Deep Learning for Handling Kernel/model Uncertainty in Image Deconvolution. - Yuesong Nan; Hui Ji (CVPR, 2020)

Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring. - Yuesong Nan; Yuhui Quan; Hui Ji (CVPR, 2020)

AHP-Net: adaptive-hyper-parameter deep learning based image reconstruction method for multilevel low-dose CT. - Qiaoqiao Ding; Yuesong Nan; Hao Gao 003; Hui Ji (CoRR, 2020)

Deep Learning With Adaptive Hyper-Parameters for Low-Dose CT Image Reconstruction. - Qiaoqiao Ding; Yuesong Nan; Hao Gao 003; Hui Ji (IEEE Trans. Computational Imaging, 2021)

Nonblind Image Deblurring via Deep Learning in Complex Field. - Yuhui Quan; Peikang Lin; Yong Xu 007; Yuesong Nan; Hui Ji (IEEE Trans. Neural Networks Learn. Syst., 2022)

Self-Supervised Blind Motion Deblurring with Deep Expectation Maximization. - Ji Li; Weixi Wang; Yuesong Nan; Hui Ji (CVPR, 2023)

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward. - Zhiwei Jia; Yuesong Nan; Huixi Zhao; Gengdai Liu (CVPR, 2025)