On the Convergence of ADMM with Task Adaption and Beyond. - Risheng Liu; Pan Mu; Jin Zhang 002 (CoRR, 2019)

Learning Bilevel Layer Priors for Single Image Rain Streaks Removal. - Pan Mu; Jian Chen; Risheng Liu; Xin Fan 001; Zhongxuan Luo (IEEE Signal Process. Lett., 2019)

Image Restoration Via Data-Dependent Proximal Averaged Optimization. - Pan Mu; Jian Chen; Risheng Liu; Wei Zhong; Xin Fan 001; Zhongxuan Luo (ICASSP, 2020)

Sequential Deep Unrolling With Flow Priors For Robust Video Deraining. - Xinwei Xue; Ying Ding 006; Pan Mu; Long Ma 002; Risheng Liu; Xin Fan 001 (ICASSP, 2020)

Flexible Bilevel Image Layer Modeling For Robust Deraining. - Jian Chen; Pan Mu; Risheng Liu; Xin Fan 001; Zhongxuan Luo (ICME, 2020)

A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton. - Risheng Liu; Pan Mu; Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (ICML, 2020)

Learning Optimization-inspired Image Propagation with Control Mechanisms and Architecture Augmentations for Low-level Vision. - Risheng Liu; Zhu Liu 004; Pan Mu; Zhouchen Lin; Xin Fan 001; Zhongxuan Luo (CoRR, 2020)

A Control Parameterization Method to Solve the Fractional-Order Optimal Control Problem. - Pan Mu; Lei Wang 035; Chongyang Liu (J. Optim. Theory Appl., 2020)

Investigating Task-Driven Latent Feasibility for Nonconvex Image Modeling. - Risheng Liu; Pan Mu; Jian Chen; Xin Fan 001; Zhongxuan Luo (IEEE Trans. Image Process., 2020)

A Generic Descent Aggregation Framework for Gradient-based Bi-level Optimization. - Risheng Liu; Pan Mu; Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (CoRR, 2021)

Investigating Customization Strategies and Convergence Behaviors of Task-Specific ADMM. - Risheng Liu; Pan Mu; Jin Zhang 002 (IEEE Trans. Image Process., 2021)

Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 Challenge: Report. - Andrey Ignatov; Radu Timofte; Jin Zhang; Feng Zhang 047; Gaocheng Yu; Zhe Ma; Hongbin Wang 006; Minsu Kwon; Haotian Qian; Wentao Tong; Pan Mu; Ziping Wang; et al. (ECCV Workshops (3), 2022)

Structure-Inferred Bi-level Model for Underwater Image Enhancement. - Pan Mu; Haotian Qian; Cong Bai (ACM Multimedia, 2022)

Real-world Underwater Image Enhancement via Degradation-aware Dynamic Network. - Haotian Qian; Wentao Tong; Pan Mu; Zheyuan Liu 009; Hanning Xu (PRICAI (3), 2022)

Triple-Level Model Inferred Collaborative Network Architecture for Video Deraining. - Pan Mu; Zhu Liu 004; Yaohua Liu; Risheng Liu; Xin Fan 001 (IEEE Trans. Image Process., 2022)

Towards General and Fast Video Derain via Knowledge Distillation. - Defang Cai; Pan Mu; Sixian Chan 001; Zhanpeng Shao; Cong Bai (ICME, 2023)

Histogram-guided Video Colorization Structure with Spatial-Temporal Connection. - Zheyuan Liu 009; Pan Mu; Hanning Xu; Cong Bai (ICME, 2023)

Transmission and Color-guided Network for Underwater Image Enhancement. - Pan Mu; Jing Fang; Haotian Qian; Cong Bai (ICME, 2023)

Little Strokes Fell Great Oaks: Boosting the Hierarchical Features for Multi-exposure Image Fusion. - Pan Mu; Zhiying Du; Jinyuan Liu 001; Cong Bai (ACM Multimedia, 2023)

A Generalized Physical-knowledge-guided Dynamic Model for Underwater Image Enhancement. - Pan Mu; Hanning Xu; Zheyuan Liu 009; Zheng Wang 059; Sixian Chan 001; Cong Bai (ACM Multimedia, 2023)

Pure Detail Feature Extraction Network for Visible-Infrared Re-Identification. - Jiaao Cui; Sixian Chan 001; Pan Mu; Tinglong Tang; Xiaolong Zhou 001 (Intell. Autom. Soft Comput., 2023)

A General Descent Aggregation Framework for Gradient-Based Bi-Level Optimization. - Risheng Liu; Pan Mu; Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Optimization-Inspired Learning With Architecture Augmentations and Control Mechanisms for Low-Level Vision. - Risheng Liu; Zhu Liu 004; Pan Mu; Xin Fan 001; Zhongxuan Luo (IEEE Trans. Image Process., 2023)

Phy-CoCo: Physical Constraint-Based Correlation Learning for Tropical Cyclone Intensity and Size Estimation. - Hanting Yan; Pan Mu; Cheng Huang; Jinglin Zhang; Cong Bai (ECAI, 2024)

BFMEF: Brightness-Free Multi-exposure Image Fusion via Adaptive Correction. - Pan Mu; Binjia Zhou; Qirui Wang; Zhiying Du; Xiaoyan Wang (ICME, 2024)

TCP-Diffusion: A Multi-modal Diffusion Model for Global Tropical Cyclone Precipitation Forecasting with Change Awareness. - Cheng Huang; Pan Mu; Cong Bai; Peter AG Watson (CoRR, 2024)

Learning to Search a Lightweight Generalized Network for Medical Image Fusion. - Pan Mu; Guanyao Wu; Jinyuan Liu 001; Yuduo Zhang; Xin Fan 001; Risheng Liu (IEEE Trans. Circuits Syst. Video Technol., 2024)

Underwater image enhancement via color conversion and white balance-based fusion. - Hanning Xu; Pan Mu; Zheyuan Liu 009; Shichao Cheng (Vis. Comput., 2024)

TC-Diffuser: Bi-Condition Multi-Modal Diffusion for Tropical Cyclone Forecasting. - Shiqi Zhang 009; Pan Mu; Cheng Huang; Jinglin Zhang; Cong Bai (AAAI, 2025)

NeighborRetr: Balancing Hub Centrality in Cross-Modal Retrieval. - Zengrong Lin; Zheng Wang 059; Tianwen Qian; Pan Mu; Sixian Chan 001; Cong Bai (CVPR, 2025)

Prompt-UIE: A Unified Prompt-Driven Framework for Underwater Image Enhancement. - Yanling Zhang; Linxuan Luo; Pan Mu; Cong Bai (ICASSP, 2025)

Lightweight Multi-Stage Aggregation Transformer for robust medical image segmentation. - Xiaoyan Wang 007; Yating Zhu; Ying Cui; Xiaojie Huang; Dongyan Guo; Pan Mu; Ming Xia; Cong Bai; Zhongzhao Teng; Shengyong Chen (Medical Image Anal., 2025)