Jian Zhang （张健） (original) (raw)

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Biography

Dr. Jian Zhang is a Tenured Associate Professor of Computer Science and Assistant Dean at the School of Electronic and Computer Engineering, Peking University. He is now leading the Visual-Information Intelligent Learning L AB (V I L L A).

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 visual reconstruction and generation, AI-generated content (AIGC) security. He has published over 120 technical articles in refereed international journals and proceedings, with more than 17000 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 five 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 800 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 1700 citations; 3) The representative work T2I-Adapter won more than 3700 stars on GitHub and more than 1300 citations, 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, the T2I-Adapter-SDXL model was first developed and launched in the community, with over 3 million downloads.

Research Areas

Selected Projects

2026 (3 ICLR, 3 CVPR, 1 AAAI, 1 IJCV)

[1]

OctoT2I: A Self-Evolving Agentic Text-to-Image Router

Xu Jiang, Bin Chen, Gehui Li, Yule Duan, Ronggang Wang,Jian Zhang

IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2026.

[2]

ReAlign: Generalizable Image Forgery Detection via Reasoning-Aligned Representation

Qing Huang, Zhipei Xu, Xuanyu Zhang, Xiangyu Yu,Jian Zhang

IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2026.

[3]

UARE: A Unified Vision-Language Model for Image Quality Assessment, Restoration, and Enhancement

Weiqi Li, Xuanyu Zhang, Bin Chen, Jingfen Xie, Yan Wang, Kexin Zhang, Junlin Li, Li Zhang,Jian Zhang, Shijie Zhao

IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2026.

[4]

Multi-Agent Image Restoration

Xu Jiang, Gehui Li, Bin Chen,Jian Zhang

International Journal of Computer Vision (IJCV), 2026.

[5]

GenCompositor: Generative Video Compositing with Diffusion Transformer

Shuzhou Yang, Xiaoyu Li, Xiaodong Cun, Guangzhi Wang, Lingen Li, Ying Shan,Jian Zhang

International Conference on Learning Representations (ICLR), 2026.

[6]

Improved Adversarial Diffusion Compression for Real-World Video Super-Resolution

Bin Chen, Shijie Zhao, Xuanyu Zhang, Junlin Li, Li Zhang,Jian Zhang

International Conference on Learning Representations (ICLR), 2026.

[7]

Reasoning as Representation: Rethinking Visual Reinforcement Learning in Image Quality Assessment

Shijie Zhao, Xuanyu Zhang, Weiqi Li, Junlin Li, Li Zhang, Tianfan Xue,Jian Zhang

International Conference on Learning Representations (ICLR), 2026.

Oral Presentation

[8]

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning

Xuanyu Zhang, Weiqi Li, Shijie Zhao, Li Zhang,Jian Zhang

AAAI Conference on Artificial Intelligence, 2026.

2025 (3 TPAMI, 1 IJCV, 2 ICLR, 6 CVPR, 1 SIGGRAPH, 1 SIGGRAPH Asia, 3 NeurIPS)

[1]

Spike Camera Optical Flow Estimation Based on Continuous Spike Streams

Rui Zhao, Ruiqin Xiong, Dongkai Wang, Shiyu Xuan,Jian Zhang, Xiaopeng Fan, Tiejun Huang

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.

[2]

OmniDrag: Enabling Motion Control for Omnidirectional Image-to-Video Generation

Weiqi Li, Shijie Zhao, Chong Mou, Xuhan Sheng, Zhenyu Zhang, Qian Wang, Junlin Li, Li Zhang,Jian Zhang

International Journal of Computer Vision (IJCV), 2025.

[3]

Q-Insight: Understanding Image Quality via Visual Reinforcement Learning

Weiqi Li, Xuanyu Zhang, Shijie Zhao, Yabin Zhang, Junlin Li, Li Zhang,Jian Zhang

Advances in Neural Information Processing Systems (NeurIPS), 2025.

Spotlight (Top 3%)

[4]

AlignedGen: Aligning Style Across Generated Images

Jiexuan Zhang, Yiheng Du, Qian Wang, Weiqi Li, Yu Gu,Jian Zhang

Advances in Neural Information Processing Systems (NeurIPS), 2025.

[5]

ReCon-GS: Continuum-Preserved Guassian Streaming for Fast and Compact Reconstruction of Dynamic Scenes

Jiaye Fu, Qiankun Gao, Chengxiang Wen, Yanmin Wu, Siwei Ma, Jiaqi Zhang,Jian Zhang

Advances in Neural Information Processing Systems (NeurIPS), 2025.

[6]

DreamO: A Unified Framework for Image Customization

Chong Mou, Yanze Wu, Wenxu Wu, Zinan Guo, Pengze Zhang, Yufeng Cheng, Yiming Luo, Fei Ding, Shiwen Zhang, Xinghui Li, Mengtian Li, Mingcong Liu, Yi Zhang, Shaojin Wu, Songtao Zhao,Jian Zhang, Qian He, Xinglong Wu

SIGGRAPH Asia, 2025.

[7]

AssetDropper: Asset Extraction via Diffusion Models with Reward-Driven Optimization

Lanjiong Li, Guanhua Zhao, Lingting Zhu, Zeyu Cai, Lequan Yu,Jian Zhang, Zeyu Wang

SIGGRAPH, 2025.

[8]

GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorization!

Yahao Shi, Yanmin Wu, Chenming Wu, Xing Liu, Chen Zhao, Haocheng Feng,Jian Zhang, Bin Zhou, Errui Ding, Jingdong Wang

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.

[9]

OSMamba: Omnidirectional Spectral Mamba with Dual-Domain Prior Generator for Exposure Correction!

Gehui Li, Bin Chen, Chen Zhao, Lei Zhang,Jian Zhang

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

[10]

InstanceGaussian: Appearance-Semantic Joint Gaussian Representation for 3D Instance-Level Perception!

Haijie Li, Yanmin Wu, Jiarui Meng, Qiankun Gao, Zhiyao Zhang, Ronggang Wang,Jian Zhang

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

[11]

OmniGuard: Hybrid Manipulation Localization via Augmented Versatile Deep Image Watermarking!

Xuanyu Zhang, Zecheng Tang, Zhipei Xu, Runyi Li, Youmin Xu, Bin Chen, Feng Gao,Jian Zhang

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

[12]

ISMimic: Learning Basketball Interaction Skills from Demonstrations!

Yinhuai Wang, Qihan Zhao, Runyi Yu, Hok Wai Tsui, Ailing Zeng, Jing Lin, Zhengyi Luo, Jiwen Yu, Xiu Li, Qifeng Chen,Jian Zhang, Lei Zhang, Ping Tan

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

[13]

Adversarial Diffusion Compression for Real-World Image Super-Resolution!

Bin Chen, Gehui Li, Rongyuan Wu, Xindong Zhang, Jie Chen,Jian Zhang, Lei Zhang

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

[14]

Spk2SRImgNet: Super-Resolve Dynamic Scene from Spike Stream via Motion Aligned Collaborative Filtering!

Yuanlin Wang, Yiyang Zhang, Ruiqin Xiong, Jing Zhao,Jian Zhang, Xiaopeng Fan, Tiejun Huang

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

[15]

Invertible Diffusion Models for Compressed Sensing!

Bin Chen, Zhenyu Zhang, Weiqi Li, Chen Zhao, Jiwen Yu, Shijie Zhao, Jie Chen,Jian Zhang

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.

[16]

FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models

Zhipei Xu, Xuanyu Zhang, Runyi Li, Zecheng Tang, Qing Huang,Jian Zhang

International Conference on Learning Representations (ICLR), 2025.

[17]

SecureGS: Boosting the Security and Fidelity of 3D Gaussian Splatting Steganography

Xuanyu Zhang, Jiarui Meng, Zhipei Xu, Shuzhou Yang, Yanmin Wu, Ronggang Wang,Jian Zhang

International Conference on Learning Representations (ICLR), 2025.

2024 (1 Nature Commun Eng, 3 TPAMI, 2 IJCV, 2 TCSVT, 4 NeurIPS, 6 CVPR, 1 ECCV, 2 ICLR, 2 ACM MM, 3 AAAI)

[1]

Practical Compact Deep Compressed Sensing

Bin Chen,Jian Zhang

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.

[2]

DiffLLE: Diffusion-guided Domain Calibration for Unsupervised Low-light Image Enhancement

Shuzhou Yang, Xuanyu Zhang, Yinhuai Wang, Jiwen Yu, Yuhan Wang,Jian Zhang

International Journal of Computer Vision (IJCV), 2024.

[3]

ReVideo: Remake a Video with Motion and Content Control

Chong Mou, Mingdeng Cao, Xintao Wang, Zhaoyang Zhang, Ying Shan,Jian Zhang

Advances in Neural Information Processing Systems (NeurIPS), 2024.

[4]

GS-Hider: Hiding Messages into 3D Gaussian Splatting

Xuanyu Zhang, Jiarui Meng, Runyi Li, Zhipei Xu, Yongbing Zhang,Jian Zhang

Advances in Neural Information Processing Systems (NeurIPS), 2024.

[5]

HiCoM: Hierarchical Coherent Motion for Dynamic Streamable Scenes with 3D Gaussian Splatting

Qiankun Gao, Jiarui Meng, Chengxiang Wen, Jie Chen,Jian Zhang

Advances in Neural Information Processing Systems (NeurIPS), 2024.

[6]

OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary Understanding

Yanmin Wu, Jiarui Meng, Haijie Li, Chenming Wu, Yahao Shi, Xinhua Cheng, Chen Zhao, Haocheng Feng, Errui Ding, Jingdong Wang,Jian Zhang

Advances in Neural Information Processing Systems (NeurIPS), 2024.

[7]

Self-Supervised Scalable Deep Compressed Sensing

Bin Chen, Xuanyu Zhang, Shuai Liu, Yongbing Zhang,Jian Zhang

International Journal of Computer Vision (IJCV), 2024.

[8]

ResVR: Joint Rescaling and Viewport Rendering of Omnidirectional Images

Weiqi Li, Shijie Zhao, Bin Chen, Xinhua Cheng, Junlin Li, Li Zhang,Jian Zhang

ACM International Conference on Multimedia (ACM MM), 2024.

Best Paper Nomination (Top 0.5%)

[9]

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

ACM International Conference on Multimedia (ACM MM), 2024.

[10]

OmniSSR: Zero-shot Omnidirectional Image Super-Resolution using Stable Diffusion Model

Runyi Li, Xuhan Sheng, Weiqi Li,Jian Zhang

European Conference on Computer Vision (ECCV), 2024.

Oral Presentation (Top 3%)

[11]

Compressive Confocal Microscopy Imaging at the Single-Photon Level with Ultra-Low Sampling Ratios

Shuai Liu, Bin Chen, Wenzhen Zou, Hao Sha, Xiaochen Feng, Sanyang Han, Xiu Li, Xuri Yao,Jian Zhang, Yongbing Zhang

Communications Engineering (Nature Communications), 2024.

[12]

Progressive Content-aware Coded Hyperspectral Compressive Imaging

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.

[13]

D3C2-Net: Dual-Domain Deep Convolutional Coding Network for Compressive Sensing

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.

[14]

Empowering Real-World Image Super-Resolution with Flexible Interactive Modulation

Chong Mou, Xintao Wang, Yanze Wu, Ying Shan,Jian Zhang

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.

[15]

EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protection

Xuanyu Zhang, Runyi Li, Jiwen Yu, Youmin Xu, Weiqi Li,Jian Zhang

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

[16]

360DVD: Controllable Panorama Video Generation with 360-Degree Video Diffusion Model

Qian Wang, Weiqi Li, Chong Mou, Xinhua Cheng,Jian Zhang

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

[17]

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.

[18]

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.

[19]

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.

[20]

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.

[21]

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.

[22]

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.

[23]

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.

[24]

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.

[25]

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.

[26]

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.

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.

[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.

[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.

[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.

[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.

[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.

[7]

Deep Physics-Guided Unrolling Generalization for Compressed Sensing

Bin Chen, Jiechong Song, Jingfen Xie,Jian Zhang

International Journal of Computer Vision (IJCV), 2023.

[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.

[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.

[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.

[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.

[12]

Dynamic Path-Controllable Deep Unfolding Network for Compressive Sensing

Jiechong Song, Bin Chen,Jian Zhang

IEEE Transactions on Image Processing (TIP), 2023.

[13]

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.

[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.

[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.

[16]

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.

[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.

[18]

Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

Yinhuai Wang, Jiwen Yu,Jian Zhang

International Conference on Learning Representations (ICLR), 2023.

[19]

Deep Memory-Augmented Proximal Unrolling Network for Compressive Sensing

Jiechong Song, Bin Chen,Jian Zhang

International Journal of Computer Vision (IJCV), 2023.

[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.

[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.

[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.

[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.

[24]

Physics-Inspired Compressive Sensing: Beyond Deep Unrolling

Jian Zhang, Bin Chen, Ruiqin Xiong, Yongbing Zhang

IEEE Signal Processing Magazine (SPM), 2023.

Before 2023 (1 TPAMI, 13 TIP, 1 TOG, 2 TNNLS, 6 TMM, 7 TCSVT, 2 JSTSP; 6 CVPR, 3 ICCV, 2 ECCV, 1 NeurIPS, 10 DCC, 4 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.

[2]

TransCL: Transformer Makes Strong and Flexible Compressive Learning

Chong Mou,Jian Zhang

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.

[3]

Content-aware Scalable Deep Compressed Sensing

Bin Chen,Jian Zhang

IEEE Transactions on Image Processing (TIP), 2022.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[15]

Deep Generalized Unfolding Networks for Image Restoration

Chong Mou, Qian Wang,Jian Zhang

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

[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.

[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.

[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.

[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.

[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.

[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.

[22]

CAS: Correlation Adaptive Sparse Modeling for Image Denoising

Hangfan Liu,Jian Zhang, Ruiqin Xiong

IEEE Transactions on Computational Imaging (TCI), 2021.

[23]

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.

[24]

COLA-Net: Collaborative Attention Network for Image Restoration

Chong Mou,Jian Zhang, Xiaopeng Fan, Hangfan Liu, Ronggang Wang

IEEE Transactions on Multimedia (TMM), 2021.

[25]

Iterative Network for Image Super-Resolution

Yuqing Liu, Shiqi Wang,Jian Zhang, Shanshe Wang, Siwei Ma, Wen Gao

IEEE Transactions on Multimedia (TMM), 2021.

[26]

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.

[27]

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.

[28]

Dynamic Attentive Graph Learning for Image Restoration

Chong Mou,Jian Zhang, Zhuoyuan Wu

International Conference on Computer Vision (ICCV), 2021.

[29]

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.

[30]

Memory-Augmented Deep Unfolding Network for Compressive Sensing

Jiechong Song, Bin Chen,Jian Zhang

ACM International Conference on Multimedia (ACM MM), 2021.

[31]

Invertible Resampling-Based Layered Image Compression

Youmin Xu,Jian Zhang

Data Compression Conference (DCC), 2021.

[32]

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.

[33]

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.

[34]

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.

[35]

Optimization-Inspired Compact Deep Compressive Sensing

Jian Zhang, Chen Zhao, Wen Gao

IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2020.

[36]

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.

Oral Top Conference in Multimedia

[37]

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.

Presented at Siggraph 2020

[38]

ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

Poster Top Conference in Computer Vision

[39]

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.

[40]

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.

Oral Top Conference in Data Compression

[41]

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.

Oral Top Conference in Data Compression

[42]

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.

[43]

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.

Oral Top Conference in Data Compression

[44]

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.

[45]

Nonconvex Lp Nuclear Norm based ADMM Framework for Compressed Sensing

Chen Zhao,Jian Zhang, Siwei Ma, Wen Gao

Data Compression Conference (DCC), 2016.

Oral Top Conference in Data Compression

[46]

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.

[47]

Compressive-Sensed Image Coding via Stripe-based DPCM

Chen Zhao,Jian Zhang, Siwei Ma, Wen Gao

Data Compression Conference (DCC), 2016.

Oral Top Conference in Data Compression

[48]

Adaptive Motion Vector Resolution Scheme for Enhanced Video Coding

Zhao Wang,Jian Zhang, Nan Zhang, Siwei Ma

Data Compression Conference (DCC), 2016.

Oral Top Conference in Data Compression

[49]

Fourier Ptychographic Microscopy with Sparse Representation

Yongbing Zhang, Pengming Song,Jian Zhang, Qionghai Dai

Scientific reports (SR), 2017.

[50]

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.

[51]

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.

[52]

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.

Oral Best Student Paper Award

[53]

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.

[54]

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.

[55]

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.

[56]

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.

[57]

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.

[58]

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.

Poster Top Conference in Computer Vision

[59]

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.

[60]

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.

Oral Top Conference in Data Compression

[61]

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.

[62]

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.

Best Paper Award

[63]

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.

[64]

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.

[65]

Group-Based Sparse Representation for Image Restoration

Jian Zhang, Debin Zhao, Wen Gao

IEEE Transactions on Image Processing (TIP), 2014.

Highly Cited Paper

[66]

Structural Group Sparse Representation for Image Compressive Sensing Recovery

Jian Zhang, Debin Zhao, Feng Jiang, Wen Gao

Data Compression Conference (DCC), 2013.

Oral Top Conference in Data Compression

[67]

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.

[68]

Compressed Sensing Recovery via Collaborative Sparsity

Jian Zhang, Debin Zhao, Chen Zhao, Ruiqin Xiong, Siwei Ma, Wen Gao

Data Compression Conference (DCC), 2012.

Oral Top Conference in Data Compression

[69]

Interpolation-Dependent Image Downsampling

Yongbing Zhang, Debin Zhao,Jian Zhang, Ruiqin Xiong, Wen Gao

IEEE Transactions on Image Processing (TIP), 2011.

[70]

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.

Oral Best Paper Award

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