
Collaborative Representation Cascade for Single-Image Super-Resolution
Yongbing Zhang, Yulun Zhang, Jian Zhang, Dong Xu, Yun Fu, Yisen Wang, Xiangyang Ji, Qionghai Dai
IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC), 2019.
[PDF] [Cite]
[18]
Power Distortion Optimization for Uncoded Linear Transformed Transmission of Images and Videos
Ruiqin Xiong, Jian Zhang, Feng Wu, Jizheng Xu, Wen Gao
IEEE Transactions on Image Processing (TIP), 2017.
[PDF] [Cite]
[19]
Adaptive Local Nonparametric Regression for Fast Single Image Super-Resolution
Yulun Zhang, Yongbing Zhang, Jian Zhang, Haoqian Wang, Xingzheng Wang, Qionghai Dai
Visual Communications and Image Processing (VCIP), 2015.
[PDF] [Cite] [Oral] [Best Student Paper Award]
[20]
Reducing Image Compression Artifacts by Structural Sparse Representation and Quantization Constraint Prior
Chen Zhao, Jian Zhang, Siwei Ma, Xiaopeng Fan, Yongbing Zhang, Wen Gao
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2017.
[PDF] [Code] [Cite]
[21]
Video Compressive Sensing Reconstruction Via Reweighted Residual Sparsity
Chen Zhao, Siwei Ma, Jian Zhang, Ruiqin Xiong, Wen Gao
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2017.
[PDF] [Code] [Cite]
[22]
Adaptive Progressive Motion Vector Resolution Selection Based on Rate-Distortion Optimization
Zhao Wang, Shiqi Wang, Jian Zhang, Siwei Ma
IEEE Transactions on image Processing (TIP), 2017.
[PDF] [Cite]
[23]
Image Denoising via Bandwise Adaptive Modeling and Regularization Exploiting Nonlocal Similarity
Ruiqin Xiong, Hangfan Liu, Xinfeng Zhang, Jian Zhang, Siwei Ma, Feng Wu, Wen Gao
IEEE Transactions on Image Processing (TIP), 2016.
[PDF] [Cite]
[24]
Low-Rank-Based Nonlocal Adaptive Loop Filter for High-Efficiency Video Compression
Xinfeng Zhang, Ruiqin Xiong, Weisi Lin, Jian Zhang, Shiqi Wang, Siwei Ma, Wen Gao
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2017.
[PDF] [Cite]
[25]
Image Denoising via Adaptive Soft-Thresholding Based on Non-Local Samples
Hangfan Liu, Ruiqin Xiong, Jian Zhang, Wen Gao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
[PDF] [Code] [Cite] [Poster] [Top Conference in Computer Vision]
[26]
Utility-Driven Adaptive Preprocessing for Screen Content Video Compression
Shiqi Wang, Xinfeng Zhang, Xianming Liu, Jian Zhang, Siwei Ma, Wen Gao
IEEE Transactions on Multimedia (TMM), 2017.
[PDF] [Cite]
[27]
Block-Based Compressive Sensing Coding of Natural Images by Local Structural Measurement Matrix
Xinwei Gao, Jian Zhang, Wenbin Che, Xiaopeng Fan, Debin Zhao
Data Compression Conference (DCC), 2015.
[PDF] [Cite] [Oral] [Top Conference in Data Compression]
[28]
Entropy of Primitive: From Sparse Representation to Visual Information Evaluation
Siwei Ma, Xiang Zhang, Shiqi Wang, Jian Zhang, Huifang Sun, Wen Gao
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2017.
[PDF] [Code] [Cite]
[29]
Nonlocal In-Loop Filter: The Way Toward Next-Generation Video Coding?
Siwei Ma, Xinfeng Zhang, Jian Zhang, Chuanmin Jia, Shiqi Wang, Wen Gao
IEEE MultiMedia (MM), 2016.
[PDF] [Cite] [Best Paper Award]
[30]
CCR: Clustering and Collaborative Representation for Fast Single Image Super-Resolution
Yongbing Zhang, Yulun Zhang, Jian Zhang, Qionghai Dai
IEEE Transactions on Multimedia (TMM), 2016.
[PDF] [Code] [Cite]
[31]
CONCOLOR: COnstrained Non-COnvex LOw-Rank Model for Image Deblocking
Jian Zhang, Ruiqin Xiong, Chen Zhao, Yongbing Zhang, Siwei Ma, Wen Gao
IEEE Transactions on Image Processing (TIP), 2016.
[PDF] [Code] [Cite]
[32]
Group-Based Sparse Representation for Image Restoration
Jian Zhang, Debin Zhao, Wen Gao
IEEE Transactions on Image Processing (TIP), 2014.
[Project] [PDF] [Code] [Cite] [Highly Cited Paper]
[33]
Structural Group Sparse Representation for Image Compressive Sensing Recovery
Jian Zhang, Debin Zhao, Feng Jiang, Wen Gao
Data Compression Conference (DCC), 2013.
[PDF] [Code] [Cite] [Oral] [Top Conference in Data Compression]
[34]
Image Restoration Using Joint Statistical Modeling in a Space-Transform Domain
Jian Zhang, Debin Zhao, Ruiqin Xiong, Siwei Ma, Wen Gao
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2014.
[PDF] [Code] [Cite] [Featured on Nuit Blanche]
[35]
Improved Total Variation based Image Compressive Sensing Recovery by Nonlocal Regularization
Jian Zhang, Shaohui Liu, Ruiqin Xiong, Siwei Ma, Debin Zhao
IEEE International Symposium on Circuits and Systems (ISCAS), 2013.
[PDF] [Code] [Cite] [Poster]
[36]
Image Compressive Sensing Recovery Using Adaptively Learned Sparsifying Basis via L0 Minimization
Jian Zhang, Chen Zhao, Debin Zhao, Wen Gao
Signal Processing (SP), 2014.
[PDF] [Code] [Cite] [Featured on Nuit Blanche]
[37]
Compressed Sensing Recovery via Collaborative Sparsity
Jian Zhang, Debin Zhao, Chen Zhao, Ruiqin Xiong, Siwei Ma, Wen Gao
Data Compression Conference (DCC), 2012.
[PDF] [Cite] [Oral] [Top Conference in Data Compression]
[38]
Image Compressive Sensing Recovery via Collaborative Sparsity
Jian Zhang, Debin Zhao, Chen Zhao, Ruiqin Xiong, Siwei Ma, Wen Gao
IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), 2012.
[PDF] [Code] [Cite]
[39]
Image Super-Resolution via Dual-Dictionary Learning and Sparse Representation
Jian Zhang, Chen Zhao, Ruiqin Xiong, Siwei Ma, Debin Zhao
IEEE International Symposium on Circuits and Systems (ISCAS), 2012.
[PDF] [Code] [Cite] [Poster]
[40]
Interpolation-Dependent Image Downsampling
Yongbing Zhang, Debin Zhao, Jian Zhang, Ruiqin Xiong, Wen Gao
IEEE Transactions on Image Processing (TIP), 2011.
[PDF] [Cite]
[41]
Exploiting Image Local and Nonlocal Consistency for Mixed Gaussian-Impulse Noise Removal
Jian Zhang, Ruiqin Xiong, Chen Zhao, Siwei Ma, Debin Zhao
IEEE International Conference on Multimedia and Expo (ICME), 2012.
[PDF] [Cite] [Poster]
[42]
Image Primitive Coding and Visual Quality Assessment
Jian Zhang, Siwei Ma, Ruiqin Xiong, Debin Zhao, Wen Gao
Pacific-Rim Conference on Multimedia (PCM), 2012.
[PDF] [Cite] [Oral]
[43]
High-Quality Image Restoration from Partial Random Samples in Spatial Domain
Jian Zhang, Ruiqin Xiong, Siwei Ma, Debin Zhao
Visual Communications and Image Processing (VCIP), 2011.
[PDF] [Cite] [Oral] [Best Paper Award]

Professional Activities | Reviewers

Professional Activities | Journal Impact Factor (IF) 2022

Professional Activities | Memberships

  • Member, IEEE
  • Member, CCF
  • Member, CAAI

Awards