Cheng, Xiuyuan

25 publications

AISTATS 2025 Computing High-Dimensional Optimal Transport by Flow Neural Networks Chen Xu, Xiuyuan Cheng, Yao Xie

CVPR 2025 Consistency Posterior Sampling for Diverse Image Synthesis Vishal Purohit, Matthew Repasky, Jianfeng Lu, Qiang Qiu, Yao Xie, Xiuyuan Cheng

NeurIPSW 2023 An Alternative Approach to Train Neural Networks Using Monotone Variational Inequality Chen Xu, Xiuyuan Cheng, Yao Xie

NeurIPSW 2023 Computing High-Dimensional Optimal Transport by Flow Neural Networks Chen Xu, Xiuyuan Cheng, Yao Xie

NeurIPSW 2023 Deep Graph Kernel Point Processes Zheng Dong, Matthew Repasky, Xiuyuan Cheng, Yao Xie

NeurIPSW 2023 Flow-Based Distributionally Robust Optimization Chen Xu, Jonghyeok Lee, Xiuyuan Cheng, Yao Xie

NeurIPSW 2023 Neural Differential Recurrent Neural Network with Adaptive Time Steps Yixuan Tan, Liyan Xie, Xiuyuan Cheng

NeurIPS 2023 Normalizing Flow Neural Networks by JKO Scheme Chen Xu, Xiuyuan Cheng, Yao Xie

NeurIPSW 2023 Normalizing Flow Neural Networks by JKO Scheme Chen Xu, Xiuyuan Cheng, Yao Xie

ICLR 2023 Spatio-Temporal Point Processes with Deep Non-Stationary Kernels Zheng Dong, Xiuyuan Cheng, Yao Xie

NeurIPSW 2022 Invertible Neural Networks for Graph Prediction Chen Xu, Xiuyuan Cheng, Yao Xie

ICLR 2022 Neural Spectral Marked Point Processes Shixiang Zhu, Haoyun Wang, Zheng Dong, Xiuyuan Cheng, Yao Xie

JMLR 2022 Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters Wei Zhu, Qiang Qiu, Robert Calderbank, Guillermo Sapiro, Xiuyuan Cheng

AISTATS 2021 Convergence of Gaussian-Smoothed Optimal Transport Distance with Sub-Gamma Distributions and Dependent Samples Yixing Zhang, Xiuyuan Cheng, Galen Reeves

ICLR 2021 Graph Convolution with Low-Rank Learnable Local Filters Xiuyuan Cheng, Zichen Miao, Qiang Qiu

NeurIPS 2021 Neural Tangent Kernel Maximum Mean Discrepancy Xiuyuan Cheng, Yao Xie

NeurIPS 2021 Spatiotemporal Joint Filter Decomposition in 3D Convolutional Neural Networks Zichen Miao, Ze Wang, Xiuyuan Cheng, Qiang Qiu

NeurIPS 2020 A Dictionary Approach to Domain-Invariant Learning in Deep Networks Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu

ICLR 2020 Stochastic Conditional Generative Networks with Basis Decomposition Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu

ECCV 2020 Variational Diffusion Autoencoders with Random Walk Sampling Henry Li, Ofir Lindenbaum, Xiuyuan Cheng, Alexander Cloninger

ICLR 2019 RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks Xiuyuan Cheng, Qiang Qiu, Robert Calderbank, Guillermo Sapiro

ICML 2018 DCFNet: Deep Neural Network with Decomposed Convolutional Filters Qiang Qiu, Xiuyuan Cheng, Calderbank, Guillermo Sapiro

AISTATS 2018 Provable Estimation of the Number of Blocks in Block Models Bowei Yan, Purnamrita Sarkar, Xiuyuan Cheng

ICML 2016 A Deep Learning Approach to Unsupervised Ensemble Learning Uri Shaham, Xiuyuan Cheng, Omer Dror, Ariel Jaffe, Boaz Nadler, Joseph Chang, Yuval Kluger

NeurIPS 2014 Unsupervised Deep Haar Scattering on Graphs Xu Chen, Xiuyuan Cheng, Stephane Mallat