博士，高级工程师，2019年在香港中文大学获得博士学位，2014年在清华大学获得学士学位。主要研究方向为生成模型理论和方法，以及利用生成模型解决其他任务，包括图像生成、编辑和增强，不确定性学习，强化学习策略生成和优化等。

生成模型

1. Shi, Wu; Qiao, Yu ; Fast Texture Synthesis via Pseudo Optimizer, IEEE/CVF Conference on Computer Vision and Pattern Recognition 2020, 2020.
2. Shang, Lei; Huang, Mouxiao; Shi, Wu*; Liu, Yuchen; Liu, Yang; Wang, Steven; Sun, Baigui; Xie, Xuansong; Qiao, Yu ; Improving Training and Inference of Face Recognition Models via Random Temperature Scaling, The Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023.
3. He, Jingwen; Shi, Wu; Chen, Kai; Fu, Lean; Dong, Chao ; GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors, IEEE/CVF Conference on Computer Vision and Pattern Recognition 2022, 2022.
4. Qi, Song; Shi, Wu*; Ge, Guojing; Chang, Liang ; Degradation Conditioned GAN for Degradation Generalization of Face Restoration Models, 2023 IEEE International Conference on Image Processing, 2023.
5. Wu, Jinfeng; Shi, Wu* ; Improving GAN Performance Using Confidence-Aware Discrimination, 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2025.
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