噪声建模，图像去噪，底层视觉，计算摄影学

2016.09 - 2020.06

北京科技大学智能科学与技术   学士

1. [1] Hansen Feng, Lizhi Wang, Yuzhi Wang, Hua Huang. Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling[C]. Proceedings of the 30th ACM International Conference on Multimedia (ACMMM). 2022: 1436-1444. (CCF-A类会议, 最佳论文候选，入选率0.07%)

2. [2] Hansen Feng, Lizhi Wang, Yuzhi Wang, Haoqiang Fan, Hua Huang. Learnability Enhancement for Low-Light Raw Image Denoising: A Data Perspective[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2024: 46 (1), 370-387. (CCF-A类期刊，IF=18.6)

3. [3] Tong Li*, Hansen Feng*, Lizhi Wang, Zhiwei Xiong and Hua Huang. Stimulating the Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2024: 46 (12), 8240-8257. (CCF-A类期刊，IF=18.6)

4. [4] Hansen Feng, Lizhi Wang, Yiqi Huang, Yuzhi Wang and Hua Huang. Physics-guided Noise Neural Proxy for Practical Low-light Raw Image Denoising[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, Major Revision). 2024.

5. [5] Hansen Feng, Lizhi Wang, Yiqi Huang, Tong Li, Lin Zhu and Hua Huang. YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, Minor Revision). 2025.

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• 专利：

• [1] 王立志，冯汉森，汪彧之，许勤，黄华.《一种基于噪声建模的图像去噪方法》.