A General Computational Framework to Measure the Expressiveness of Complex Networks Using a Tighter Upper Bound of Linear Regions. - Yutong Xie 004; Gaoxiang Chen; Quanzheng Li (CoRR, 2020)

Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation. - Hexin Dong; Zifan Chen; Mingze Yuan; Yutong Xie 004; Jie Zhao 009; Fei Yu; Bin Dong 001; Li Zhang 047 (IJCAI, 2022)

PET Denoising and Uncertainty Estimation Based on NVAE Model Using Quantile Regression Loss. - Jianan Cui; Yutong Xie 004; Anand A. Joshi; Kuang Gong; Kyung Sang Kim; Young-Don Son; Jong Hoon Kim; Richard M. Leahy; Huafeng Liu 003; Quanzheng Li (MICCAI (4), 2022)

Measurement-Conditioned Denoising Diffusion Probabilistic Model for Under-Sampled Medical Image Reconstruction. - Yutong Xie 004; Quanzheng Li (MICCAI (6), 2022)

Trained Model in Supervised Deep Learning is a Conditional Risk Minimizer. - Yutong Xie 004; Dufan Wu; Bin Dong 001; Quanzheng Li (CoRR, 2022)

Unsupervised Image Denoising with Score Function. - Yutong Xie 004; Mingze Yuan; Bin Dong 001; Quanzheng Li (NeurIPS, 2023)

Diffusion Model for Generative Image Denoising. - Yutong Xie 004; Minne Yuan; Bin Dong 001; Quanzheng Li (CoRR, 2023)