{"id":233,"date":"2023-08-12T22:04:00","date_gmt":"2023-08-13T05:04:00","guid":{"rendered":"https:\/\/dornsife.usc.edu\/mirl\/?page_id=233"},"modified":"2025-07-10T09:05:08","modified_gmt":"2025-07-10T16:05:08","slug":"papers","status":"publish","type":"page","link":"https:\/\/dornsife.usc.edu\/mirl\/papers\/","title":{"rendered":"Publication"},"content":{"rendered":"\n\n  \n    \n\n\n\n\n\n\n<div\n  class=\"cc--component-container cc--rich-text \"\n\n  \n  \n  \n  \n  \n  \n  >\n  <div class=\"c--component c--rich-text\"\n    \n      >\n\n    \n      \n<div class=\"f--field f--wysiwyg\">\n\n    \n  <p>* indicates students advised<\/p>\n<h3><strong><u>Journal publications<\/u><\/strong><\/h3>\n<ul>\n<li><a href=\"https:\/\/www.nature.com\/articles\/s41467-025-61546-y\">Holographic deep thermalization for secure and efficient quantum random state generation.<\/a><br \/>\nBingzhi Zhang, Peng Xu*, <strong>Xiaohui Chen<\/strong>, Quntao Zhuang.<br \/>\n<em>Nature Communications<\/em>, 16(1):6341, 2025.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2405.04628\">Wasserstein proximal coordinate gradient algorithms.<\/a><br \/>\nRentian Yao*, <strong>Xiaohui Chen<\/strong>, Yun Yang.<br \/>\n<em>Journal Machine Learning Research<\/em>, 25(269):1\u221266, 2024.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2310.05866\">Generative quantum machine learning via denoising diffusion probabilistic models.<\/a><br \/>\nBingzhi Zhang, Peng Xu*, <strong>Xiaohui Chen<\/strong>, Quntao Zhuang.<br \/>\n<em>Physical Review Letters<\/em>, 2024, 132 (10), 100602.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2104.12929\">Central limit theorems for high dimensional dependent data.<\/a><br \/>\nJinyuan Chang, <strong>Xiaohui Chen<\/strong>, Mingcong Wu.<br \/>\n<em>Bernoulli<\/em>, 2024, 30(1), 712-742.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2003.09091\">Stratified incomplete local simplex tests for curvature of nonparametric multiple regression.<\/a><br \/>\nYanglei Song*, <strong>Xiaohui Chen<\/strong>, Kengo Kato.<br \/>\n<em>Bernoulli<\/em>, 2023, 29(1), 323-349.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/1904.03372\">A robust bootstrap change point test for high-dimensional location parameter.<\/a><br \/>\nMengjia Yu*, <strong>Xiaohui Chen<\/strong>.<br \/>\n<em>Electronic Journal of Statistics<\/em>, 2022, 16(1), 1096-1152.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2007.11048\">Maximum likelihood estimation of potential energy in interacting particle systems from single-trajectory data.<\/a><br \/>\n<strong>Xiaohui Chen<\/strong>.<br \/>\n<em>Electronic Communications in Probability, <\/em>2021, Vol. 26, paper no. 45, 1-13.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2002.08560\">Robust inference for partially observed functional response data.<\/a><br \/>\nYeonjoo Park, <strong>Xiaohui Chen<\/strong>, Douglas G. Simpson.<br \/>\n<em>Statistica Sinica<\/em>, 2022, 32, 2265-2293.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2001.01194\">Cutoff for exact recovery of Gaussian mixture models.<\/a><br \/>\n<strong>Xiaohui Chen<\/strong>, Yun Yang.<br \/>\n<em>IEEE Transactions on Information Theory<\/em>, 2021, 67(6), 4223-4238.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/1711.08747\">Finite sample change point inference and identification for high-dimensional mean vectors.<\/a><br \/>\nMengjia Yu*, <strong>Xiaohui Chen<\/strong>.<br \/>\n<em>Journal of the Royal Statistical Society, Series B (Statistical Methodology)<\/em>, 2021, 83(2), 247-270.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/1810.11180\">Hanson-Wright inequality in Hilbert spaces with application to <em>K<\/em>-means clustering for non-Euclidean data.<\/a><br \/>\n<strong>Xiaohui Chen<\/strong>, Yun Yang.<br \/>\n<em>Bernoulli<\/em>, 2021, 27(1), 586-614.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2004.04529\">Scenario analysis of non-pharmaceutical interventions on global COVID-19 transmissions.<\/a><br \/>\n<strong>Xiaohui Chen<\/strong>, Ziyi Qiu.<br \/>\n<em>Covid Economics: Vetted and Real-Time Papers, Centre for Economic Policy Research (CEPR)<\/em>, 46-67, Issue 7, 20 April 2020.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/1903.04416\">Diffusion <em>K<\/em>-means clustering on manifolds: provable exact recovery via semidefinite relaxations.<\/a><br \/>\n<strong>Xiaohui Chen<\/strong>, Yun Yang.<br \/>\n<em>Applied and Computational Harmonic Analysis<\/em>, 2021, Vol 52, 303-347.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/1911.06385\">Estimation of dynamic networks for high-dimensional nonstationary time series.<\/a><br \/>\nMengyu Xu, <strong>Xiaohui Chen<\/strong>, Wei Biao Wu.<br \/>\n<em>Entropy<\/em>, 2020, 22(1):55.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/1901.01163\">Approximating high-dimensional infinite-order <em>U<\/em>-statistics: statistical and computational guarantees.<\/a><br \/>\nYanglei Song*, <strong>Xiaohui Chen<\/strong>, Kengo Kato.<br \/>\n<em>Electrical Journal of Statistics<\/em>, 2019, 13(2), 4794-4848.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/1708.02705\">Jackknife multiplier bootstrap: finite sample approximations to the <em>U<\/em>-process supremum with applications.<\/a><br \/>\n<strong>Xiaohui Chen<\/strong>, Kengo Kato.<br \/>\n<em>Probability Theory and Related Fields<\/em>, 2020, 176(3), 1097-1163.<\/li>\n<li><em>U<\/em>-statistics.<br \/>\n<strong>Xiaohui Chen<\/strong>.<br \/>\n<em>Wiley StatsRef: Statistics Reference Online<\/em>, 2019.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/1712.00771\">Randomized incomplete <em>U<\/em>-statistics in high dimensions.<\/a><br \/>\n<strong>Xiaohui Chen<\/strong>, Kengo Kato.<br \/>\n<em>Annals of Statistics<\/em>, 2019, 47(6), 3127-3156.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/1610.00032\">Gaussian and bootstrap approximations for high-dimensional U-statistics and their applications.<\/a><strong><br \/>\nXiaohui Chen<\/strong>.<strong><br \/>\n<\/strong><em>Annals of Statistics, <\/em>2018, 46(2), 642-678.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/1506.03909\">Inference of high-dimensional linear model with time-varying coefficients.<\/a><strong><br \/>\nXiaohui Chen,<\/strong> Yifeng He*.<strong><br \/>\n<\/strong><em>Statistica Sinica, <\/em>2018, 28(1), 255-276.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/1604.04002\">Sparse transition matrix estimation for high-dimensional and locally stationary vector autoregressive models.<\/a><br \/>\nXin Ding*, Ziyi Qiu, <strong>Xiaohui Chen<\/strong>.<br \/>\n<em>Electrical Journal of Statistics<\/em>, 2017, 11(2), 3871-3902.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/1506.03832\">Regularized estimation of linear functionals of precision matrices for high-dimensional time series.<\/a><br \/>\n<strong>Xiaohui Chen<\/strong>, Mengyu Xu, Wei Biao Wu.<br \/>\n<em>IEEE Transactions on Signal Processing<\/em>, 2016, 64(24), 6459-6470.<\/li>\n<li>Discussion of \u201cHigh-dimensional autocovariance matrices and optimal linear prediction.\u201d<br \/>\n<strong>Xiaohui Chen.<\/strong><br \/>\n<em>Electronic Journal of Statistics<\/em>, 2015, Vol. 9, 801-810.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/1404.1406\">A note on moment inequality of quadratic forms.<\/a><strong><br \/>\nXiaohui Chen.<br \/>\n<\/strong><em>Statistics &amp; Probability Letters<\/em>, 2014, 92, 83-88.<\/li>\n<li>A genetically-informed, group fMRI connectivity modeling approach: application to Schizophrenia.<br \/>\nAiping Liu, <strong>Xiaohui Chen<\/strong>, Z. Jane Wang, Qi Xu, Silke Appel-Cresswell, Martin J. McKeown.<br \/>\n<em>IEEE Transactions on Biomedical Engineering<\/em>, 2014, 61(3), 946-956.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/1401.0993\">Covariance and precision matrix estimation for high-dimensional time series.<\/a><strong><br \/>\nXiaohui Chen<\/strong>, Mengyu Xu and Wei Biao Wu.<strong><br \/>\n<\/strong><em>Annals of Statistics<\/em>, 2013, 41(6), 2994-3021.<\/li>\n<li>Efficient minimax estimation of a class of high-dimensional sparse precision matrices.<strong><br \/>\nXiaohui Chen<\/strong>, Young-Heon Kim, Z. Jane Wang.<strong><br \/>\n<\/strong><em>IEEE Transactions on Signal Processing<\/em>, 2012, 60(6), 2899-2912.<\/li>\n<li>Shrinkage-to-tapering estimation of large covariance matrices.<strong><br \/>\nXiaohui Chen<\/strong>, Z. Jane Wang, Martin J. McKeown.<strong><br \/>\n<\/strong><em>IEEE Transactions on Signal Processing<\/em>, 2012, 60(11), 5640-5656.<\/li>\n<li>A Bayesian Lasso via reversible-jump MCMC.<strong><br \/>\nXiaohui Chen<\/strong>, Z. Jane Wang, Martin J. McKeown.<strong><br \/>\n<\/strong><em>Signal Processing,<\/em> 2011, 91(8), 1920-1932.<\/li>\n<li>Asymptotic analysis of robust LASSOs in the presence of noise with large variance.<strong><br \/>\nXiaohui Chen<\/strong>, Z. Jane Wang, Martin J. McKeown.<strong><br \/>\n<\/strong><em>IEEE Transactions on Information Theory<\/em>, 2010, 56(10), 5131-5149.<\/li>\n<li><em>BNArray<\/em>: an R package for constructing gene regulatory networks from microarray data by using Bayesian network.<strong><br \/>\nXiaohui Chen<\/strong>, Ming Chen, Kaida Ning.<strong><br \/>\n<\/strong><em>Bioinformatics<\/em>, 2006, 22(23), 2952-2954.<\/li>\n<\/ul>\n<h3>Conference proceedings<\/h3>\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2501.14635\">Optimal Transport Barycenter via Nonconvex Concave Minimax Optimization.<\/a><br \/>\nKaheon Kim, Rentian Yao*, Changbo Zhu, <strong>Xiaohui Chen<\/strong>.<br \/>\n<em>International Conference on Machine Learning (ICML), 2025.<\/em><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2504.17740\">Embedding Empirical Distributions for Computing Optimal Transport Maps.<\/a><br \/>\nMingchen Jiang, Peng Xu*, Xichen Ye, <strong>Xiaohui Chen<\/strong>, Yun Yang, Yifan Chen.<br \/>\n<em>IEEE International Symposium on Information Theory (ISIT), <\/em>2025.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2209.14440\">GeONet: a neural operator for learning the Wasserstein geodesic.<\/a><br \/>\nAndrew Gracyk*, <strong>Xiaohui Chen<\/strong>.<br \/>\n<em>Conference on <\/em><em>Uncertainty in Artificial Intelligence (UAI), <\/em>2024.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2305.18436\">Statistically optimal<em> K<\/em>-means clustering via nonnegative low-rank semidefinite programming.<\/a><br \/>\nYubo Zhuang*, <strong>Xiaohui Chen<\/strong>, Yun Yang, Richard Y. Zhang.<br \/>\n<em>International Conference on Learning Representations (ICLR), <\/em> (arXiv:2305.18436)<br \/>\n<em><strong>Oral Presentation [One of 85\/7262 submissions. Top 1.2%]<\/strong><\/em><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2209.15097\">Likelihood adjusted semidefinite programs for clustering heterogeneous data.<\/a><br \/>\nYubo Zhuang*, <strong>Xiaohui Chen<\/strong>, Yun Yang.<br \/>\n<em>International Conference on Machine Learning (ICML)<\/em>, 2023.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2209.06975\">Wasserstein <em>K<\/em>-means for clustering probability distributions.<\/a><br \/>\nYubo Zhuang*, <strong>Xiaohui Chen<\/strong>, Yun Yang.<br \/>\n<em>Conference on Neural Information Processing Systems (NeurIPS)<\/em>, 2022.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2205.07937\">Mean-field nonparametric estimation of interacting particle systems.<\/a><br \/>\nRentian Yao*, <strong>Xiaohui Chen<\/strong>, Yun Yang.<br \/>\n<em>Conference on Learning Theory (COLT)<\/em>, 2022.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2201.08226\">Sketch-and-lift: scalable subsampled semidefinite programs for <em>K<\/em>-means clustering.<\/a><br \/>\nYubo Zhuang*, <strong>Xiaohui Chen<\/strong>, Yun Yang.<br \/>\n<em>Artificial Intelligence and Statistics Conference (AISTATS)<\/em>,\u00a0 2022.<\/li>\n<li>A two-graph guided multi-task Lasso approach for eQTL mapping.<br \/>\n<strong>Xiaohui Chen<\/strong>, Xinghua Shi, Xing Xu, Zhiyong Wang, Ryan E. Mills, Charles Lee, Jinbo Xu.<br \/>\n<em>Artificial Intelligence and Statistics Conference<\/em><em> (AISTATS)<\/em>, 2012, 22, 208-217.<\/li>\n<li>Large covariance matrices estimation: bridging shrinkage and tapering approaches.<br \/>\n<strong>Xiaohui Chen<\/strong>, Z. Jane Wang, Martin J. McKeown.<br \/>\n<em>International Conference on Acoustics, Speech, and Signal Processing (ICASSP)<\/em>, Kyoto, Japan, March 2012.<\/li>\n<li>fMRI group studies of brain connectivity via a group robust LASSO.<br \/>\n<strong>Xiaohui Chen<\/strong>, Z. Jane Wang, Martin J. McKeown.<br \/>\n<em>International Conference on Image Processing (ICIP)<\/em>, Hongkong, September 2010.<\/li>\n<li>Asymptotic analysis of the Huberized LASSO estimator.<br \/>\n<strong>Xiaohui Chen<\/strong>, Z. Jane Wang, Martin J. McKeown.<br \/>\n<em>International Conference on Acoustics, Speech, and Signal Processing (ICASSP)<\/em>, Dallas, TX, USA, March 2010.<\/li>\n<li>An MM-based optimization algorithm for sparse linear modeling on microarray data analysis.<br \/>\n<strong>Xiaohui Chen, <\/strong>Raphael Gottardo.<br \/>\n<em>International Conference on Bioinformatics and Biomedical Engineering (iCBBE)<\/em>, Beijing, China, June 2009.<\/li>\n<\/ul>\n<h3>Preprints<\/h3>\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2502.17738\">Learning density evolution from snapshot data.<\/a><br \/>\nRentian Yao*, Atsushi Nitanda, <strong>Xiaohui Chen<\/strong>, Yun Yang.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2502.02726\">Multimarginal Schr\u00f6dinger Barycenter.<\/a><br \/>\nPengtao Li*, <strong>Xiaohui Chen<\/strong>.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2505.13660\">Sobolev gradient ascent for optimal transport: barycenter optimization and convergence analysis.<\/a><br \/>\nKaheon Kim, Bohan Zhou, Changbo Zhu, <strong>Xiaohui Chen<\/strong>.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2501.14993\">Convergence Analysis of the Wasserstein Proximal Algorithm Beyond Convexity.<\/a><br \/>\nShuailong Zhu*, <strong>Xiaohui Chen<\/strong>.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2002.09484\">A note on Stein equation for weighted sums of independent chi-square distributions.<\/a><br \/>\n<strong>Xiaohui Chen<\/strong>, Partha Dey.<\/li>\n<\/ul>\n\n\n\n<\/div>\n\n\n  <\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":466,"featured_media":249,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-233","page","type-page","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - 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