| 2025 | AISTATS | Computing high-dimensional optimal transport by flow neural networks. | Chen Xu, Xiuyuan Cheng, Yao Xie |
| 2025 | CVPR | Consistency Posterior Sampling for Diverse Image Synthesis. | Vishal Purohit, Matthew Repasky, Jianfeng Lu, Qiang Qiu, Yao Xie, Xiuyuan Cheng |
| 2024 | ICASSP | Stage-Regularized Neural Stein Critics For Testing Goodness-Of-Fit Of Generative Models. | Matthew Repasky, Xiuyuan Cheng, Yao Xie |
| 2023 | ICASSP | Training Neural Networks for Sequential Change-Point Detection. | Junghwan Lee, Yao Xie, Xiuyuan Cheng |
| 2023 | ICLR | Spatio-temporal point processes with deep non-stationary kernels. | Zheng Dong, Xiuyuan Cheng, Yao Xie |
| 2022 | ICLR | Neural Spectral Marked Point Processes. | Shixiang Zhu, Haoyun Wang, Zheng Dong, Xiuyuan Cheng, Yao Xie |
| 2021 | AISTATS | Convergence of Gaussian-smoothed optimal transport distance with sub-gamma distributions and dependent samples. | Yixing Zhang, Xiuyuan Cheng, Galen Reeves |
| 2021 | ICLR | Graph Convolution with Low-rank Learnable Local Filters. | Xiuyuan Cheng, Zichen Miao, Qiang Qiu |
| 2020 | ECCV | Variational Diffusion Autoencoders with Random Walk Sampling. | Henry Li, Ofir Lindenbaum, Xiuyuan Cheng, Alexander Cloninger |
| 2020 | ICLR | Stochastic Conditional Generative Networks with Basis Decomposition. | Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu |
| 2019 | ICLR | RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks. | Xiuyuan Cheng, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro |
| 2018 | AISTATS | Provable Estimation of the Number of Blocks in Block Models. | Bowei Yan, Purnamrita Sarkar, Xiuyuan Cheng |
| 2018 | ICML | DCFNet: Deep Neural Network with Decomposed Convolutional Filters. | Qiang Qiu, Xiuyuan Cheng, A. Robert Calderbank, Guillermo Sapiro |
| 2016 | ICML | A Deep Learning Approach to Unsupervised Ensemble Learning. | Uri Shaham, Xiuyuan Cheng, Omer Dror, Ariel Jaffe, Boaz Nadler, Joseph T. Chang, Yuval Kluger |