On the Flatness of Loss Surface for Two-layered ReLU Networks. - Jiezhang Cao; Qingyao Wu; Yuguang Yan; Li Wang 033; Mingkui Tan (ACML, 2017)

Tensor Based Relations Ranking for Multi-relational Collective Classification. - Chao Han 002; Qingyao Wu; Michael K. Ng 001; Jiezhang Cao; Mingkui Tan; Jian Chen 011 (ICDM, 2017)

Adversarial Learning with Local Coordinate Coding. - Jiezhang Cao; Yong Guo; Qingyao Wu; Chunhua Shen; Junzhou Huang; Mingkui Tan (ICML, 2018)

Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data. - Yifan Zhang 004; Peilin Zhao; Jiezhang Cao; Wenye Ma; Junzhou Huang; Qingyao Wu; Mingkui Tan (KDD, 2018)

Dual Reconstruction Nets for Image Super-Resolution with Gradient Sensitive Loss. - Yong Guo; Qi Chen 014; Jian Chen 011; Junzhou Huang; Yanwu Xu 001; Jiezhang Cao; Peilin Zhao; Mingkui Tan (CoRR, 2018)

Oversampling for Imbalanced Data via Optimal Transport. - Yuguang Yan; Mingkui Tan; Yanwu Xu 001; Jiezhang Cao; Michael K. Ng 001; Huaqing Min; Qingyao Wu (AAAI, 2019)

From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification. - Yifan Zhang 004; Hanbo Chen; Ying Wei 001; Peilin Zhao; Jiezhang Cao; Xinjuan Fan; Xiaoying Lou; Hailing Liu; Jinlong Hou; Xiao Han 011; Jianhua Yao 001; Qingyao Wu; et al. (MICCAI (1), 2019)

Multi-marginal Wasserstein GAN. - Jiezhang Cao; Langyuan Mo; Yifan Zhang 004; Kui Jia; Chunhua Shen; Mingkui Tan (NeurIPS, 2019)

Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution. - Yong Guo; Jian Chen 011; Jingdong Wang 001; Qi Chen 014; Jiezhang Cao; Zeshuai Deng; Yanwu Xu 001; Mingkui Tan (CVPR, 2020)

Generative Low-Bitwidth Data Free Quantization. - Shoukai Xu; Haokun Li; Bohan Zhuang; Jing Liu 048; Jiezhang Cao; Chuangrun Liang; Mingkui Tan (ECCV (12), 2020)

Joint Wasserstein Distribution Matching. - Jiezhang Cao; Langyuan Mo; Qing Du; Yong Guo; Peilin Zhao; Junzhou Huang; Mingkui Tan (CoRR, 2020)

A Thorough Comparison Study on Adversarial Attacks and Defenses for Common Thorax Disease Classification in Chest X-rays. - Chendi Rao; Jiezhang Cao; Runhao Zeng; Qi Chen 014; Huazhu Fu; Yanwu Xu 001; Mingkui Tan (CoRR, 2020)

SwinIR: Image Restoration Using Swin Transformer. - Jingyun Liang; Jiezhang Cao; Guolei Sun; Kai Zhang 008; Luc Van Gool; Radu Timofte (ICCVW, 2021)

Learning Defense Transformers for Counterattacking Adversarial Examples. - Jincheng Li 002; Jiezhang Cao; Yifan Zhang 004; Jian Chen 011; Mingkui Tan (CoRR, 2021)

Internal Wasserstein Distance for Adversarial Attack and Defense. - Mingkui Tan; Shuhai Zhang; Jiezhang Cao; Jincheng Li 002; Yanwu Xu 001 (CoRR, 2021)

LocalViT: Bringing Locality to Vision Transformers. - Yawei Li 001; Kai Zhang 008; Jiezhang Cao; Radu Timofte; Luc Van Gool (CoRR, 2021)

Video Super-Resolution Transformer. - Jiezhang Cao; Yawei Li 001; Kai Zhang 008; Luc Van Gool (CoRR, 2021)

Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold. - Mingkui Tan; Zhibin Hu; Yuguang Yan; Jiezhang Cao; Dong Gong; Qingyao Wu (IEEE Trans. Knowl. Data Eng., 2021)

Online Adaptive Asymmetric Active Learning With Limited Budgets. - Yifan Zhang 004; Peilin Zhao; Shuaicheng Niu; Qingyao Wu; Jiezhang Cao; Junzhou Huang; Mingkui Tan (IEEE Trans. Knowl. Data Eng., 2021)

Reference-Based Image Super-Resolution with Deformable Attention Transformer. - Jiezhang Cao; Jingyun Liang; Kai Zhang 008; Yawei Li 001; Yulun Zhang 001; Wenguan Wang; Luc Van Gool (ECCV (18), 2022)

Towards Interpretable Video Super-Resolution via Alternating Optimization. - Jiezhang Cao; Jingyun Liang; Kai Zhang 008; Wenguan Wang; Qin Wang 013; Yulun Zhang 001; Hao Tang 005; Luc Van Gool (ECCV (18), 2022)

Recurrent Video Restoration Transformer with Guided Deformable Attention. - Jingyun Liang; Yuchen Fan; Xiaoyu Xiang; Rakesh Ranjan; Eddy Ilg; Simon Green; Jiezhang Cao; Kai Zhang 008; Radu Timofte; Luc Van Gool (NeurIPS, 2022)

Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis. - Kai Zhang 008; Yawei Li 001; Jingyun Liang; Jiezhang Cao; Yulun Zhang 001; Hao Tang 005; Radu Timofte; Luc Van Gool (CoRR, 2022)

Practical Real Video Denoising with Realistic Degradation Model. - Jiezhang Cao; Qin Wang 013; Jingyun Liang; Yulun Zhang 001; Kai Zhang 008; Luc Van Gool (CoRR, 2022)

Towards interpreting deep neural networks via layer behavior understanding. - Jiezhang Cao; Jincheng Li 002; Xiping Hu; Xiangmiao Wu; Mingkui Tan (Mach. Learn., 2022)

Improving Generative Adversarial Networks With Local Coordinate Coding. - Jiezhang Cao; Yong Guo; Qingyao Wu; Chunhua Shen; Junzhou Huang; Mingkui Tan (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution. - Jiezhang Cao; Qin Wang 013; Yongqin Xian; Yawei Li 001; Bingbing Ni; Zhiming Pi; Kai Zhang 008; Yulun Zhang 001; Radu Timofte; Luc Van Gool (CVPR, 2023)

LSDIR: A Large Scale Dataset for Image Restoration. - Yawei Li 001; Kai Zhang 008; Jingyun Liang; Jiezhang Cao; Ce Liu 004; Rui Gong; Yulun Zhang 001; Hao Tang 005; Yun Liu 011; Denis Demandolx; Rakesh Ranjan; Radu Timofte; et al. (CVPR Workshops, 2023)

Event-Based Frame Interpolation with Ad-hoc Deblurring. - Lei Sun 009; Christos Sakaridis; Jingyun Liang; Peng Sun; Kai Zhang 008; Jiezhang Cao; Qi Jiang; Kaiwei Wang; Luc Van Gool (CVPR, 2023)

Denoising Diffusion Models for Plug-and-Play Image Restoration. - Yuanzhi Zhu; Kai Zhang 008; Jingyun Liang; Jiezhang Cao; Bihan Wen; Radu Timofte; Luc Van Gool (CVPR Workshops, 2023)

LocalViT: Analyzing Locality in Vision Transformers. - Yawei Li 001; Kai Zhang 008; Jiezhang Cao; Radu Timofte; Michele Magno; Luca Benini; Luc Van Gool (IROS, 2023)

MSFA-Frequency-Aware Transformer for Hyperspectral Images Demosaicing. - Haijin Zeng; Kai Feng; Shaoguang Huang; Jiezhang Cao; Yongyong Chen; Hongyan Zhang 001; Hiep Luong 001; Wilfried Philips (CoRR, 2023)

Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising. - Haijin Zeng; Jiezhang Cao; Kai Feng; Shaoguang Huang; Hongyan Zhang 001; Hiep Luong 001; Wilfried Philips (CoRR, 2023)

Learning defense transformations for counterattacking adversarial examples. - Jincheng Li 002; Shuhai Zhang; Jiezhang Cao; Mingkui Tan (Neural Networks, 2023)

Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis. - Kai Zhang 008; Yawei Li 001; Jingyun Liang; Jiezhang Cao; Yulun Zhang 001; Hao Tang 005; Deng-Ping Fan; Radu Timofte; Luc Van Gool (Mach. Intell. Res., 2023)

Deep Equilibrium Diffusion Restoration with Parallel Sampling. - Jiezhang Cao; Yue Shi; Kai Zhang 008; Yulun Zhang 001; Radu Timofte; Luc Van Gool (CVPR, 2024)

DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model. - Zhenghao Pan; Haijin Zeng; Jiezhang Cao; Kai Zhang 008; Yongyong Chen (CVPR, 2024)

Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising. - Haijin Zeng; Jiezhang Cao; Kai Zhang 008; Yongyong Chen; Hiep Luong 001; Wilfried Philips (CVPR, 2024)

Dual Prior Unfolding for Snapshot Compressive Imaging. - Jiancheng Zhang 003; Haijin Zeng; Jiezhang Cao; Yongyong Chen; Dengxiu Yu; Yin-Ping Zhao (CVPR, 2024)

MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging. - Zhenghao Pan; Haijin Zeng; Jiezhang Cao; Yongyong Chen; Kai Zhang 008; Yong Xu 001 (NeurIPS, 2024)

Distillation-Free One-Step Diffusion for Real-World Image Super-Resolution. - Jianze Li; Jiezhang Cao; Zichen Zou; Xiongfei Su; Xin Yuan 002; Yulun Zhang 001; Yong Guo; Xiaokang Yang 001 (CoRR, 2024)

MEMO-Bench: A Multiple Benchmark for Text-to-Image and Multimodal Large Language Models on Human Emotion Analysis. - Yingjie Zhou 003; Zicheng Zhang; Jiezhang Cao; Jun Jia; Yanwei Jiang; Farong Wen; Xiaohong Liu 001; Xiongkuo Min; Guangtao Zhai (CoRR, 2024)

VRT: A Video Restoration Transformer. - Jingyun Liang; Jiezhang Cao; Yuchen Fan; Kai Zhang 008; Rakesh Ranjan; Yawei Li 001; Radu Timofte; Luc Van Gool (IEEE Trans. Image Process., 2024)

Deep Beyond Pixels: Enhancing Super-Resolution via Deep Learning. - Jiezhang Cao (2024)

Inheriting Bayer's Legacy: Joint Remosaicing and Denoising for Quad Bayer Image Sensor. - Haijin Zeng; Kai Feng; Jiezhang Cao; Shaoguang Huang; Yongqiang Zhao 001; Hiep Quang Luong 001; Jan Aelterman; Wilfried Philips (Int. J. Comput. Vis., 2024)

Towards Lightweight Super-Resolution With Dual Regression Learning. - Yong Guo; Mingkui Tan; Zeshuai Deng; Jingdong Wang 001; Qi Chen 014; Jiezhang Cao; Yanwu Xu 001; Jian Chen 011 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Mipmap-GS: Let Gaussians Deform with Scale-Specific Mipmap for Anti-Aliasing Rendering. - Jiameng Li; Yue Shi; Jiezhang Cao; Bingbing Ni; Wenjun Zhang 001; Kai Zhang 008; Luc Van Gool (3DV, 2025)

Restabilizing Diffusion Models with Predictive Noise Fusion Strategy for Image Super-Resolution. - Luoqian Jiang; Yong Guo; Bingna Xu; Haolin Pan; Jiezhang Cao; Wenbo Li 002; Jian Chen 011 (AAAI, 2025)

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results. - Xiaohong Liu 001; Xiongkuo Min; Qiang Hu 003; Xiaoyun Zhang 001; Jie Guo; Guangtao Zhai; Shushi Wang; Yingjie Zhou 003; Lu Liu 005; Jingxin Li; Liu Yang; Farong Wen; et al. (CVPR Workshops, 2025)

Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising. - Haijin Zeng; Kai Feng; Xudong Zhao 003; Jiezhang Cao; Shaoguang Huang; Hiep Luong 001; Wilfried Philips (IEEE Trans. Geosci. Remote. Sens., 2025)

One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation. - Jianze Li; Jiezhang Cao; Yong Guo; Wenbo Li 002; Yulun Zhang 001 (CoRR, 2025)

One-Step Diffusion Model for Image Motion-Deblurring. - Xiaoyang Liu; Yuquan Wang; Zheng Chen 014; Jiezhang Cao; He Zhang 004; Yulun Zhang 001; Xiaokang Yang 001 (CoRR, 2025)

Freqformer: Image-Demoiréing Transformer via Efficient Frequency Decomposition. - Xiaoyang Liu; Bolin Qiu; Jiezhang Cao; Zheng Chen 014; Yulun Zhang 001; Xiaokang Yang 001 (CoRR, 2025)

Who is a Better Talker: Subjective and Objective Quality Assessment for AI-Generated Talking Heads. - Yingjie Zhou 003; Jiezhang Cao; Zicheng Zhang; Farong Wen; Yanwei Jiang; Jun Jia; Xiaohong Liu 001; Xiongkuo Min; Guangtao Zhai (CoRR, 2025)

Who is a Better Player: LLM against LLM. - Yingjie Zhou 003; Jiezhang Cao; Farong Wen; Li Xu 008; Yanwei Jiang; Jun Jia; Ronghui Li; Xiaohong Liu 001; Yu Zhou 016; Xiongkuo Min; Jie Guo; Zicheng Zhang; et al. (CoRR, 2025)