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

LoLiSRFlow: Joint Single Image Low-light Enhancement and Super-resolution via Cross-scale Transformer-based Conditional Flow. - Ziyu Yue; Jiaxin Gao; 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; Ziyu Yue; Xin Fan 001; Risheng Liu (Neurocomputing, 2024)

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

Medical Image De-Identification Benchmark Challenge. - Linmin Pei; Sutton Granger; Michael W. Rutherford; Ulrike Wagner; Tracy S. Nolan; Kirk E. Smith; Phillip Farmer; Peter Gu; Ambar Rana; Kailing Chen; Thomas Ferleman; Brian Park; et al. (CoRR, 2025)