Kaixuan Wei

CS PhD Student, KAUST Visual Computing Center

Degrees History:

• Ph.D., Computer Science, King Abdullah University of Science and Technology (2024.1 - now)
• M.Sc., Computer Science, Beijing Institute of Technology (2018.9 - 2021.6)
• B.Sc., Electronic Engineering, Beijing Institute of Technology (2014.9 - 2018.6)

Miscellaneous History:

• Visiting Student, University of Cambridge (2019.7 - 2019.9)
• Research Intern, Microsoft Research Asia (2018.4 - 2018.11)

Research Interests: Computational Photography/Imaging/Optics, Large-scale Optimization, Computer Vision

Additional details: Personal Homepage, Google Scholar

Selected Publications:

1. ∇-Prox: Differentiable Proximal Algorithm Modeling for Large-Scale Optimization
   Zeqiang Lai*, Kaixuan Wei*, Ying Fu, Philipp H¨artel, Felix Heide.
   ACM Transactions on Graphics (TOG), 2023


2. TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems
   Kaixuan Wei, Angelica Aviles-Rivero, Jingwei Liang, Ying Fu, Hua Huang, Carola-Bibiane Sch¨onlieb
   Journal of Machine Learning Research (JMLR), 2022


3. Physics-based Noise Modeling for Extreme Low-light Photography
   Kaixuan Wei, Ying Fu, Yinqiang Zheng, Jiaolong Yang
   IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022