← Authors

Xiuyuan Cheng

18 papers · 2014–2025 · 7 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (8) 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (25) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🧬 Topic Evolution πŸ’Ž Century Club (18) πŸ—ƒοΈ Keyword Collector (59) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (6)

Conferences

ICLR (5) NIPS (5) AISTATS (3) ICML (2) CVPR (1) ECCV (1) JMLR (1)

Top co-authors

Qiang Qiu (8) Yao Xie (6) Guillermo Sapiro (5) Ze Wang (3) Zheng Dong (2) Robert Calderbank (2) Chen Xu (2) Zichen Miao (2) Stephane Mallat (1) Yixing Zhang (1)

Keywords

filter decomposition (4) convolutional neural network (3) generative model (2) unsupervised learning (2) signal classification (1) neural tangent kernel (1) image classification (1) image restoration (1) representation learning (1) convex optimization (1) domain adaptation (1) graph clustering (1) graph classification (1) video understanding (1) posterior sampling (1) wavelet transform (1) community detection (1) deep learning (1) two-sample test (1) action recognition (1)

Papers

Consistency Posterior Sampling for Diverse Image Synthesis CVPR 2025
Computing high-dimensional optimal transport by flow neural networks AISTATS 2025
Normalizing flow neural networks by JKO scheme NIPS 2023
Spatio-temporal point processes with deep non-stationary kernels ICLR 2023
Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters JMLR 2022
Neural Spectral Marked Point Processes ICLR 2022
Convergence of Gaussian-smoothed optimal transport distance with sub-gamma distributions and dependent samples AISTATS 2021
Neural Tangent Kernel Maximum Mean Discrepancy NIPS 2021
Graph Convolution with Low-rank Learnable Local Filters ICLR 2021
Spatiotemporal Joint Filter Decomposition in 3D Convolutional Neural Networks NIPS 2021
Variational Diffusion Autoencoders with Random Walk Sampling ECCV 2020
A Dictionary Approach to Domain-Invariant Learning in Deep Networks NIPS 2020
Stochastic Conditional Generative Networks with Basis Decomposition ICLR 2020
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks ICLR 2019
DCFNet: Deep Neural Network with Decomposed Convolutional Filters ICML 2018
Provable Estimation of the Number of Blocks in Block Models AISTATS 2018
A Deep Learning Approach to Unsupervised Ensemble Learning ICML 2016
Unsupervised Deep Haar Scattering on Graphs NIPS 2014