Recent News

  • 2024/05 - 1 paper accepted to TCSVT!
  • 2024/05 - 1 paper accepted to TCSVT!
  • 2024/04 - 1 paper accepted to TPAMI!
  • 2024/02 - 6 papers accepted to CVPR 2024!
  • 2024/01 - 2 papers accepted to ICLR 2024!
  • 2023/12 - 3 papers accepted to AAAI 2024!
  • 2023/11 - 1 paper accepted to TPAMI!
  • 2023/10 - 1 paper accepted to TMM!
  • 2023/09 - 1 paper accepted to NeurIPS 2023!
  • 2023/08 - 1 paper accepted to TIM!
  • 2023/07 - 3 papers accepted to ICCV 2023!
  • 2023/05 - 1 paper accepted to IJCV!
  • 2023/05 - 1 paper accepted to TIP!

Biography

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

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) and King Abdullah University of Science and Technology (KAUST) (cooperated with Prof. Bernard Ghanem).

His research interest focuses on intelligent multimedia processing, including low-level vision, AI-generated content (AIGC) and security. He has published over 100 technical articles in refereed international journals and proceedings, with more than 7640 citations [Google Scholar]. In teaching, he won the first prize in the 23rd Young Teachers’ Teaching Basic Skills Competition at Peking University (as well as the best teaching demonstration prize and the most popular prize among students), the honorary title of “Excellent Class Teacher” at Peking University. In research, he won the 2011 Best Paper Award of IEEE International Conference on Visual Communication and Image Processing (VCIP), the 2015 Best Student Paper Award of the International Conference, the 2018 Best Paper Award of IEEE MultiMedia, and the ChinaMM 2021 Best Paper Award, Shenzhen Science and Technology Association, won the 2021 Excellent Natural Science Academic Paper Award (16 in total, the only one in the information field) and the 2023 China Artificial Intelligence Society-Huawei MindSpore Academic Award Fund Project Excellence Award. With ByteDance, he won the “NTIRE 2023 Global Challenge Panoramic Image Super-resolution Track” championship and was selected as the “Top 2% Scientists in the World” list by Stanford University for four consecutive years. In service, he is the director of the Youth Working Committee of Shenzhen Artificial Intelligence Society, the director of Guangdong Image and Graphics Society, the member of the Youth Working Committee of China Image and Graphics Society, and the executive member of the Seminar for Young Scholars in Vision and Learning (VALSE). At the same time, he serves on the editorial board of international journals such as Journal of Visual Communication and Image Representation, Signal, Image and Video Processing, CAAI Transactions on Intelligence Technology, etc.

The representative works mainly include: 1) GSR puts forward the sparse representation model and theory of image structure groups, which broke through the limitation that the previous block sparse representation model was only partially dependent, and was selected as a highly cited paper of ESI, with more than 760 citations, and was rated as one of the representative works based on sparse representation in the field of image reconstruction by many experts and scholars; 2) ISTA-Net puts forward the theory of using structured deep neural network to solve the optimization reconstruction problem, and designs a deep unfolding network inspired by iterative soft threshold algorithm, which is both interpretable and structural, greatly improving the efficiency and performance of image reconstruction, and has become the most representative work in this field, with more than 1070 citations; 3) The representative work T2I-Adapter won more than 2500 stars on GitHub less than half a year after its launch and has been combined by Stability AI, a unicorn company in the AIGC field, with its flagship model StableDiffusionXL, and used in the graffiti generation product Stable Doodle . In cooperation with Hugging Face, T2I-Adapter-SDXL was jointly developed and launched in the community.

张健,北京大学深圳研究生院信息工程学院助理教授/研究员、博士生导师,视觉信息智能学习实验室(VILLA)负责人,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(导师:赵德斌教授)。2014-2018年期间先后在北京大学(PKU)(合作导师:高文院士)和沙特国王科技大学(KAUST)(合作导师:Bernard Ghanem教授,AI中心主任)做博士后访问研究。

主要从事基于AI的图像重建与生成,包括底层视觉与计算成像、AI内容生成(AIGC)与安全等,共计发表包括TPAMI、IJCV、TIP、CVPR、ECCV、ICCV、NeurIPS、ICLR等高水平权威国际期刊/会议论文100余篇,其中以第一/通讯作者在ACM/IEEE汇刊和CCF-A类期刊/会议上发表论文60余篇,个人Google Scholar引用7648次(其中单篇一作会议和期刊论文最高引用分别为1074次和767次),h-index值为43。入职北京大学后,于2019年创立了视觉信息智能学习实验室(VILLA)。近两年,带领VILLA以第一或通讯作者在CCF-A类会议/期刊上发表论文20余篇。相关研究成果申请/授权中国专利10余项。主持国家自然科学基金青年科学基金项目、国家自然科学基金面上项目、国家自然科学基金重点项目子课题、深圳市科技攻关项目子课题以及与字节/华为/OPPO/腾讯/创维/兔展等知名企业学术合作项目共10余项。

教学方面,获得北京大学第二十三届青年教师教学基本功比赛一等奖(以及最佳教学演示奖和最受学生欢迎奖)、北京大学“优秀班主任”、北京大学“优秀共产党员”荣誉称号等,多名学生荣获硕士/博士研究生国家奖学金、北京大学三好学生、北京大学三好学生标兵、北京大学优秀毕业生、北京市优秀毕业生等;科研方面,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)、2023中国人工智能学会—华为MindSpore学术奖励基金项目优秀奖,携手字节获“NTIRE 2023全球挑战赛全景图像超分辨率赛道”总冠军、连续四年入选斯坦福大学评选“全球前2%顶尖科学家”榜单等。 服务方面,担任深圳市人工智能学会青年工作委员会主任、广东省图象图形学会理事、中国图象图形学学会青年工作委员会委员、视觉与学习青年学者研讨会(VALSE)执行委员等;同时担任Journal of Visual Communication and Image Representation、Signal, Image and Video Processing、CAAI Transactions on Intelligence Technology等国际期刊编委。

代表工作主要有:1)GSR提出了图像结构组稀疏表示模型与理论,突破了前期块稀疏表示模型仅局部依赖的限制,入选ESI高被引论文,单篇引用超过760次,被多位专家学者评为图像重建领域基于稀疏表示的代表性工作之一;2)ISTA-Net提出利用结构化深度神经网络求解优化重建问题理论,设计迭代软阈值算法启发的深度展开网络,兼具可解释性和结构性,大幅提升图像重建效率和性能,已成为该领域最具代表性工作,单篇引用超过1070次;3)T2I-Adapter推出不到半年在GitHub获超过2500 stars,已被AIGC领域独角兽公司Stability AI与其旗舰模型StableDiffusionXL结合,用于涂鸦生成产品 Stable Doodle 中,服务全球用户;团队与Hugging Face公司合作开发推出了 T2I-Adapter-SDXL 在社区上线。

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,更多最新信息请查看个人学术主页: https://jianzhang.tech/ 或者信息工程学院教师 [中文主页] 以及实验室主页: https://villa.jianzhang.tech/


Research Areas

  • AI-based low-level vision and computational imaging
  • AI-generated content (AIGC) and security

Selected Publications

preprint

[1]
GS-Hider: Hiding Messages into 3D Gaussian Splatting
Xuanyu Zhang, Jiarui Meng, Runyi Li, Zhipei Xu, Yongbing Zhang, Jian Zhang
arXiv preprint, 2024.
[PDF] [Cite]
[2]
ReVideo: Remake a Video with Motion and Content Control
Chong Mou, Mingdeng Cao, Xintao Wang, Zhaoyang Zhang, Ying Shan, Jian Zhang
arXiv preprint, 2024.
[Project] [PDF] [Cite]
[3]
ResVR: Joint Rescaling and Viewport Rendering of Omnidirectional Images
Weiqi Li, Shijie Zhao, Bin Chen, Xinhua Cheng, Junlin Li, Li Zhang, Jian Zhang
arXiv preprint, 2024.
[PDF] [Cite]
[4]
V2A-Mark: Versatile Deep Visual-Audio Watermarking for Manipulation Localization and Copyright Protection
Xuanyu Zhang, Youmin Xu, Runyi Li, Jiwen Yu, Weiqi Li, Zhipei Xu, Jian Zhang
arXiv preprint, 2024.
[PDF] [Cite]
[5]
Invertible Diffusion Models for Compressed Sensing
Bin Chen, Zhenyu Zhang, Weiqi Li, Chen Zhao, Jiwen Yu, Shijie Zhao, Jie Chen, Jian Zhang
arXiv preprint, 2024.
[PDF] [Cite]
[6]
Neural Video Fields Editing
Shuzhou Yang, Chong Mou, Jiwen Yu, Yuhan Wang, Xiandong Meng, Jian Zhang
arXiv preprint, 2023.
[PDF] [Cite]
[7]
PhysHOI: Physics-Based Imitation of Dynamic Human-Object Interaction
Yinhuai Wang, Jing Lin, Ailing Zeng, Zhengyi Luo, Jian Zhang, Lei Zhang
arXiv preprint, 2023.
[Project] [PDF] [Code] [Cite]
[8]
AnimateZero: Video Diffusion Models are Zero-Shot Image Animators
Jiwen Yu, Xiaodong Cun, Chenyang Qi, Yong Zhang, Xintao Wang, Ying Shan, Jian Zhang
arXiv preprint, 2023.
[Project] [PDF] [Code] [Cite]
[9]
Language-Assisted 3D Scene Understanding
Yanmin Wu, Qiankun Gao, Renrui Zhang, Jian Zhang
arXiv preprint, 2023.
[PDF] [Code] [Cite]
[10]
Self-Supervised Scalable Deep Compressed Sensing
Bin Chen, Xuanyu Zhang, Shuai Liu, Yongbing Zhang, Jian Zhang
arXiv preprint, 2023.
[PDF] [Cite]

2024 (2 TPAMI, 2 TCSVT, 6 CVPR, 2 ICLR, 3 AAAI)

[1]
Progressive Content-aware Coded Hyperspectral Compressive Imaging alt new
Xuanyu Zhang, Bin Chen, Wenzhen Zou, Shuai Liu, Yongbing Zhang, Ruiqin Xiong, Jian Zhang
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024.
[PDF] [Cite]
[2]
D3C2-Net: Dual-Domain Deep Convolutional Coding Network for Compressive Sensing alt new
Weiqi Li, Bin Chen, Shuai Liu, Shijie Zhao, Bowen Du, Yongbing Zhang, Jian Zhang
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024.
[PDF] [Code] [Cite]
[3]
Empowering Real-World Image Super-Resolution with Flexible Interactive Modulation alt new
Chong Mou, Xintao Wang, Yanze Wu, Ying Shan, Jian Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.
[Cite]
[4]
EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protection alt new
Xuanyu Zhang, Runyi Li, Jiwen Yu, Youmin Xu, Weiqi Li, Jian Zhang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[Project] [PDF] [Code] [Cite]
[5]
360DVD: Controllable Panorama Video Generation with 360-Degree Video Diffusion Model alt new
Qian Wang, Weiqi Li, Chong Mou, Xinhua Cheng, Jian Zhang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[Project] [PDF] [Code] [Cite]
[6]
DiffEditor: Boosting Accuracy and Flexibility on Diffusion-based Image Editing
Chong Mou, Xintao Wang, Jiechong Song, Ying Shan, Jian Zhang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[Project] [PDF] [Code] [Cite]
[7]
Super-Resolution Reconstruction from Bayer-Pattern Spike Streams
Yanchen Dong, Ruiqin Xiong, Jian Zhang, Zhaofei Yu, Xiaopeng Fan, Shuyuan Zhu, Tiejun Huang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[Cite]
[8]
Boosting Spike Camera Image Reconstruction from a Perspective of Dealing with Spike Fluctuations
Rui Zhao, Ruiqin Xiong, Jing Zhao, Jian Zhang, Xiaopeng Fan, Zhaofei Yu, Tiejun Huang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[Cite]
[9]
Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model
Dian Zheng, Xiao-Ming Wu, Shuzhou Yang, Jian Zhang, Jian-Fang Hu, Wei-Shi Zheng
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[Cite]
[10]
DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models
Chong Mou, Xintao Wang, Jiechong Song, Ying Shan, Jian Zhang
International Conference on Learning Representations (ICLR), 2024.
[Project] [PDF] [Code] [Cite]
[11]
Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts
Xinhua Cheng, Tianyu Yang, Jianan Wang, Yu Li, Lei Zhang, Jian Zhang, Li Yuan
International Conference on Learning Representations (ICLR), 2024.
[Project] [PDF] [Code] [Cite]
[12]
Optical Flow for Spike Camera with Hierarchical Spatial-Temporal Spike Fusion
Rui Zhao, Ruiqin Xiong, Jian Zhang, Xinfeng Zhang, Zhaofei Yu, Tiejun Huang
AAAI Conference on Artificial Intelligence (AAAI), 2024.
[Cite]
[13]
Joint Demosaicing and Denoising for Spike Camera
Yanchen Dong, Ruiqin Xiong, Jing Zhao, Jian Zhang, Xiaopeng Fan, Shuyuan Zhu, Tiejun Huang
AAAI Conference on Artificial Intelligence (AAAI), 2024.
[Cite]
[14]
T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models
Chong Mou, Xintao Wang, Liangbin Xie, Jian Zhang, Zhongang Qi, Ying Shan, Xiaohu Qie
AAAI Conference on Artificial Intelligence (AAAI), 2024.
[PDF] [Code] [Cite]
[15]
Faster Person Re-Identification: One-shot-Filter and Coarseto-Fine Search
Guan’an Wang, Xiaowen Huang, Shaogang Gong, Jian Zhang, Wen Gao
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.
[Cite]

2023 (3 IJCV, 1 SPM, 2 TIP, 1 TRO, 1 TMM, 1 TIM, 1 TCSVT; 4 CVPR, 4 AAAI, 1 ICLR, 1 IJCAI, 3 ICCV, 1 NeurIPS)

[1]
Deep Unfolding Network for Image Compressed Sensing by Content-adaptive Gradient Updating and Deformation-invariant Non-local Modeling
Wenxue Cui, Xiaopeng Fan, Jian Zhang, Debin Zhao
IEEE Transactions on Multimedia (TMM), 2023.
[PDF] [Cite]
[2]
CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image Steganography
Jiwen Yu, Xuanyu Zhang, Youmin Xu, Jian Zhang
Advances in Neural Information Processing Systems (NeurIPS), 2023.
[PDF] [Code] [Cite]
[3]
SODAS-Net: Side-Information-Aided Deep Adaptive Shrinkage Network for Compressive Sensing
Jiechong Song, Jian Zhang
IEEE Transactions on Instrumentation and Measurement (TIM), 2023.
[PDF] [Code] [Cite]
[4]
A Unified Continual Learning Framework with General Parameter-Efficient Tuning
Qiankun Gao, Chen Zhao, Yifan Sun, Teng Xi, Gang Zhang, Bernard Ghanem, Jian Zhang
International Conference on Computer Vision (ICCV), 2023.
[PDF] [Code] [Cite]
[5]
Freedom: Training-free energy-guided conditional diffusion model
Jiwen Yu, Yinhuai Wang, Chen Zhao, Bernard Ghanem, Jian Zhang
International Conference on Computer Vision (ICCV), 2023.
[PDF] [Code] [Cite]
[6]
Implicit Neural Representation for Cooperative Low-light Image Enhancement
Shuzhou Yang, Moxuan Ding, Yanmin Wu, Zihan Li, Jian Zhang
International Conference on Computer Vision (ICCV), 2023.
[PDF] [Code] [Cite]
[7]
Deep Physics-Guided Unrolling Generalization for Compressed Sensing
Bin Chen, Jiechong Song, Jingfen Xie, Jian Zhang
International Journal of Computer Vision (IJCV), 2023.
[PDF] [Code] [Cite]
[8]
CSformer: Bridging Convolution and Transformer for Compressive Sensing
Dongjie Ye, Zhangkai Ni, Hanli Wang, Jian Zhang, Shiwqi Wang, Sam Kwong
IEEE Transactions on Image Processing (TIP), 2023.
[PDF] [Cite]
[9]
Null-Space Diffusion Sampling for Zero-Shot Point Cloud Completion
Xinhua Cheng, Nan Zhang, Jiwen Yu, Yinhuai Wang, Ge Li, Jian Zhang
International Joint Conference on Artificial Intelligence (IJCAI), 2023.
[PDF] [Cite]
[10]
Semantic-aware Visual Decomposition for Image Coding
Jianhui Chang, Jian Zhang, Jiguo Li, Shiqi Wang, Qi Mao, Chuanmin Jia, Siwei Ma, Wen Gao
International Journal of Computer Vision (IJCV), 2023.
[PDF] [Cite]
[11]
An Object SLAM Framework for Association, Mapping, and High-Level Tasks
Yanmin Wu, Yunzhou Zhang, Delong Zhu, Zhiqiang Deng, Wenkai Sun, Xin Chen, Jian Zhang
IEEE Transactions on Robotics (TRO), 2023.
[PDF] [Cite]
[12]
Dynamic Path-Controllable Deep Unfolding Network for Compressive Sensing
Jiechong Song, Bin Chen, Jian Zhang
IEEE Transactions on Image Processing (TIP), 2023.
[PDF] [Code] [Cite]
[13]
Panoptic Compositional Feature Field for Editable Scene Rendering with Network-Inferred Labels via Metric Learning
Xinhua Cheng, Yanmin Wu, Mengxi Jia, Qian Wang, Jian Zhang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
[PDF] [Cite]
[14]
Large-capacity and Flexible Video Steganography via Invertible Neural Network
Chong Mou, Youmin Xu, Jiechong Song, Chen Zhao, Bernard Ghanem, Jian Zhang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
[PDF] [Code] [Cite]
[15]
Optimization-Inspired Cross-Attention Transformer for Compressive Sensing
Jiechong Song, Chong Mou, Shiqi Wang, Siwei Ma, Jian Zhang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
[PDF] [Code] [Cite]
[16]
EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding
Yanmin Wu, Xinhua Cheng, Renrui Zhang, Zesen Cheng, Jian Zhang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
[PDF] [Code] [Cite]
[17]
DEAR-GAN: Degradation-Aware Face Restoration with GAN Prior
Yujie Hu, Yinhuai Wang, Jian Zhang
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023.
[PDF] [Cite]
[18]
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
Yinhuai Wang, Jiwen Yu, Jian Zhang
International Conference on Learning Representations (ICLR), 2023.
[PDF] [Code] [Cite]
[19]
Deep Memory-Augmented Proximal Unrolling Network for Compressive Sensing
Jiechong Song, Bin Chen, Jian Zhang
International Journal of Computer Vision (IJCV), 2023.
[PDF] [Cite]
[20]
Less Is More Important: An Attention Module Guided by Probability Density Function for Convolutional Neural Networks
Jingfen Xie, Jian Zhang
AAAI Conference on Artificial Intelligence (AAAI), 2023.
[PDF] [Cite]
[21]
GAN Prior based Null-Space Learning for Consistent Super-Resolution
Yinhuai Wang, Yujie Hu, Jiwen Yu, Jian Zhang
AAAI Conference on Artificial Intelligence (AAAI), 2023.
[PDF] [Code] [Cite]
[22]
Learning to Super-Resolve Dynamic Scenes for Neuromorphic Spike Camera
Jing Zhao, Ruiqin Xiong, Jian Zhang, Rui Zhao, Hangfan Liu, Tiejun Huang
AAAI Conference on Artificial Intelligence (AAAI), 2023.
[PDF] [Cite]
[23]
HVTSurv: Hierarchical Vision Transformer for Patient-level Survival Prediction from Whole Slide Image
Zhuchen Shao, Yang Chen, Hao Bian, Jian Zhang, Guojun Liu, Yongbing Zhang
AAAI Conference on Artificial Intelligence (AAAI), 2023.
[PDF] [Code] [Cite]
[24]
Physics-Inspired Compressive Sensing: Beyond Deep Unrolling
Jian Zhang, Bin Chen, Ruiqin Xiong, Yongbing Zhang
IEEE Signal Processing Magazine (SPM), 2023.
[PDF] [Cite]

2022 (1 TPAMI, 2 TNNLS, 2 TIP, 2 TCSVT, 2 TMM, 2 JSTSP; 3 CVPR, 2 ECCV, 2 ACM MM, 2 AAAI, 1 MICCAI)

[1]
Contrastive Unfolding Deraining Network
Zihong Huang, Jian Zhang
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022.
[PDF] [Cite]
[2]
TransCL: Transformer Makes Strong and Flexible Compressive Learning
Chong Mou, Jian Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
[PDF] [Code] [Cite]
[3]
Content-aware Scalable Deep Compressed Sensing
Bin Chen, Jian Zhang
IEEE Transactions on Image Processing (TIP), 2022.
[PDF] [Code] [Cite]
[4]
Hierarchical Similarity Learning for Aliasing Suppression Image Super-Resolution
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]
[5]
Metric Learning based Interactive Modulation for Real-World Super-Resolution
Chong Mou, Yanze Wu, Xintao Wang, Chao Dong, Jian Zhang, Ying Shan
European Conference on Computer Vision (ECCV), 2022.
[PDF] [Code] [Cite]
[6]
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]
[7]
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.
[PDF] [Cite]
[8]
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.
[PDF] [Cite]
[9]
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]
[10]
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]
[11]
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]
[12]
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]
[13]
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]
[14]
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]
[15]
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]
[16]
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]
[17]
Robust Invertible Image Steganography
Youmin Xu, Chong Mou, Yujie Hu, Jingfen Xie, Jian Zhang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[PDF] [Cite]
[18]
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]
[19]
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]
[20]
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]
[21]
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]

Before 2022 (11 TIP, 1 TOG, 4 TMM, 5 TCSVT; 3 CVPR, 3 ICCV, 1 NeurIPS, 10 DCC, 2 ACM MM)

[1]
CAS: Correlation Adaptive Sparse Modeling for Image Denoising
Hangfan Liu, Jian Zhang, Ruiqin Xiong
IEEE Transactions on Computational Imaging (TCI), 2021.
[PDF] [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]
Graph Attention Neural Network for Image Restoration
Chong Mou, Jian Zhang
IEEE International Conference on Multimedia and Expo (ICME), 2021.
[PDF] [Cite]
[11]
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]
[12]
Synergic Feature Attention for Image Restoration
Chong Mou, Jian Zhang
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.
[PDF] [Cite]
[13]
Invertible Resampling-Based Layered Image Compression
Youmin Xu, Jian Zhang
Data Compression Conference (DCC), 2021.
[PDF] [Cite]
[14]
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]
[15]
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]
[16]
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]
[17]
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]
[18]
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]
[19]
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]
[20]
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]
[21]
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]
[22]
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]
[23]
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]
[24]
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]
[25]
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]
[26]
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]
[27]
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]
[28]
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]
[29]
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]
[30]
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]
[31]
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]
[32]
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]
[33]
Fourier Ptychographic Microscopy with Sparse Representation
Yongbing Zhang, Pengming Song, Jian Zhang, Qionghai Dai
Scientific reports (SR), 2017.
[PDF] [Cite]
[34]
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]
[35]
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]
[36]
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]
[37]
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]
[38]
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]
[39]
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]
[40]
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]
[41]
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]
[42]
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]
[43]
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]
[44]
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]
[45]
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]
[46]
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]
[47]
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]
[48]
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]
[49]
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]
[50]
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]
[51]
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]
[52]
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]
[53]
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]
[54]
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]
[55]
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]
[56]
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]
[57]
Interpolation-Dependent Image Downsampling
Yongbing Zhang, Debin Zhao, Jian Zhang, Ruiqin Xiong, Wen Gao
IEEE Transactions on Image Processing (TIP), 2011.
[PDF] [Cite]
[58]
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]
[59]
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]
[60]
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 | Memberships

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

Awards