publications

2023

  1. Stratified incomplete local simplex tests for curvature of nonparametric multiple regression
    Yanglei SongXiaohui Chen, and Kengo Kato
    Bernoulli 2023

2022

  1. Likelihood adjusted semidefinite programs for clustering heterogeneous data
    Yubo ZhuangXiaohui Chen, and Yun Yang
    Sep 2022
  2. GeONet: a neural operator for learning the Wasserstein geodesic
    Andrew Gracyk, and Xiaohui Chen
    Sep 2022
  3. Wasserstein K-means for clustering probability distributions
    Yubo ZhuangXiaohui Chen, and Yun Yang
    In Proceedings of Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) Sep 2022
  4. Mean-field nonparametric estimation of interacting particle systems
    Rentian YaoXiaohui Chen, and Yun Yang
    In Proceedings of Thirty Fifth Conference on Learning Theory (COLT) 02–05 jul 2022
  5. Sketch-and-lift: scalable subsampled semidefinite program for K-means clustering
    Yubo ZhuangXiaohui Chen, and Yun Yang
    In Proceedings of The 25th International Conference on Artificial Intelligence and Statistics (AISTATS) 28–30 mar 2022
  6. Robust Inference for Partially Observed Functional Response Data
    Yeonjoo ParkXiaohui Chen, and Douglas Simpson
    Statistica Sinica 28–30 mar 2022
  7. A robust bootstrap change point test for high-dimensional location parameter
    Mengjia Yu, and Xiaohui Chen
    Electronic Journal of Statistics 28–30 mar 2022

2021

  1. Cutoff for Exact Recovery of Gaussian Mixture Models
    Xiaohui Chen, and Yun Yang
    IEEE Transactions on Information Theory Jun 2021
  2. Diffusion K-means clustering on manifolds: Provable exact recovery via semidefinite relaxations
    Xiaohui Chen, and Yun Yang
    Applied and Computational Harmonic Analysis May 2021
  3. Finite sample change point inference and identification for high-dimensional mean vectors
    Mengjia Yu, and Xiaohui Chen
    Journal of the Royal Statistical Society: Series B (Statistical Methodology) Apr 2021
  4. Hanson–Wright inequality in Hilbert spaces with application to K-means clustering for non-Euclidean data
    Xiaohui Chen, and Yun Yang
    Bernoulli Apr 2021
  5. Central limit theorems for high dimensional dependent data
    Jinyuan ChangXiaohui Chen, and Mingcong Wu
    Apr 2021
  6. Maximum likelihood estimation of potential energy in interacting particle systems from single-trajectory data
    Xiaohui Chen
    Electronic Communications in Probability Jul 2021

2020

  1. Jackknife multiplier bootstrap: finite sample approximations to the U-process supremum with applications
    Xiaohui Chen, and Kengo Kato
    Probability Theory and Related Fields Jul 2020
  2. A note on Stein equation for weighted sums of independent χ^2 distributions
    Xiaohui Chen, and Partha Dey
    Jul 2020
  3. Geometric Flows for Applied Mathematician.
    Xiaohui Chen
    Jul 2020
  4. Scenario analysis of non-pharmaceutical interventions on global COVID-19 transmissions.
    Xiaohui Chen, and Ziyi Qiu
    Covid Economics: Vetted and Real-Time Papers, Centre for Economic Policy Research (CEPR) Jul 2020
  5. Estimation of Dynamic Networks for High-Dimensional Nonstationary Time Series
    Mengyu XuXiaohui Chen, and Wei Biao Wu
    Entropy Jul 2020

2019

  1. U-Statistics
    Xiaohui Chen
    Jul 2019
  2. Approximating high-dimensional infinite-order U-statistics: Statistical and computational guarantees
    Yanglei SongXiaohui Chen, and Kengo Kato
    Electronic Journal of Statistics Jul 2019
  3. Randomized incomplete U-statistics in high dimensions
    Xiaohui Chen, and Kengo Kato
    The Annals of Statistics Jul 2019

2018

  1. Inference of high-dimensional linear models with time-varying coefficients
    Xiaohui Chen, and Yifeng He
    Statistica Sinica Jul 2018
  2. Gaussian and bootstrap approximations for high-dimensional U-statistics and their applications
    Xiaohui Chen
    The Annals of Statistics Jul 2018

2017

  1. Sparse transition matrix estimation for high-dimensional and locally stationary vector autoregressive models
    Xin Ding, Ziyi Qiu, and Xiaohui Chen
    Electronic Journal of Statistics Jul 2017

2016

  1. Regularized Estimation of Linear Functionals of Precision Matrices for High-Dimensional Time Series
    Xiaohui ChenMengyu Xu, and Wei Biao Wu
    IEEE Transactions on Signal Processing Dec 2016

2015

  1. Discussion of “High-dimensional autocovariance matrices and optimal linear prediction”
    Xiaohui Chen
    Electronic Journal of Statistics Dec 2015

2014

  1. A Genetically Informed, Group fMRI Connectivity Modeling Approach: Application to Schizophrenia
    Aiping Liu, Xiaohui ChenZ. Jane Wang, Qi Xu, Silke Appel-Cresswell, and Martin J. McKeown
    IEEE Transactions on Biomedical Engineering Mar 2014
  2. A note on moment inequality for quadratic forms
    Xiaohui Chen
    Statistics & Probability Letters Mar 2014

2013

  1. Covariance and precision matrix estimation for high-dimensional time series
    Xiaohui ChenMengyu Xu, and Wei Biao Wu
    The Annals of Statistics Mar 2013

2012

  1. Large covariance matrix estimation: Bridging shrinkage and tapering approaches
    Xiaohui ChenZ. Jane Wang, and Martin J. McKeown
    In 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Mar 2012
  2. Shrinkage-to-Tapering Estimation of Large Covariance Matrices
    Xiaohui ChenZ. Jane Wang, and Martin J. McKeown
    IEEE Transactions on Signal Processing Nov 2012
  3. Efficient Minimax Estimation of a Class of High-Dimensional Sparse Precision Matrices
    Xiaohui ChenYoung-Heon Kim, and Z. Jane Wang
    IEEE Transactions on Signal Processing Jun 2012
  4. A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping
    Xiaohui Chen, Xinghua Shi, Xing Xu, Zhiyong Wang, Ryan Mills, Charles Lee, and Jinbo Xu
    In Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS) 21–23 apr 2012

2011

  1. A Bayesian Lasso via reversible-jump MCMC
    Xiaohui ChenZ. Jane Wang, and Martin J. McKeown
    Signal Processing 21–23 apr 2011

2010

  1. Asymptotic analysis of the Huberized LASSO estimator
    Xiaohui ChenZ. Jane Wang, and Martin J. McKeown
    In 2010 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Mar 2010
  2. FMRI group studies of brain connectivity via a group robust Lasso
    Xiaohui ChenZ. Jane Wang, and Martin J. McKeown
    In 2010 IEEE International Conference on Image Processing (ICIP) Sep 2010
  3. Asymptotic Analysis of Robust LASSOs in the Presence of Noise With Large Variance
    Xiaohui ChenZ. Jane Wang, and Martin J. McKeown
    IEEE Transactions on Information Theory Oct 2010

2009

  1. An MM-Based Optimization Algorithm for Sparse Linear Modeling on Microarray Data Analysis
    Xiaohui Chen, and Raphael Gottardo
    In 2009 3rd International Conference on Bioinformatics and Biomedical Engineering (ICBBE) Jun 2009

2006

  1. BNArray: an R package for constructing gene regulatory networks from microarray data by using Bayesian network
    Xiaohui Chen, Ming Chen, and Kaida Ning
    Bioinformatics Sep 2006