Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling. - Hansen Feng; Lizhi Wang 001; Yuzhi Wang; Hua Huang 001 (ACM Multimedia, 2022)

Stimulating the Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling. - Tong Li 016; Hansen Feng; Lizhi Wang 001; Zhiwei Xiong; Hua Huang 001 (CoRR, 2023)

Physics-guided Noise Neural Proxy for Low-light Raw Image Denoising. - Hansen Feng; Lizhi Wang 001; Yiqi Huang; Yuzhi Wang; Hua Huang 001 (CoRR, 2023)

Learnability Enhancement for Low-Light Raw Image Denoising: A Data Perspective. - Hansen Feng; Lizhi Wang 001; Yuzhi Wang; Haoqiang Fan; Hua Huang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Stimulating Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling. - Tong Li 016; Hansen Feng; Lizhi Wang 001; Lin Zhu 012; Zhiwei Xiong; Hua Huang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

PDE: Gene Effect Inspired Parameter Dynamic Evolution for Low-light Image Enhancement. - Tong Li 016; Lizhi Wang 001; Hansen Feng; Lin Zhu 012; Hua Huang 001 (CoRR, 2025)

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency. - Hansen Feng; Lizhi Wang 001; Yiqi Huang; Tong Li 016; Lin Zhu 012; Hua Huang 001 (CoRR, 2025)