NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results. - Andreas Lugmayr; Martin Danelljan; Radu Timofte; Namhyuk Ahn; Dongwoon Bai; Jie Cai 001; Yun Cao 002; Junyang Chen 001; Kaihua Cheng; Se Young Chun; Wei Deng; Mostafa El-Khamy; et al. (CVPR Workshops, 2020)

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. - Pengxu Wei; Hannan Lu; Radu Timofte; Liang Lin; Wangmeng Zuo; Zhihong Pan 001; Baopu Li; Teng Xi; Yanwen Fan; Gang Zhang; Jingtuo Liu; Junyu Han; et al. (ECCV Workshops (3), 2020)

Semi-Supervised Hyperspectral Unmixing with Very Deep Convolutional Neural Networks. - Jiayu Bai; Ruyi Feng; Lizhe Wang 001; Hao Li 058; Fengpeng Li; Yanfei Zhong; Liangpei Zhang 001 (IGARSS, 2020)

Low-Rank Representation Incorporating Local Spatial Constraint for Hyperspectral Anomaly Detection. - Hao Li 058; Ruyi Feng; Lizhe Wang 001; Yanfei Zhong; Liangpei Zhang 001; Lifei Wei (IGARSS, 2021)

Superpixel-Based Reweighted Low-Rank and Total Variation Sparse Unmixing for Hyperspectral Remote Sensing Imagery. - Hao Li 058; Ruyi Feng; Lizhe Wang 001; Yanfei Zhong; Liangpei Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2021)

NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results. - Longguang Wang; Yulan Guo; Yingqian Wang 002; Juncheng Li 003; Shuhang Gu; Radu Timofte; Liangyu Chen 002; Xiaojie Chu; Wenqing Yu; Kai Jin; Zeqiang Wei; Sha Guo; et al. (CVPR Workshops, 2022)

Progressive representation recalibration for lightweight super-resolution. - Ruimian Wen; Zhijing Yang; Tianshui Chen; Hao Li 058; Kai Li (Neurocomputing, 2022)

DnSwin: Toward real-world denoising via a continuous Wavelet Sliding Transformer. - Hao Li 058; Zhijing Yang; Xiaobin Hong; Ziying Zhao; Junyang Chen 001; Yukai Shi; Jinshan Pan (Knowl. Based Syst., 2022)

Criteria Comparative Learning for Real-Scene Image Super-Resolution. - Yukai Shi; Hao Li 058; Sen Zhang 006; Zhijing Yang; Xiao Wang 014 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Local Spatial Constraint and Total Variation for Hyperspectral Anomaly Detection. - Ruyi Feng; Hao Li 058; Lizhe Wang 001; Yanfei Zhong; Liangpei Zhang 001; Tieyong Zeng (IEEE Trans. Geosci. Remote. Sens., 2022)

Hybrid CNN-Transformer Feature Fusion for Single Image Deraining. - Xiang Chen 015; Jinshan Pan; Jiyang Lu; Zhentao Fan; Hao Li 058 (AAAI, 2023)

Learning A Sparse Transformer Network for Effective Image Deraining. - Xiang Chen 015; Hao Li 058; Mingqiang Li; Jinshan Pan (CVPR, 2023)

NTIRE 2023 Challenge on Image Denoising: Methods and Results. - Yawei Li 001; Yulun Zhang 001; Radu Timofte; Luc Van Gool; Zhijun Tu; Kunpeng Du; Hailing Wang; Hanting Chen; Wei Li 002; Xiaofei Wang; Jie Hu 021; Yunhe Wang 001; et al. (CVPR Workshops, 2023)

NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results. - Longguang Wang; Yulan Guo; Yingqian Wang 002; Juncheng Li 003; Shuhang Gu; Radu Timofte; Ming Cheng 002; Haoyu Ma; Qiufang Ma; Xiaopeng Sun; Shijie Zhao 001; Xuhan Sheng; et al. (CVPR Workshops, 2023)

A Closer Look at Classifier in Adversarial Domain Generalization. - Ye Wang 023; Junyang Chen 001; Mengzhu Wang; Hao Li 058; Wei Wang 335; Houcheng Su; Zhihui Lai 001; Wei Wang 077; Zhenghan Chen (ACM Multimedia, 2023)

Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt. - Hao Li 058; Dingwen Zhang; Nian Liu; Lechao Cheng; Yalun Dai; Chao Zhang; Xinggang Wang; Junwei Han 001 (CoRR, 2023)

Real-World Image Super-Resolution by Exclusionary Dual-Learning. - Hao Li 058; Jinghui Qin; Zhijing Yang; Pengxu Wei; Jinshan Pan; Liang Lin; Yukai Shi (IEEE Trans. Multim., 2023)

OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup. - Zhijing Yang; Junyang Chen 002; Yukai Shi; Hao Li 058; Tianshui Chen; Liang Lin (IEEE Trans. Multim., 2023)

Collaborative Feedback Discriminative Propagation for Video Super-Resolution. - Hao Li 058; Xiang Chen 015; Jiangxin Dong; Jinhui Tang 001; Jinshan Pan (CoRR, 2024)

Technique Report of CVPR 2024 PBDL Challenges. - Ying Fu 001; Yu Li 003; Shaodi You; Boxin Shi; Jose Alvarez; Coert Van Gemeren; Linwei Chen; Yunhao Zou; Zichun Wang; Yichen Li; Yuze Han; Yingkai Zhang; et al. (CoRR, 2024)

VDG: Vision-Only Dynamic Gaussian for Driving Simulation. - Hao Li 058; Jingfeng Li; Dingwen Zhang; Chenming Wu; Jieqi Shi; Chen Zhao 011; Haocheng Feng; Errui Ding; Jingdong Wang 001; Junwei Han 001 (CoRR, 2024)

XLD: A Cross-Lane Dataset for Benchmarking Novel Driving View Synthesis. - Hao Li 058; Ming Yuan; Yan Zhang; Chenming Wu; Chen Zhao 011; Chunyu Song; Haocheng Feng; Errui Ding; Dingwen Zhang; Jingdong Wang 001 (CoRR, 2024)

FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restoration. - Hao Li 058; Xiang Chen 015; Jiangxin Dong; Jinhui Tang 001; Jinshan Pan (CoRR, 2024)

Federated continual representation learning for evolutionary distributed intrusion detection in Industrial Internet of Things. - Zhao Zhang 001; Yong Zhang; Hao Li 058; Shenbo Liu; Wei Chen; Zhigang Zhang; Lijun Tang (Eng. Appl. Artif. Intell., 2024)

Medical image translation with deep learning: Advances, datasets and perspectives. - Junxin Chen 001; Zhiheng Ye; Renlong Zhang; Hao Li 058; Bo Fang; Li-bo Zhang 004; Wei Wang 077 (Medical Image Anal., 2025)