Publication

* indicates students advised

Journal publications

• Holographic deep thermalization for secure and efficient quantum random state generation.
  Bingzhi Zhang, Peng Xu*, Xiaohui Chen, Quntao Zhuang.
  Nature Communications, 16(1):6341, 2025.
• Wasserstein proximal coordinate gradient algorithms.
  Rentian Yao*, Xiaohui Chen, Yun Yang.
  Journal Machine Learning Research, 25(269):1−66, 2024.
• Generative quantum machine learning via denoising diffusion probabilistic models.
  Bingzhi Zhang, Peng Xu*, Xiaohui Chen, Quntao Zhuang.
  Physical Review Letters, 2024, 132 (10), 100602.
• Central limit theorems for high dimensional dependent data.
  Jinyuan Chang, Xiaohui Chen, Mingcong Wu.
  Bernoulli, 2024, 30(1), 712-742.
• Stratified incomplete local simplex tests for curvature of nonparametric multiple regression.
  Yanglei Song*, Xiaohui Chen, Kengo Kato.
  Bernoulli, 2023, 29(1), 323-349.
• A robust bootstrap change point test for high-dimensional location parameter.
  Mengjia Yu*, Xiaohui Chen.
  Electronic Journal of Statistics, 2022, 16(1), 1096-1152.
• Maximum likelihood estimation of potential energy in interacting particle systems from single-trajectory data.
  Xiaohui Chen.
  Electronic Communications in Probability, 2021, Vol. 26, paper no. 45, 1-13.
• Robust inference for partially observed functional response data.
  Yeonjoo Park, Xiaohui Chen, Douglas G. Simpson.
  Statistica Sinica, 2022, 32, 2265-2293.
• Cutoff for exact recovery of Gaussian mixture models.
  Xiaohui Chen, Yun Yang.
  IEEE Transactions on Information Theory, 2021, 67(6), 4223-4238.
• Finite sample change point inference and identification for high-dimensional mean vectors.
  Mengjia Yu*, Xiaohui Chen.
  Journal of the Royal Statistical Society, Series B (Statistical Methodology), 2021, 83(2), 247-270.
• Hanson-Wright inequality in Hilbert spaces with application to K-means clustering for non-Euclidean data.
  Xiaohui Chen, Yun Yang.
  Bernoulli, 2021, 27(1), 586-614.
• Scenario analysis of non-pharmaceutical interventions on global COVID-19 transmissions.
  Xiaohui Chen, Ziyi Qiu.
  Covid Economics: Vetted and Real-Time Papers, Centre for Economic Policy Research (CEPR), 46-67, Issue 7, 20 April 2020.
• Diffusion K-means clustering on manifolds: provable exact recovery via semidefinite relaxations.
  Xiaohui Chen, Yun Yang.
  Applied and Computational Harmonic Analysis, 2021, Vol 52, 303-347.
• Estimation of dynamic networks for high-dimensional nonstationary time series.
  Mengyu Xu, Xiaohui Chen, Wei Biao Wu.
  Entropy, 2020, 22(1):55.
• Approximating high-dimensional infinite-order U-statistics: statistical and computational guarantees.
  Yanglei Song*, Xiaohui Chen, Kengo Kato.
  Electrical Journal of Statistics, 2019, 13(2), 4794-4848.
• Jackknife multiplier bootstrap: finite sample approximations to the U-process supremum with applications.
  Xiaohui Chen, Kengo Kato.
  Probability Theory and Related Fields, 2020, 176(3), 1097-1163.
• U-statistics.
  Xiaohui Chen.
  Wiley StatsRef: Statistics Reference Online, 2019.
• Randomized incomplete U-statistics in high dimensions.
  Xiaohui Chen, Kengo Kato.
  Annals of Statistics, 2019, 47(6), 3127-3156.
• Gaussian and bootstrap approximations for high-dimensional U-statistics and their applications.
  Xiaohui Chen.
  Annals of Statistics, 2018, 46(2), 642-678.
• Inference of high-dimensional linear model with time-varying coefficients.
  Xiaohui Chen, Yifeng He*.
  Statistica Sinica, 2018, 28(1), 255-276.
• Sparse transition matrix estimation for high-dimensional and locally stationary vector autoregressive models.
  Xin Ding*, Ziyi Qiu, Xiaohui Chen.
  Electrical Journal of Statistics, 2017, 11(2), 3871-3902.
• Regularized estimation of linear functionals of precision matrices for high-dimensional time series.
  Xiaohui Chen, Mengyu Xu, Wei Biao Wu.
  IEEE Transactions on Signal Processing, 2016, 64(24), 6459-6470.
• Discussion of “High-dimensional autocovariance matrices and optimal linear prediction.”
  Xiaohui Chen.
  Electronic Journal of Statistics, 2015, Vol. 9, 801-810.
• A note on moment inequality of quadratic forms.
  Xiaohui Chen.
  Statistics & Probability Letters, 2014, 92, 83-88.
• A genetically-informed, group fMRI connectivity modeling approach: application to Schizophrenia.
  Aiping Liu, Xiaohui Chen, Z. Jane Wang, Qi Xu, Silke Appel-Cresswell, Martin J. McKeown.
  IEEE Transactions on Biomedical Engineering, 2014, 61(3), 946-956.
• Covariance and precision matrix estimation for high-dimensional time series.
  Xiaohui Chen, Mengyu Xu and Wei Biao Wu.
  Annals of Statistics, 2013, 41(6), 2994-3021.
• Efficient minimax estimation of a class of high-dimensional sparse precision matrices.
  Xiaohui Chen, Young-Heon Kim, Z. Jane Wang.
  IEEE Transactions on Signal Processing, 2012, 60(6), 2899-2912.
• Shrinkage-to-tapering estimation of large covariance matrices.
  Xiaohui Chen, Z. Jane Wang, Martin J. McKeown.
  IEEE Transactions on Signal Processing, 2012, 60(11), 5640-5656.
• A Bayesian Lasso via reversible-jump MCMC.
  Xiaohui Chen, Z. Jane Wang, Martin J. McKeown.
  Signal Processing, 2011, 91(8), 1920-1932.
• Asymptotic analysis of robust LASSOs in the presence of noise with large variance.
  Xiaohui Chen, Z. Jane Wang, Martin J. McKeown.
  IEEE Transactions on Information Theory, 2010, 56(10), 5131-5149.
• BNArray: an R package for constructing gene regulatory networks from microarray data by using Bayesian network.
  Xiaohui Chen, Ming Chen, Kaida Ning.
  Bioinformatics, 2006, 22(23), 2952-2954.

Conference proceedings

• Optimal Transport Barycenter via Nonconvex Concave Minimax Optimization.
  Kaheon Kim, Rentian Yao*, Changbo Zhu, Xiaohui Chen.
  International Conference on Machine Learning (ICML), 2025.
• Embedding Empirical Distributions for Computing Optimal Transport Maps.
  Mingchen Jiang, Peng Xu*, Xichen Ye, Xiaohui Chen, Yun Yang, Yifan Chen.
  IEEE International Symposium on Information Theory (ISIT), 2025.
• GeONet: a neural operator for learning the Wasserstein geodesic.
  Andrew Gracyk*, Xiaohui Chen.
  Conference on Uncertainty in Artificial Intelligence (UAI), 2024.
• Statistically optimal K-means clustering via nonnegative low-rank semidefinite programming.
  Yubo Zhuang*, Xiaohui Chen, Yun Yang, Richard Y. Zhang.
  International Conference on Learning Representations (ICLR), (arXiv:2305.18436)
  Oral Presentation [One of 85/7262 submissions. Top 1.2%]
• Likelihood adjusted semidefinite programs for clustering heterogeneous data.
  Yubo Zhuang*, Xiaohui Chen, Yun Yang.
  International Conference on Machine Learning (ICML), 2023.
• Wasserstein K-means for clustering probability distributions.
  Yubo Zhuang*, Xiaohui Chen, Yun Yang.
  Conference on Neural Information Processing Systems (NeurIPS), 2022.
• Mean-field nonparametric estimation of interacting particle systems.
  Rentian Yao*, Xiaohui Chen, Yun Yang.
  Conference on Learning Theory (COLT), 2022.
• Sketch-and-lift: scalable subsampled semidefinite programs for K-means clustering.
  Yubo Zhuang*, Xiaohui Chen, Yun Yang.
  Artificial Intelligence and Statistics Conference (AISTATS),  2022.
• A two-graph guided multi-task Lasso approach for eQTL mapping.
  Xiaohui Chen, Xinghua Shi, Xing Xu, Zhiyong Wang, Ryan E. Mills, Charles Lee, Jinbo Xu.
  Artificial Intelligence and Statistics Conference (AISTATS), 2012, 22, 208-217.
• Large covariance matrices estimation: bridging shrinkage and tapering approaches.
  Xiaohui Chen, Z. Jane Wang, Martin J. McKeown.
  International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Kyoto, Japan, March 2012.
• fMRI group studies of brain connectivity via a group robust LASSO.
  Xiaohui Chen, Z. Jane Wang, Martin J. McKeown.
  International Conference on Image Processing (ICIP), Hongkong, September 2010.
• Asymptotic analysis of the Huberized LASSO estimator.
  Xiaohui Chen, Z. Jane Wang, Martin J. McKeown.
  International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Dallas, TX, USA, March 2010.
• An MM-based optimization algorithm for sparse linear modeling on microarray data analysis.
  Xiaohui Chen, Raphael Gottardo.
  International Conference on Bioinformatics and Biomedical Engineering (iCBBE), Beijing, China, June 2009.

Preprints

• Learning density evolution from snapshot data.
  Rentian Yao*, Atsushi Nitanda, Xiaohui Chen, Yun Yang.
• Multimarginal Schrödinger Barycenter.
  Pengtao Li*, Xiaohui Chen.
• Sobolev gradient ascent for optimal transport: barycenter optimization and convergence analysis.
  Kaheon Kim, Bohan Zhou, Changbo Zhu, Xiaohui Chen.
• Convergence Analysis of the Wasserstein Proximal Algorithm Beyond Convexity.
  Shuailong Zhu*, Xiaohui Chen.
• A note on Stein equation for weighted sums of independent chi-square distributions.
  Xiaohui Chen, Partha Dey.