PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image Generation. - Wang, Ziyan; Wei, Sizhe; Huo, Xiaoming; Wang, Hao (CoRR, 2025)

Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning. - Xie, Yiling; Huo, Xiaoming (J. Mach. Learn. Res., 2024)

Classification of Data Generated by Gaussian Mixture Models Using Deep ReLU Networks. - Zhou, Tian-Yi; Huo, Xiaoming (J. Mach. Learn. Res., 2024)

Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classes. - Ko, Hyunouk; Huo, Xiaoming (2024)

High-dimensional (Group) Adversarial Training in Linear Regression. - Xie, Yiling; Huo, Xiaoming (2024)

Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classes. - Ko, Hyunouk; Huo, Xiaoming (CoRR, 2024)

Asymptotic Behavior of Adversarial Training Estimator under 𝓁∞-Perturbation. - Xie, Yiling; Huo, Xiaoming (CoRR, 2024)

Approximation of RKHS Functionals by Neural Networks. - Zhou, Tian-Yi; Suh, Namjoon; Cheng, Guang; Huo, Xiaoming (CoRR, 2024)

A Concentration Inequality for Maximum Mean Discrepancy (MMD)-based Statistics and Its Application in Generative Models. - Ni, Yijin; Huo, Xiaoming (CoRR, 2024)

Optimal Classification-based Anomaly Detection with Neural Networks: Theory and Practice. - Zhou, Tian-Yi; Lau, Matthew; Chen, Jizhou; Lee, Wenke; Huo, Xiaoming (CoRR, 2024)

Accelerate the warm-up stage in the Lasso computation via a homotopic approach. - Zhao, Yujie; Huo, Xiaoming (Comput. Stat. Data Anal., 2023)

Solving a Special Type of Optimal Transport Problem by a Modified Hungarian Algorithm. - Xie, Yiling; Luo, Yiling; Huo, Xiaoming (Trans. Mach. Learn. Res., 2023)

Improved Rate of First Order Algorithms for Entropic Optimal Transport. - Luo, Yiling; Xie, Yiling; Huo, Xiaoming (2023)

Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks. - Suh, Namjoon; Zhou, Tian-Yi; Huo, Xiaoming (2023)

Conformalization of Sparse Generalized Linear Models. - Guha, Etash Kumar; Ndiaye, Eugène; Huo, Xiaoming (2023)

Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning. - Xie, Yiling; Huo, Xiaoming (CoRR, 2023)

Generalization Bounds for Magnitude-Based Pruning via Sparse Matrix Sketching. - Guha, Etash Kumar; Dubey, Prasanjit; Huo, Xiaoming (CoRR, 2023)

Conformalization of Sparse Generalized Linear Models. - Guha, Etash Kumar; Ndiaye, Eugène; Huo, Xiaoming (CoRR, 2023)

Classification of Data Generated by Gaussian Mixture Models Using Deep ReLU Networks. - Zhou, Tian-Yi; Huo, Xiaoming (CoRR, 2023)

On Excess Risk Convergence Rates of Neural Network Classifiers. - Ko, Hyunouk; Suh, Namjoon; Huo, Xiaoming (CoRR, 2023)

Asymptotic Theory of \(\boldsymbol \ell _1\) -Regularized PDE Identification from a Single Noisy Trajectory. - He, Yuchen; Suh, Namjoon; Huo, Xiaoming; Kang, Sung Ha; Mei, Yajun (SIAM/ASA J. Uncertain. Quantification, 2022)

A New Sparse-Learning Model for Maximum Gap Reduction of Composite Fuselage Assembly. - Du, Juan; Cao, Shanshan; Hunt, Jeffrey H.; Huo, Xiaoming; Shi, Jianjun (Technometrics, 2022)

A Non-Parametric Regression Viewpoint : Generalization of Overparametrized Deep RELU Network Under Noisy Observations. - Suh, Namjoon; Ko, Hyunouk; Huo, Xiaoming (2022)

The Directional Bias Helps Stochastic Gradient Descent to Generalize in Kernel Regression Models. - Luo, Yiling; Huo, Xiaoming; Mei, Yajun (2022)

Implicit Regularization Properties of Variance Reduced Stochastic Mirror Descent. - Luo, Yiling; Huo, Xiaoming; Mei, Yajun (2022)

An Accelerated Stochastic Algorithm for Solving the Optimal Transport Problem. - Xie, Yiling; Luo, Yiling; Huo, Xiaoming (CoRR, 2022)

Implicit Regularization Properties of Variance Reduced Stochastic Mirror Descent. - Luo, Yiling; Huo, Xiaoming; Mei, Yajun (CoRR, 2022)

The Directional Bias Helps Stochastic Gradient Descent to Generalize in Kernel Regression Models. - Luo, Yiling; Huo, Xiaoming; Mei, Yajun (CoRR, 2022)

Learning Ability of Interpolating Convolutional Neural Networks. - Zhou, Tian-Yi; Huo, Xiaoming (CoRR, 2022)

Covariance Estimators for the ROOT-SGD Algorithm in Online Learning. - Luo, Yiling; Huo, Xiaoming; Mei, Yajun (CoRR, 2022)

Editorial: Mathematical Fundamentals of Machine Learning. - Glickenstein, David; Hamm, Keaton; Huo, Xiaoming; Mei, Yajun; Stoll, Martin (Frontiers Appl. Math. Stat., 2021)

A Statistically and Numerically Efficient Independence Test Based on Random Projections and Distance Covariance. - Huang, Cheng; Huo, Xiaoming (Frontiers Appl. Math. Stat., 2021)

A network model that combines latent factors and sparse graphs. - Suh, Namjoon; Huo, Xiaoming; Heim, Eric; Seversky, Lee M. (Stat. Anal. Data Min., 2021)

Asymptotic Convergence Rates of the Length of the Longest Run(s) in an Inflating Bernoulli Net. - Ni, Kai; Cao, Shanshan; Huo, Xiaoming (IEEE Trans. Inf. Theory, 2021)

Asymptotic Theory of 𝓁1-Regularized PDE Identification from a Single Noisy Trajectory. - He, Yuchen; Suh, Namjoon; Huo, Xiaoming; Kang, Sung Ha; Mei, Yajun (CoRR, 2021)

A Homotopic Method to Solve the Lasso Problems with an Improved Upper Bound of Convergence Rate. - Zhao, Yujie; Huo, Xiaoming (CoRR, 2020)

A distributed one-step estimator. - Huang, Cheng; Huo, Xiaoming (Math. Program., 2019)

Factor Analysis on Citation, Using a Combined Latent and Logistic Regression Model. - Suh, Namjoon; Huo, Xiaoming; Heim, Eric; Seversky, Lee M. (CoRR, 2019)

Stochastic leader-following consensus of multi-agent systems with measurement noises and communication time-delays. - Zhang, Yuanyuan; Li, Renfu; Zhao, Wei; Huo, Xiaoming (Neurocomputing, 2018)

Stochastic consensus of discrete-time second-order multi-agent systems with measurement noises and time delays. - Zhang, Yuanyuan; Li, Renfu; Huo, Xiaoming (J. Frankl. Inst., 2018)

Emergent Techniques and Applications for Big Visual Data. - Fang, Zhijun; Hwang, Jenq-Neng; Huo, Xiaoming; Lee, Hyo Jong; Denzler, Joachim (Int. J. Digit. Multim. Broadcast., 2017)

Clarifications for "Fast Computing for Distance Covariance" by Xiaoming Huo and Gábor J. Székely. - Huo, Xiaoming; Székely, Gábor J. (Technometrics, 2017)

Fast Computing for Distance Covariance. - Huo, Xiaoming; Székely, Gábor J. (Technometrics, 2016)

Kernel fusion-refinement for semi-supervised nonlinear dimension reduction. - Wang, Fang; Li, Renfu; Lei, Zhikun; Ni, Xuelei Sherry; Huo, Xiaoming; Chen, Ming (Pattern Recognit. Lett., 2015)

High-dimensional semi-supervised learning via a fusion-refinement procedure. - Lei, Zhikun; Li, Renfu; Ni, Xuelei Sherry; Huo, Xiaoming (Signal Process., 2015)

An Optimized Pixel-Wise Weighting Approach for Patch-Based Image Denoising. - Feng, Jianzhou; Song, Li; Huo, Xiaoming; Yang, Xiaokang; Zhang, Wenjun (IEEE Signal Process. Lett., 2015)

A Distributed One-Step Estimator. - Huang, Cheng; Huo, Xiaoming (CoRR, 2015)

A single interval based classifier. - Kim, Heeyoung; Huo, Xiaoming; Shi, Jianjun (Ann. Oper. Res., 2014)

Stabilization of the stochastic jump diffusion systems by state-feedback control. - Zhang, Yuanyuan; Li, Renfu; Li, Dinggen; Hu, Yang; Huo, Xiaoming (J. Frankl. Inst., 2014)

A Lipschitz Regularity-Based Statistical Model With Applications in Coordinate Metrology. - Kim, Heeyoung; Huo, Xiaoming; Shilling, Meghan; Tran, Hy D. (IEEE Trans Autom. Sci. Eng., 2014)

Evaluation of Different Algorithms of Nonnegative Matrix Factorization in Temporal Psychovisual Modulation. - Feng, Jianzhou; Huo, Xiaoming; Song, Li; Yang, Xiaokang; Zhang, Wenjun (IEEE Trans. Circuits Syst. Video Technol., 2014)

Optimal sampling and curve interpolation via wavelets. - Kim, Heeyoung; Huo, Xiaoming (Appl. Math. Lett., 2013)

Object tracking under low signal-to-noise-ratio with the instantaneous-possible-moving-position model. - Wang, Cheng-Liang; Huo, Xiaoming (Signal Process., 2013)

Fault Diagnosis Using an Enhanced Relevance Vector Machine (RVM) for Partially Diagnosable Multistation Assembly Processes. - Bastani, Kaveh; Kong, Zhenyu James; Huang, Wenzhen; Huo, Xiaoming; Zhou, Yingqing (IEEE Trans Autom. Sci. Eng., 2013)

Image restoration via efficient Gaussian mixture model learning. - Feng, Jianzhou; Song, Li; Huo, Xiaoming; Yang, Xiaokang; Zhang, Wenjun (2013)

Integer programming based approach for multiple-targets trajectory identification in WSNs. - Wang, Chengliang; Huo, Xiaoming; Song, Wen-Zhan (2013)

World Expo Problem and Its Mixed Integer Programming Based Solution. - Xu, Hongteng; Luo, Dixin; Huo, Xiaoming; Yang, Xiaokang (2013)

A Beamlet-Based Graph Structure for Path Planning Using Multiscale Information. - Lu, Yibiao; Huo, Xiaoming; Tsiotras, Panagiotis (IEEE Trans. Autom. Control., 2012)

FindingHuMo: Real-Time Tracking of Motion Trajectories from Anonymous Binary Sensing in Smart Environments. - De, Debraj; Song, Wen-Zhan; Xu, Mingsen; Wang, Chengliang; Cook, Diane J.; Huo, Xiaoming (2012)

New bounds on image denoising: Viewpoint of sparse representation and non-local averaging. - Feng, Jianzhou; Song, Li; Huo, Xiaoming; Yang, Xiaokang; Zhang, Wenjun (2012)

Incremental Multi-Scale Search Algorithm for Dynamic Path Planning With Low Worst-Case Complexity. - Lu, Yibiao; Huo, Xiaoming; Arslan, Oktay; Tsiotras, Panagiotis (IEEE Trans. Syst. Man Cybern. Part B, 2011)

Learning sparse dictionaries with a popularity-based model. - Feng, Jianzhou; Song, Li; Huo, Xiaoming; Yang, Xiaokang; Zhang, Wenjun (2011)

Multi-scale LPA* with low worst-case complexity guarantees. - Lu, Yibiao; Huo, Xiaoming; Arslan, Oktay; Tsiotras, Panagiotis (2011)

Solving shortest path problems with curvature constraints using beamlets. - Arslan, Oktay; Tsiotras, Panagiotis; Huo, Xiaoming (2011)

Beamlet-like data processing for accelerated path-planning using multiscale information of the environment. - Lu, Yibiao; Huo, Xiaoming; Tsiotras, Panagiotis (2010)

Image denoising using local tangent space alignment. - Feng, Jianzhou; Song, Li; Huo, Xiaoming; Yang, Xiaokang; Zhang, Wenjun (2010)

A finite-sample simulation study of cross validation in tree-based models. - Kim, Seoung Bum; Huo, Xiaoming; Tsui, Kwok-Leung (Inf. Technol. Manag., 2009)

Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm. - Smith, Andrew; Huo, Xiaoming; Zha, Hongyuan (2008)

FBP: A Frontier-Based Tree-Pruning Algorithm. - Huo, Xiaoming; Kim, Seoung Bum; Tsui, Kwok-Leung; Wang, Shuchun (INFORMS J. Comput., 2006)

Wavelet-Based Data Reduction Techniques for Process Fault Detection. - Jeong, Myong K.; Lu, Jye-Chyi; Huo, Xiaoming; Vidakovic, Brani; Chen, Di (Technometrics, 2006)

Theoretical Results on Sparse Representations of Multiple-Measurement Vectors. - Chen, Jie; Huo, Xiaoming (IEEE Trans. Signal Process., 2006)

Exact lower bound for proportion of maximally embedded beamlet. - Huo, Xiaoming (Appl. Math. Lett., 2005)

JBEAM: multiscale curve coding via beamlets. - Huo, Xiaoming; Chen, Jihong (IEEE Trans. Image Process., 2005)

Near-optimal detection of geometric objects by fast multiscale methods. - Arias-Castro, Ery; Donoho, David L.; Huo, Xiaoming (IEEE Trans. Inf. Theory, 2005)

Sparse representations for multiple measurement vectors (MMV) in an over-complete dictionary. - Chen, Jie; Huo, Xiaoming (2005)

A network flow approach in finding maximum likelihood estimate of high concentration regions. - Huo, Xiaoming; Lu, Jye-Chyi (Comput. Stat. Data Anal., 2004)

Beamlab and Reproducible Research. - Donoho, David L.; Huo, Xiaoming (Int. J. Wavelets Multiresolution Inf. Process., 2004)

A statistical analysis of Fukunaga-Koontz transform. - Huo, Xiaoming (IEEE Signal Process. Lett., 2004)

JBEAM: Coding Lines and Curves via Digital Beamlets. - Huo, Xiaoming; Chen, Jihong; Donoho, David L. (2004)

Detecting the presence of an inhomogeneous region in a homogeneous background: taking advantages of the underlying geometry via manifolds. - Huo, Xiaoming; Chen, Jihong (2004)

Recovering filamentary objects in severely degraded binary images using beamlet-driven partitioning. - Huo, Xiaoming; Donoho, David L. (2002)

Beamlet coder: A tree-based, hierarchical contour representation and coding method. - Chen, Jihong; Huo, Xiaoming (2002)

Uncertainty principles and ideal atomic decomposition. - Donoho, David L.; Huo, Xiaoming (IEEE Trans. Inf. Theory, 2001)

A simple and robust modulation classification method via counting. - Huo, Xiaoming; Donoho, David L. (1998)

Stochastic Behavior of Inter-Drop Time in an M Frame Buffer Video Decoding Scenario. - Huo, Xiaoming; Liu, Sam (1998)