Revisiting GANs by Best-Response Constraint: Perspective, Methodology, and Application. - Risheng Liu; Jiaxin Gao 001; Xuan Liu 011; Xin Fan 001 (CoRR, 2022)

Investigating Bi-Level Optimization for Learning and Vision From a Unified Perspective: A Survey and Beyond. - Risheng Liu; Jiaxin Gao 001; Jin Zhang 002; Deyu Meng; Zhouchen Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Motion-Scenario Decoupling for Rat-Aware Video Position Prediction: Strategy and Benchmark. - Xiaofeng Liu 001; Jiaxin Gao 001; Yaohua Liu; Nenggan Zheng; Risheng Liu (ICIG (2), 2023)

PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation. - Xianghao Jiao; Yaohua Liu; Jiaxin Gao 001; Xinyuan Chu; Xin Fan 001; Risheng Liu (ACM Multimedia, 2023)

NFI2: Learning Noise-Free Illuminance-Interpolator for Unsupervised Low-Light Image Enhancement. - Xiaofeng Liu 001; Jiaxin Gao 001; Ziyu Yue; Xin Fan 001; Risheng Liu (CoRR, 2023)

Diving into Darkness: A Dual-Modulated Framework for High-Fidelity Super-Resolution in Ultra-Dark Environments. - Jiaxin Gao 001; Ziyu Yue; Yaohua Liu; Sihan Xie; Xin Fan 001; Risheng Liu (CoRR, 2023)

Learn from the Past: A Proxy based Adversarial Defense Framework to Boost Robustness. - Yaohua Liu; Jiaxin Gao 001; Zhu Liu 004; Xianghao Jiao; Xin Fan 001; Risheng Liu (CoRR, 2023)

Learning adaptive hyper-guidance via proxy-based bilevel optimization for image enhancement. - Jiaxin Gao 001; Xiaokun Liu; Risheng Liu; Xin Fan 001 (Vis. Comput., 2023)

Unveiling Details in the Dark: Simultaneous Brightening and Zooming for Low-Light Image Enhancement. - Ziyu Yue; Jiaxin Gao 001; Zhixun Su (AAAI, 2024)

Bi-level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image Segmentation. - Xin Fan 001; Xiaolin Wang; Jiaxin Gao 001; Jia Wang; Zhongxuan Luo; Risheng Liu (CVPR, 2024)

Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation. - Yaohua Liu; Jiaxin Gao 001; Xuan Liu 011; Xianghao Jiao; Xin Fan 001; Risheng Liu (IJCAI, 2024)

Enhancing Images with Coupled Low-Resolution and Ultra-Dark Degradations: A Tri-level Learning Framework. - Jiaxin Gao 001; Yaohua Liu (ACM Multimedia, 2024)

LoLiSRFlow: Joint Single Image Low-light Enhancement and Super-resolution via Cross-scale Transformer-based Conditional Flow. - Ziyu Yue; Jiaxin Gao 001; Sihan Xie; Yang Liu 119; Zhixun Su (CoRR, 2024)

Breaking the water dilemma: Transmission-guided bilevel adaptive learning for underwater imagery. - Sihan Xie; Peiming Li; Jiaxin Gao 001; Ziyu Yue; Xin Fan 001; Risheng Liu (Neurocomputing, 2024)

Learning With Constraint Learning: New Perspective, Solution Strategy and Various Applications. - Risheng Liu; Jiaxin Gao 001; Xuan Liu 011; Xin Fan 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Collaborative brightening and amplification of low-light imagery via bi-level adversarial learning. - Jiaxin Gao 001; Yaohua Liu; Ziyu Yue; Xin Fan 001; Risheng Liu (Pattern Recognit., 2024)

Uncertainty-Aware Sparse Transformer Network for Single-Image Deraindrop. - Bo Fu 001; Yunyun Jiang; Di Wang 018; Jiaxin Gao 001; Cong Wang 018; Ximing Li 002 (IEEE Trans. Instrum. Meas., 2024)

A Dual-Stream-Modulated Learning Framework for Illuminating and Super-Resolving Ultra-Dark Images. - Jiaxin Gao 001; Ziyu Yue; Yaohua Liu; Sihan Xie; Xin Fan 001; Risheng Liu (IEEE Trans. Neural Networks Learn. Syst., 2025)

SNOC: Subtle Nested Objective Configuration for Joint Ultra-Low-Light Enhancement and Super-Resolution. - Jiaxin Gao 001; Yaohua Liu; Danchen Cui; Zhihui Zhao (ICMR, 2026)