I am a PhD student under the supervision of Yanye Lu at Peking University. I also closely collaborate with Guoqi Li and Man Yao from the Institute of Automation at the Chinese Academy of Sciences. My research interests primarily include Computational Imaging, Vision Generation, and Brain-inspired deep learning.

My recent work primarily focuses on discovering potential inductive biases in visual restoration and generation tasks, while enhancing vision restoration systems through the lenses of pre-training, training, and reasoning based on these biases.

🔥 News

• 2025.01:  🎉🎉 One paper is accepted by International Conference on Learning Representations (ICLR 2025).
• 2024.12:  🎉🎉 One paper is accepted as oral by AAAI Conference on Artificial Intelligence (AAAI 2025).
• 2024.04:  🎉🎉 One paper is accepted as spotlight by International Conference on Machine Learning (ICML 2024).
• 2023.09:  🎉🎉 One paper is accepted as poster by Conference on Neural Information Processing Systems (NeurIPS 2023).
• 2023.06:  🎉🎉 One paper is accepted as poster by International Conference on Computer Vision (ICCV 2023).

📝 Publications

Universal Image Restoration Pre-training via Degradation Classification
JiaKui Hu, Lujia Jin, Zhengjian Yao, Yanye Lu$^*$

ICLR 2025 | Paper | Code | blog (Chinese)

In this paper, we report three interesting findings:

• Randomly initialized models demonstrate an inherent capability to classify degradation.
• Models trained on the all-in-one task exhibit the ability to discern unkown degradation.
• There is a degradation understanding step in the early training of the restoration model.

Based on these findings, to ensure superior restoration performance, it is imperative that the restoration model attains sufficient degradation classification capabilities before training.

🎖 Honors and Awards

• 2021 National Scholarship, China, Xidian University
• 2020 National Scholarship, China, Xidian University

📖 Educations

• 2022.09 - present, PhD student, Peking University.
• 2019.09 - 2023.06, Undergraduate, Xidian University.

📫 Academic Services

Conference Reviewer

• IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024, 2025
• International Conference on Learning Representations (ICLR) 2025

💻 Experience

• 2024.10 - present, Internship, at Baidu Vis, China.
• 2023.09 - present, PhD student, at Peking University, China.
• 2021.09 - 2022.01, Internship, at OneFlow, China.