Xiuyuan Cheng

发表

THE SPECTRUM OF RANDOM INNER-PRODUCT KERNEL MATRICES

Xiuyuan Cheng, A. Singer, 2012, 1202.3155.

Marchenko-Pastur Law for Tyler's and Maronna's M-estimators

Xiuyuan Cheng, A. Singer, Tengzhou Zhang, 2014 .

Variational Random Walk Autoencoders

Xiuyuan Cheng, Henry Li, O. Lindenbaum, 2019, 1905.12724.

Detection of differentially abundant cell subpopulations discriminates biological states in scRNA-seq data

Xiuyuan Cheng, Y. Kluger, Ariel Jaffe, 2019, bioRxiv.

Detection of differentially abundant cell subpopulations discriminates biological states in scRNA-seq data

Xiuyuan Cheng, Y. Kluger, Ariel Jaffe, 2019, bioRxiv.

Spatiotemporal Joint Filter Decomposition in 3D Convolutional Neural Networks

Xiuyuan Cheng, Qiang Qiu, Zichen Miao, 2021, NeurIPS.

Invertible Neural Networks for Graph Prediction

Xiuyuan Cheng, Yao Xie, Chen Xu, 2022, ArXiv.

SpecNet2: Orthogonalization-free spectral embedding by neural networks

Xiuyuan Cheng, Yingzhou Li, Ziyu Chen, 2022, MSML.

An alternative approach to train neural networks using monotone variational inequality

Xiuyuan Cheng, Yao Xie, Chen Xu, 2022, 2202.08876.

Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise

Xiuyuan Cheng, Boris Landa, 2022, ArXiv.

Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation

Xiuyuan Cheng, Nan Wu, 2021, Applied and Computational Harmonic Analysis.

Gene Trajectory Inference for Single-cell Data by Optimal Transport Metrics

Xiuyuan Cheng, Y. Kluger, R. Flavell, 2024, bioRxiv.

Robust Inference of Manifold Density and Geometry by Doubly Stochastic Scaling

Xiuyuan Cheng, Boris Landa, 2022, ArXiv.

Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise

Xiuyuan Cheng, Boris Landa, 2022, ArXiv.

Invertible Neural Networks for Graph Prediction

Xiuyuan Cheng, Yao Xie, Chen Xu, 2022, ArXiv.

Gene Trajectory Inference for Single-cell Data by Optimal Transport Metrics

Xiuyuan Cheng, Y. Kluger, R. Flavell, 2022, bioRxiv.

Invertible Neural Networks for Graph Prediction

Xiuyuan Cheng, Yao Xie, Chen Xu, 2022, IEEE Journal on Selected Areas in Information Theory.

Training Neural Networks for Sequential Change-point Detection

Xiuyuan Cheng, Junghwan Lee, Yao Xie, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Butterfly-Net: Optimal Function Representation Based on Convolutional Neural Networks pdf

Yingzhou Li, Jianfeng Lu, Xiuyuan Cheng, 2018, Communications in Computational Physics.

Edge states in the climate system : exploring global instabilities and critical transitions

Xiuyuan Cheng, F. Bouchet, 2018 .

A Graph Partitioning Approach to Simultaneous Angular Reconstitution

Yoel Shkolnisky, Ido Greenberg, Xiuyuan Cheng, 2016, IEEE Transactions on Computational Imaging.

Detection of differentially abundant cell subpopulations in scRNA-seq data

Xiuyuan Cheng, Y. Kluger, Ariel Jaffe, 2021, Proceedings of the National Academy of Sciences.

Gene Trajectory Inference for Single-cell Data by Optimal Transport Metrics

Xiuyuan Cheng, Y. Kluger, R. Flavell, 2023, bioRxiv.

Kernel MMD Two-Sample Tests for Manifold Data pdf

Yao Xie, Xiuyuan Cheng, Xiuyuan Cheng, 2021, ArXiv.

Kernel Two-Sample Tests for Manifold Data

Xiuyuan Cheng, Yao Xie, Xiuyuan Cheng, 2021, 2105.03425.

Convergence of Graph Laplacian with kNN Self-tuned Kernels pdf

Hau-Tieng Wu, Xiuyuan Cheng, Xiuyuan Cheng, 2020, Information and Inference: A Journal of the IMA.

Variational Diffusion Autoencoders with Random Walk Sampling

Alexander Cloninger, Ofir Lindenbaum, Xiuyuan Cheng, 2019, ECCV.

Spectral Embedding Norm: Looking Deep into the Spectrum of the Graph Laplacian pdf

Xiuyuan Cheng, Gal Mishne, Xiuyuan Cheng, 2018, SIAM J. Imaging Sci..

Random Matrices in High-dimensional Data Analysis

Xiuyuan Cheng, Xiuyuan Cheng, 2013 .

A numerical method for the study of nucleation of ordered phases

E Weinan, Ling Lin, Pingwen Zhang, 2010, J. Comput. Phys..

Statistical inference using GLEaM model with spatial heterogeneity and correlation between regions

Xiuyuan Cheng, Yehui Zhang, Yixuan Tan, 2022, Scientific Reports.

Subcritical bifurcation in spatially extended systems

E Weinan, Xiuyuan Cheng, W. E, 2012 .

Two-sample Statistics Based on Anisotropic Kernels

Alexander Cloninger, Ronald R. Coifman, Xiuyuan Cheng, 2017, Information and inference : a journal of the IMA.

A Witness Function Based Construction of Discriminative Models Using Hermite Polynomials

Alexander Cloninger, Hrushikesh N. Mhaskar, Xiuyuan Cheng, 2019, Frontiers in Applied Mathematics and Statistics.

A Deep Learning Approach to Unsupervised Ensemble Learning pdf

Uri Shaham, Yuval Kluger, Boaz Nadler, 2016, ICML.

Scale-Equivariant Neural Networks with Decomposed Convolutional Filters

A. Calderbank, G. Sapiro, Xiuyuan Cheng, 2019, ArXiv.

Neural Tangent Kernel Maximum Mean Discrepancy pdf

Yao Xie, Xiuyuan Cheng, Xiuyuan Cheng, 2021, NeurIPS.

Graph Convolution with Low-rank Learnable Local Filters

Qiang Qiu, Zichen Miao, Xiuyuan Cheng, 2020, ICLR.

Police Text Analysis: Topic Modeling and Spatial Relative Density Estimation

Xiuyuan Cheng, Yao Xie, Sarah Huestis-Mitchell, 2022, ArXiv.

Marčenko-Pastur law for Tyler's M-estimator

Amit Singer, Teng Zhang, Xiuyuan Cheng, 2014, J. Multivar. Anal..

Nucleation of ordered phases in block copolymers.

W. E, Xiuyuan Cheng, Pingwen Zhang, 2010, Physical review letters.

Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters

A. Calderbank, G. Sapiro, Xiuyuan Cheng, 2019, J. Mach. Learn. Res..

Unsupervised Deep Haar Scattering on Graphs

Xu Chen, Stéphane Mallat, Xiuyuan Cheng, 2014, NIPS.

On matrix rearrangement inequalities

Xiuyuan Cheng, Rima Alaifari, S. Steinerberger, 2019, Proceedings of the American Mathematical Society.

G-invariant diffusion maps

Xiuyuan Cheng, Y. Shkolnisky, E. Rosen, 2023, 2306.07350.

The G-invariant graph Laplacian

Xiuyuan Cheng, Y. Shkolnisky, E. Rosen, 2023, ArXiv.

Robust Inference of Manifold Density and Geometry by Doubly Stochastic Scaling

Xiuyuan Cheng, Boris Landa, 2022, SIAM J. Math. Data Sci..

Kernel Two-Sample Tests for Manifold Data

Xiuyuan Cheng, Yao Xie, 2021, 2105.03425.

Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise

Xiuyuan Cheng, Boris Landa, 2022, ArXiv.

The Geometry of Nodal Sets and Outlier Detection

Stefan Steinerberger, Xiuyuan Cheng, Gal Mishne, 2017, 1706.01362.

On the diffusion geometry of graph Laplacians and applications

Stefan Steinerberger, Xiuyuan Cheng, Manas Rachh, 2016, Applied and Computational Harmonic Analysis.

Deep Haar Scattering Networks pdf

Xu Chen, Stéphane Mallat, Xiuyuan Cheng, 2015, ArXiv.

Neural Differential Recurrent Neural Network with Adaptive Time Steps

Xiuyuan Cheng, Liyan Xie, Yixuan Tan, 2023, arXiv.org.

Neural Spectral Marked Point Processes

Xiuyuan Cheng, Yao Xie, Shixiang Zhu, 2021, ICLR.

Spatio-temporal point processes with deep non-stationary kernels

Xiuyuan Cheng, Yao Xie, Zheng Dong, 2022, ICLR.

Deep graph kernel point processes

Matthew P. Repasky, Xiuyuan Cheng, Yao Xie, 2023, arXiv.org.

Classification Logit Two-Sample Testing by Neural Networks for Differentiating Near Manifold Densities pdf

Alexander Cloninger, Xiuyuan Cheng, Xiuyuan Cheng, 2019, IEEE Transactions on Information Theory.

DCFNet: Deep Neural Network with Decomposed Convolutional Filters

A. Robert Calderbank, Guillermo Sapiro, Qiang Qiu, 2018, ICML.

Invertible normalizing flow neural networks by JKO scheme

Xiuyuan Cheng, Yao Xie, Chen Xu, 2022, ArXiv.

Optimal transport flow and infinitesimal density ratio estimation

Xiuyuan Cheng, Chen Xu, Yao Xie, 2023, ArXiv.

Butterfly-Net2: Simplified Butterfly-Net and Fourier Transform Initialization

Yingzhou Li, Xiuyuan Cheng, Zhongshu Xu, 2019, MSML.

Neural Stein critics with staged L2-regularization

Matthew P. Repasky, Xiuyuan Cheng, Yao Xie, 2022, IEEE Transactions on Information Theory.

Expected performance bounds for estimation on graphs from random relative measurements pdf

Nicolas Boumal, Xiuyuan Cheng, Xiuyuan Cheng, 2013, arXiv.org.

G-invariant diffusion maps

Xiuyuan Cheng, Y. Shkolnisky, E. Rosen, 2023, ArXiv.

Convergence of Gaussian-smoothed optimal transport distance with sub-gamma distributions and dependent samples pdf

Galen Reeves, Xiuyuan Cheng, Yixing Zhang, 2021, AISTATS.

Deep graph kernel point processes

Matthew P. Repasky, Xiuyuan Cheng, Yao Xie, 2023, ArXiv.

Provable Estimation of the Number of Blocks in Block Models

Purnamrita Sarkar, Xiuyuan Cheng, Bowei Yan, 2017, AISTATS.

RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks pdf

A. Robert Calderbank, Guillermo Sapiro, Qiang Qiu, 2018, ICLR.

Detecting regions of differential abundance between scRNA-seq datasets

Xiuyuan Cheng, Y. Kluger, Ariel Jaffe, 2020 .

Neural network-based CUSUM for online change-point detection

Xiuyuan Cheng, Junghwan Lee, Yao Xie, 2022, 2210.17312.

Classification Logit Two-Sample Testing by Neural Networks for Differentiating Near Manifold Densities

Xiuyuan Cheng, A. Cloninger, 2019, IEEE Transactions on Information Theory.