Master in Computer Science
Student, Beijing Institute of Technology
Resume | Blog
I am a graduate student at Beijing Institute of Technology, advised by Prof. Ying Fu.
My research interest lies in the optimization and computer vision. Previously, I primarily worked on diffusion models, proximal algorithm modeling, and image restoration. I also gained experience in some high-level vision tasks during the internship at OpenGVLab.
News
- 2023-5-5: Delta-Prox is accepted by SIGGRAPH TOG.
- 2022-1-27: DPHSIR is accepted by Neurocomputing.
Selected Publications
-
∇-Prox: Differentiable Proximal Algorithm Modeling for Large-Scale Optimization
SIGGRAPH TOG, ACM Transactions on Graphics.[website] [code] [colab]
-
Hybrid Spectral Denoising Transformer with Learnable Query
Preprint, arXiv preprint arXiv:2209.08240.[code]
-
Hyperspectral Image Super Resolution with Real Unaligned RGB Guidance
Preprint, arXiv preprint arXiv:2302.06298.[website] [code]
Experiences
- 2022-5 ~ Now: Research intern at Shanghai AI laboratory, advised by Wenhai Wang.
- 2019-7 ~ 2020-3: Algorithm intern at Kuaishou Technology, Y-Tech.
Services
Journal reviewer: TIP / TGRS
Conference reviewer: CVPR 2022 / ICCV 2021 / PBDL 2021 / ACMMM 2021
Awards
- National Scholarship China (2022)
- Academic Scholarship of Beijing Institute of Technology (2020,2022)
- Honorable Mention, Interdisciplinary Contest in Modeling (2019)
- First Prize of China Undergraduate Mathematical Contest in Modeling, Beijing (2018)
- Scholarship for Outstanding Students (2017,2018)