Xiaoming Huo

According to our database, Xiaoming Huo authored at least 76 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Classification of Data Generated by Gaussian Mixture Models Using Deep ReLU Networks.

Tian-Yi Zhou, Xiaoming Huo

J. Mach. Learn. Res., 2024

Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning.

Yiling Xie, Xiaoming Huo

J. Mach. Learn. Res., 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

A Concentration Inequality for Maximum Mean Discrepancy (MMD)-based Statistics and Its Application in Generative Models.

Yijin Ni, Xiaoming Huo

CoRR, 2024

Approximation of RKHS Functionals by Neural Networks.

Tian-Yi Zhou, Namjoon Suh, Guang Cheng, Xiaoming Huo

CoRR, 2024

Asymptotic Behavior of Adversarial Training Estimator under 𝓁_∞-Perturbation.

Yiling Xie, Xiaoming Huo

CoRR, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Accelerate the warm-up stage in the Lasso computation via a homotopic approach.

Yujie Zhao, Xiaoming Huo

Comput. Stat. Data Anal., August, 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

On Excess Risk Convergence Rates of Neural Network Classifiers.

Hyunouk Ko, Namjoon Suh, 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

Proceedings of the International Conference on Machine Learning, 2023

Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks.

Namjoon Suh, Tian-Yi Zhou, Xiaoming Huo

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Improved Rate of First Order Algorithms for Entropic Optimal Transport.

Yiling Luo, Yiling Xie, Xiaoming Huo

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

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, March, 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

Covariance Estimators for the ROOT-SGD Algorithm in Online Learning.

Yiling Luo, Xiaoming Huo, Yajun Mei

CoRR, 2022

Learning Ability of Interpolating Convolutional Neural Networks.

Tian-Yi Zhou, Xiaoming Huo

CoRR, 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

Proceedings of the IEEE International Symposium on Information Theory, 2022

The Directional Bias Helps Stochastic Gradient Descent to Generalize in Kernel Regression Models.

Yiling Luo, Xiaoming Huo, Yajun Mei

Proceedings of the IEEE International Symposium on Information Theory, 2022

A Non-Parametric Regression Viewpoint : Generalization of Overparametrized Deep RELU Network Under Noisy Observations.

Namjoon Suh, Hyunouk Ko, Xiaoming Huo

Proceedings of the Tenth International Conference on Learning Representations, 2022

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 network model that combines latent factors and sparse graphs.

Namjoon Suh, Xiaoming Huo, Eric Heim, Lee M. Seversky

Stat. Anal. Data Min., 2021

A Statistically and Numerically Efficient Independence Test Based on Random Projections and Distance Covariance.

Cheng Huang, Xiaoming Huo

Frontiers Appl. Math. Stat., 2021

Editorial: Mathematical Fundamentals of Machine Learning.

David Glickenstein, Keaton Hamm, Xiaoming Huo, Yajun Mei, Martin Stoll

Frontiers Appl. Math. Stat., 2021

Asymptotic Theory of 𝓁₁-Regularized PDE Identification from a Single Noisy Trajectory.

Yuchen He, Namjoon Suh, Xiaoming Huo, Sung Ha Kang, Yajun Mei

CoRR, 2021

2020

A Homotopic Method to Solve the Lasso Problems with an Improved Upper Bound of Convergence Rate.

Yujie Zhao, Xiaoming Huo

CoRR, 2020

2019

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

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

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

2017

Clarifications for "Fast Computing for Distance Covariance" by Xiaoming Huo and Gábor J. Székely.

Xiaoming Huo, Gábor J. Székely

Technometrics, 2017

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

2016

Fast Computing for Distance Covariance.

Xiaoming Huo, Gábor J. Székely

Technometrics, 2016

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

High-dimensional semi-supervised learning via a fusion-refinement procedure.

Zhikun Lei, Renfu Li, Xuelei Sherry Ni, Xiaoming Huo

Signal Process., 2015

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

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

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

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 single interval based classifier.

Heeyoung Kim, Xiaoming Huo, Jianjun Shi

Ann. Oper. Res., 2014

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

Object tracking under low signal-to-noise-ratio with the instantaneous-possible-moving-position model.

Cheng-Liang Wang, Xiaoming Huo

Signal Process., 2013

Optimal sampling and curve interpolation via wavelets.

Heeyoung Kim, Xiaoming Huo

Appl. Math. Lett., 2013

World Expo Problem and Its Mixed Integer Programming Based Solution.

Hongteng Xu, Dixin Luo, Xiaoming Huo, Xiaokang Yang

Proceedings of the Behavior and Social Computing, 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, 2013

Image restoration via efficient Gaussian mixture model learning.

Jianzhou Feng, Li Song, Xiaoming Huo, Xiaokang Yang, Wenjun Zhang

Proceedings of the IEEE International Conference on Image Processing, 2013

2012

A Beamlet-Based Graph Structure for Path Planning Using Multiscale Information.

Yibiao Lu, Xiaoming Huo, Panagiotis Tsiotras

IEEE Trans. Autom. Control., 2012

New bounds on image denoising: Viewpoint of sparse representation and non-local averaging.

Jianzhou Feng, Li Song, Xiaoming Huo, Xiaokang Yang, Wenjun Zhang

Proceedings of the 2012 Visual Communications and Image Processing, 2012

FindingHuMo: Real-Time Tracking of Motion Trajectories from Anonymous Binary Sensing in Smart Environments.

Debraj De, Wen-Zhan Song, Mingsen Xu, Cheng-Liang Wang, Diane J. Cook, Xiaoming Huo

Proceedings of the 2012 IEEE 32nd International Conference on Distributed Computing Systems, 2012

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

Multi-scale LPA* with low worst-case complexity guarantees.

Yibiao Lu, Xiaoming Huo, Oktay Arslan, Panagiotis Tsiotras

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Solving shortest path problems with curvature constraints using beamlets.

Oktay Arslan, Panagiotis Tsiotras, Xiaoming Huo

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 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, 2011

2010

Image denoising using local tangent space alignment.

Jianzhou Feng, Li Song, Xiaoming Huo, Xiaokang Yang, Wenjun Zhang

Proceedings of the Visual Communications and Image Processing 2010, 2010

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, 2010

2009

A finite-sample simulation study of cross validation in tree-based models.

Seoung Bum Kim, Xiaoming Huo, Kwok-Leung Tsui

Inf. Technol. Manag., 2009

2008

Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm.

Andrew Smith, Xiaoming Huo, Hongyuan Zha

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2006

Theoretical Results on Sparse Representations of Multiple-Measurement Vectors.

Jie Chen, Xiaoming Huo

IEEE Trans. Signal Process., 2006

Wavelet-Based Data Reduction Techniques for Process Fault Detection.

Myong K. Jeong, Jye-Chyi Lu, Xiaoming Huo, Brani Vidakovic, Di Chen

Technometrics, 2006

FBP: A Frontier-Based Tree-Pruning Algorithm.

Xiaoming Huo, Seoung Bum Kim, Kwok-Leung Tsui, Shuchun Wang

INFORMS J. Comput., 2006

2005

Near-optimal detection of geometric objects by fast multiscale methods.

Ery Arias-Castro, David L. Donoho, Xiaoming Huo

IEEE Trans. Inf. Theory, 2005

JBEAM: multiscale curve coding via beamlets.

Xiaoming Huo, Jihong Chen

IEEE Trans. Image Process., 2005

Exact lower bound for proportion of maximally embedded beamlet.

Xiaoming Huo

Appl. Math. Lett., 2005

Sparse representations for multiple measurement vectors (MMV) in an over-complete dictionary.

Jie Chen, Xiaoming Huo

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004

A statistical analysis of Fukunaga-Koontz transform.

Xiaoming Huo

IEEE Signal Process. Lett., 2004

Beamlab and Reproducible Research.

David L. Donoho, Xiaoming Huo

Int. J. Wavelets Multiresolution Inf. Process., 2004

A network flow approach in finding maximum likelihood estimate of high concentration regions.

Xiaoming Huo, Jye-Chyi Lu

Comput. Stat. Data Anal., 2004

Detecting the presence of an inhomogeneous region in a homogeneous background: taking advantages of the underlying geometry via manifolds.

Xiaoming Huo, Jihong Chen

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

JBEAM: Coding Lines and Curves via Digital Beamlets.

Xiaoming Huo, Jihong Chen, David L. Donoho

Proceedings of the 2004 Data Compression Conference (DCC 2004), 2004

2002

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, 2002

Beamlet coder: A tree-based, hierarchical contour representation and coding method.

Jihong Chen, Xiaoming Huo

Proceedings of the IEEE International Conference on Acoustics, 2002

2001

Uncertainty principles and ideal atomic decomposition.

David L. Donoho, Xiaoming Huo

IEEE Trans. Inf. Theory, 2001

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, 1998

A simple and robust modulation classification method via counting.

Xiaoming Huo, David L. Donoho

Proceedings of the 1998 IEEE International Conference on Acoustics, 1998