PIRM2018 Challenge on Spectral Image Super-Resolution: Methods and Results. - Mehrdad Shoeiby; Antonio Robles-Kelly; Radu Timofte; Ruofan Zhou; Fayez Lahoud; Sabine Süsstrunk; Zhiwei Xiong; Zhan Shi; Chang Chen; Dong Liu 002; Zheng-Jun Zha; Feng Wu 001; et al. (ECCV Workshops (5), 2018)

Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements. - Kaixuan Wei; Jiaolong Yang; Ying Fu 001; David P. Wipf; Hua Huang 001 (CVPR, 2019)

Low-rank Bayesian tensor factorization for hyperspectral image denoising. - Kaixuan Wei; Ying Fu 001 (Neurocomputing, 2019)

A Physics-Based Noise Formation Model for Extreme Low-Light Raw Denoising. - Kaixuan Wei; Ying Fu 001; Jiaolong Yang; Hua Huang 001 (CVPR, 2020)

Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems. - Kaixuan Wei; Angelica I. Avilés-Rivero; Jingwei Liang; Ying Fu 001; Carola-Bibiane Schönlieb; Hua Huang 001 (ICML, 2020)

3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising. - Kaixuan Wei; Ying Fu 001; Hua Huang 001 (CoRR, 2020)

TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems. - Kaixuan Wei; Angelica I. Avilés-Rivero; Jingwei Liang; Ying Fu 001; Hua Huang 001; Carola-Bibiane Schönlieb (CoRR, 2020)

Crafting Object Detection in Very Low Light. - Yang Hong; Kaixuan Wei; Linwei Chen; Ying Fu 001 (BMVC, 2021)

Dynamic Proximal Unrolling Network for Compressive Sensing Imaging. - Yixiao Yang; Ran Tao 003; Kaixuan Wei; Ying Fu 001 (CoRR, 2021)

3-D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising. - Kaixuan Wei; Ying Fu 001; Hua Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Deep plug-and-play prior for hyperspectral image restoration. - Zeqiang Lai; Kaixuan Wei; Ying Fu 001 (Neurocomputing, 2022)

Dynamic proximal unrolling network for compressive imaging. - Yixiao Yang; Ran Tao 003; Kaixuan Wei; Ying Fu 001 (Neurocomputing, 2022)

TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems. - Kaixuan Wei; Angelica I. Avilés-Rivero; Jingwei Liang; Ying Fu 001; Hua Huang 001; Carola-Bibiane Schönlieb (J. Mach. Learn. Res., 2022)

Physics-Based Noise Modeling for Extreme Low-Light Photography. - Kaixuan Wei; Ying Fu 001; Yinqiang Zheng; Jiaolong Yang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Spatially Varying Nanophotonic Neural Networks. - Kaixuan Wei; Xiao Li; Johannes E. Fröch; Praneeth Chakravarthula; James Whitehead; Ethan Tseng; Arka Majumdar; Felix Heide (CoRR, 2023)

Instance Segmentation in the Dark. - Linwei Chen; Ying Fu 001; Kaixuan Wei; Dezhi Zheng; Felix Heide (Int. J. Comput. Vis., 2023)

∇-Prox: Differentiable Proximal Algorithm Modeling for Large-Scale Optimization. - Zeqiang Lai; Kaixuan Wei; Ying Fu 001; Philipp Härtel; Felix Heide (ACM Trans. Graph., 2023)

Single-Shot Phase Retrieval From a Fractional Fourier Transform Perspective. - Yixiao Yang; Ran Tao 003; Kaixuan Wei; Jun Shi 003 (IEEE Trans. Signal Process., 2024)

Large-Area Fabrication-aware Computational Diffractive Optics. - Kaixuan Wei; Hector A. Jimenez Romero; Hadi Amata; Jipeng Sun; Qiang Fu 002; Felix Heide; Wolfgang Heidrich (CoRR, 2025)

Collaborative On-Sensor Array Cameras. - Jipeng Sun; Kaixuan Wei; Thomas Eboli; Congli Wang; Cheng Zheng 007; Zhihao Zhou; Arka Majumdar; Wolfgang Heidrich; Felix Heide (ACM Trans. Graph., 2025)