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

Stochastic Behavior of Inter-Drop Time in an M Frame Buffer Video Decoding Scenario. - Xiaoming Huo; Sam Liu (ICIP (2), 1998)

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

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

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

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

Detecting the presence of an inhomogeneous region in a homogeneous background: taking advantages of the underlying geometry via manifolds. - Xiaoming Huo; Jihong Chen (ICASSP (3), 2004)

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

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

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

Sparse representations for multiple measurement vectors (MMV) in an over-complete dictionary. - Jie Chen 054; Xiaoming Huo (ICASSP (4), 2005)

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

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

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

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

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

Theoretical Results on Sparse Representations of Multiple-Measurement Vectors. - Jie Chen 054; Xiaoming Huo (IEEE Trans. Signal Process., 2006)

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

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

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

Image denoising using local tangent space alignment. - Jianzhou Feng 001; Li Song 001; Xiaoming Huo; Xiaokang Yang 001; Wenjun Zhang 001 (VCIP, 2010)

Learning sparse dictionaries with a popularity-based model. - Jianzhou Feng 001; Li Song 001; Xiaoming Huo; Xiaokang Yang 001; Wenjun Zhang 001 (ICASSP, 2011)

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

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

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

FindingHuMo: Real-Time Tracking of Motion Trajectories from Anonymous Binary Sensing in Smart Environments. - Debraj De; Wen-Zhan Song 001; Mingsen Xu; Chengliang Wang 002; Diane J. Cook; Xiaoming Huo (ICDCS, 2012)

New bounds on image denoising: Viewpoint of sparse representation and non-local averaging. - Jianzhou Feng 001; Li Song 001; Xiaoming Huo; Xiaokang Yang 001; Wenjun Zhang 001 (VCIP, 2012)

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

Image restoration via efficient Gaussian mixture model learning. - Jianzhou Feng 001; Li Song 001; Xiaoming Huo; Xiaokang Yang 001; Wenjun Zhang 001 (ICIP, 2013)

Integer programming based approach for multiple-targets trajectory identification in WSNs. - Chengliang Wang 002; Xiaoming Huo; Wen-Zhan Song 001 (ICNSC, 2013)

World Expo Problem and Its Mixed Integer Programming Based Solution. - Hongteng Xu; Dixin Luo; Xiaoming Huo; Xiaokang Yang 001 (BSI@PAKDD/BSIC@IJCAI, 2013)

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

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

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

A single interval based classifier. - Heeyoung Kim; Xiaoming Huo; Jianjun Shi 001 (Ann. Oper. Res., 2014)

Stabilization of the stochastic jump diffusion systems by state-feedback control. - Yuanyuan Zhang 011; Renfu Li; Dinggen Li; Yang Hu 010; Xiaoming Huo (J. Frankl. Inst., 2014)

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

Evaluation of Different Algorithms of Nonnegative Matrix Factorization in Temporal Psychovisual Modulation. - Jianzhou Feng 001; Xiaoming Huo; Li Song 001; Xiaokang Yang 001; Wenjun Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2014)

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

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

An Optimized Pixel-Wise Weighting Approach for Patch-Based Image Denoising. - Jianzhou Feng 001; Li Song 001; Xiaoming Huo; Xiaokang Yang 001; Wenjun Zhang 001 (IEEE Signal Process. Lett., 2015)

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

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

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

Stochastic leader-following consensus of multi-agent systems with measurement noises and communication time-delays. - Yuanyuan Zhang 011; Renfu Li; Wei Zhao 018; Xiaoming Huo (Neurocomputing, 2018)

Stochastic consensus of discrete-time second-order multi-agent systems with measurement noises and time delays. - Yuanyuan Zhang 011; Renfu Li; Xiaoming Huo (J. Frankl. Inst., 2018)

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

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

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

Asymptotic Theory of 𝓁1-Regularized PDE Identification from a Single Noisy Trajectory. - Yuchen He 001; Namjoon Suh; Xiaoming Huo; Sung Ha Kang; Yajun Mei (CoRR, 2021)

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

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

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

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

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

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

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

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

Learning Ability of Interpolating Convolutional Neural Networks. - Tian-Yi Zhou 009; Xiaoming Huo (CoRR, 2022)

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

A New Sparse-Learning Model for Maximum Gap Reduction of Composite Fuselage Assembly. - Juan Du 009; Shanshan Cao; Jeffrey H. Hunt; Xiaoming Huo; Jianjun Shi 001 (Technometrics, 2022)

Asymptotic Theory of ( boldsymbol ell _1 ) -Regularized PDE Identification from a Single Noisy Trajectory. - Yuchen He 001; Namjoon Suh; Xiaoming Huo; Sung Ha Kang; Yajun Mei (SIAM/ASA J. Uncertain. Quantification, 2022)

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

Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks. - Namjoon Suh; Tian-Yi Zhou 009; Xiaoming Huo (ICLR, 2023)

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

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

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

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

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

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

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

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

Approximation of RKHS Functionals by Neural Networks. - Tian-Yi Zhou 009; Namjoon Suh; Guang Cheng 003; Xiaoming Huo (CoRR, 2024)

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

Optimal Classification-based Anomaly Detection with Neural Networks: Theory and Practice. - Tian-Yi Zhou 009; Matthew Lau; Jizhou Chen; Wenke Lee; Xiaoming Huo (CoRR, 2024)

High-Dimensional Multivariate Linear Regression with Weighted Nuclear Norm Regularization. - Namjoon Suh; Li-Hsiang Lin; Xiaoming Huo (J. Comput. Graph. Stat., 2024)

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

Classification of Data Generated by Gaussian Mixture Models Using Deep ReLU Networks. - Tian-Yi Zhou 009; Xiaoming Huo (J. Mach. Learn. Res., 2024)

Towards Domain Adaptive Neural Contextual Bandits. - Ziyan Wang; Xiaoming Huo; Hao Wang 014 (ICLR, 2025)

PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image Generation. - Ziyan Wang; Sizhe Wei; Xiaoming Huo; Hao Wang 014 (CoRR, 2025)

Bridging Unsupervised and Semi-Supervised Anomaly Detection: A Theoretically-Grounded and Practical Framework with Synthetic Anomalies. - Matthew Lau; Tian-Yi Zhou 009; Xiangchi Yuan; Jizhou Chen; Wenke Lee; Xiaoming Huo (CoRR, 2025)