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

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; Xiaoming Huo (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 - Hyunouk Ko; Xiaoming Huo (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

High-dimensional (Group) Adversarial Training in Linear Regression - Yiling Xie; Xiaoming Huo (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

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

Asymptotic Behavior of Adversarial Training Estimator under 120001\(_\(∞\)\)-Perturbation - Yiling Xie; Xiaoming Huo (CoRR, 2024)

Approximation of RKHS Functionals by Neural Networks - Tian-Yi Zhou; Namjoon Suh; Guang Cheng; 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; Matthew Lau; Jizhou Chen; Wenke Lee; Xiaoming Huo (CoRR, 2024)

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

Improved Rate of First Order Algorithms for Entropic Optimal Transport - Yiling Luo; Yiling Xie; Xiaoming Huo (International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain, 2023)

Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks - Namjoon Suh; Tian-Yi Zhou; Xiaoming Huo (The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 2023)

Conformalization of Sparse Generalized Linear Models - Etash Kumar Guha; Eugène Ndiaye; Xiaoming Huo (International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, 2023)

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

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

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

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

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

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

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

A Non-Parametric Regression Viewpoint : Generalization of Overparametrized Deep RELU Network Under Noisy Observations - Namjoon Suh; Hyunouk Ko; Xiaoming Huo (The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, 2022)

The Directional Bias Helps Stochastic Gradient Descent to Generalize in Kernel Regression Models - Yiling Luo; Xiaoming Huo; Yajun Mei (IEEE International Symposium on Information Theory, ISIT 2022, Espoo, Finland, June 26 - July 1, 2022, 2022)

Implicit Regularization Properties of Variance Reduced Stochastic Mirror Descent - Yiling Luo; Xiaoming Huo; Yajun Mei (IEEE International Symposium on Information Theory, ISIT 2022, Espoo, Finland, June 26 - July 1, 2022, 2022)

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

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

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

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

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

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)

Asymptotic Theory of 120001\(_1\)-Regularized PDE Identification from a Single Noisy Trajectory - Yuchen He; Namjoon Suh; Xiaoming Huo; Sung Ha Kang; Yajun Mei (CoRR, 2021)

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

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

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

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

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

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)

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

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; Li Song; Xiaoming Huo; Xiaokang Yang; Wenjun Zhang (IEEE Signal Process. Lett., 2015)

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

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

Stabilization of the stochastic jump diffusion systems by state-feedback control - Yuanyuan Zhang; Renfu Li; Dinggen Li; Yang Hu; 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; Xiaoming Huo; Li Song; Xiaokang Yang; Wenjun Zhang (IEEE Trans. Circuits Syst. Video Technol., 2014)

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)

Image restoration via efficient Gaussian mixture model learning - Jianzhou Feng; Li Song; Xiaoming Huo; Xiaokang Yang; Wenjun Zhang (IEEE International Conference on Image Processing, ICIP 2013, Melbourne, Australia, September 15-18, 2013, 2013)

Integer programming based approach for multiple-targets trajectory identification in WSNs - Chengliang Wang; Xiaoming Huo; Wen-Zhan Song (Proceedings of 10th IEEE International Conference on Networking, Sensing and Control, ICNSC 2013, Evry, France, April 10-12, 2013, 2013)

World Expo Problem and Its Mixed Integer Programming Based Solution - Hongteng Xu; Dixin Luo; Xiaoming Huo; Xiaokang Yang (Behavior and Social Computing, International Workshop on Behavior and Social Informatics, BSI 2013, Gold Coast, QLD, Australia, April 14-17, 2013 and International Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Beijing, China, August 3-9, 2013, Revised Selected Papers, 2013)

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

FindingHuMo: Real-Time Tracking of Motion Trajectories from Anonymous Binary Sensing in Smart Environments - Debraj De; Wen-Zhan Song; Mingsen Xu; Chengliang Wang; Diane J. Cook; Xiaoming Huo (2012 IEEE 32nd International Conference on Distributed Computing Systems, Macau, China, June 18-21, 2012, 2012)

New bounds on image denoising: Viewpoint of sparse representation and non-local averaging - Jianzhou Feng; Li Song; Xiaoming Huo; Xiaokang Yang; Wenjun Zhang (2012 Visual Communications and Image Processing, VCIP 2012, San Diego, CA, USA, November 27-30, 2012, 2012)

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)

Learning sparse dictionaries with a popularity-based model - Jianzhou Feng; Li Song; Xiaoming Huo; Xiaokang Yang; Wenjun Zhang (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011, May 22-27, 2011, Prague Congress Center, Prague, Czech Republic, 2011)

Multi-scale LPA* with low worst-case complexity guarantees - Yibiao Lu; Xiaoming Huo; Oktay Arslan; Panagiotis Tsiotras (2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2011, San Francisco, CA, USA, September 25-30, 2011, 2011)

Solving shortest path problems with curvature constraints using beamlets - Oktay Arslan; Panagiotis Tsiotras; Xiaoming Huo (2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2011, San Francisco, CA, USA, September 25-30, 2011, 2011)

Beamlet-like data processing for accelerated path-planning using multiscale information of the environment - Yibiao Lu; Xiaoming Huo; Panagiotis Tsiotras (Proceedings of the 49th IEEE Conference on Decision and Control, CDC 2010, December 15-17, 2010, Atlanta, Georgia, USA, 2010)

Image denoising using local tangent space alignment - Jianzhou Feng; Li Song; Xiaoming Huo; Xiaokang Yang; Wenjun Zhang (Visual Communications and Image Processing 2010, VCIP 2010, Huangshan, China, 11-14 July 2010, 2010)

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

Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm - Andrew Smith; Xiaoming Huo; Hongyuan Zha (Advances in Neural Information Processing Systems 21, Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 8-11, 2008, 2008)

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; Xiaoming Huo (IEEE Trans. Signal Process., 2006)

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)

Sparse representations for multiple measurement vectors (MMV) in an over-complete dictionary - Jie Chen; Xiaoming Huo (2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05, Philadelphia, Pennsylvania, USA, March 18-23, 2005, 2005)

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)

JBEAM: Coding Lines and Curves via Digital Beamlets - Xiaoming Huo; Jihong Chen; David L. Donoho (2004 Data Compression Conference (DCC 2004), 23-25 March 2004, Snowbird, UT, USA, 2004)

Detecting the presence of an inhomogeneous region in a homogeneous background: taking advantages of the underlying geometry via manifolds - Xiaoming Huo; Jihong Chen (2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2004, Montreal, Quebec, Canada, May 17-21, 2004, 2004)

Recovering filamentary objects in severely degraded binary images using beamlet-driven partitioning - Xiaoming Huo; David L. Donoho (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2002, May 13-17 2002, Orlando, Florida, USA, 2002)

Beamlet coder: A tree-based, hierarchical contour representation and coding method - Jihong Chen; Xiaoming Huo (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2002, May 13-17 2002, Orlando, Florida, USA, 2002)

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

A simple and robust modulation classification method via counting - Xiaoming Huo; David L. Donoho (Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98, Seattle, Washington, USA, May 12-15, 1998, 1998)

Stochastic Behavior of Inter-Drop Time in an M Frame Buffer Video Decoding Scenario - Xiaoming Huo; Sam Liu (Proceedings of the 1998 IEEE International Conference on Image Processing, ICIP-98, Chicago, Illinois, USA, October 4-7, 1998, 1998)