Xiaoming Huo

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 37

Top Topics

Noisy Observations

Nonnegative Matrix Factorization

Convergence Rate

Top Venues

Frontiers Appl. Math. Stat.

Publications

Tian-Yi Zhou, Namjoon Suh, Guang Cheng, Xiaoming Huo
Approximation of RKHS Functionals by Neural Networks. CoRR (2024)
Yijin Ni, Xiaoming Huo
A Concentration Inequality for Maximum Mean Discrepancy (MMD)-based Statistics and Its Application in Generative Models. CoRR (2024)
Hyunouk Ko, Xiaoming Huo
Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classes. CoRR (2024)
Yiling Xie, Xiaoming Huo
-Perturbation. CoRR (2024)
Etash Kumar Guha, Eugène Ndiaye, Xiaoming Huo
Conformalization of Sparse Generalized Linear Models. CoRR (2023)
Etash Kumar Guha, Eugène Ndiaye, Xiaoming Huo
Conformalization of Sparse Generalized Linear Models. ICML (2023)
Yiling Luo, Yiling Xie, Xiaoming Huo
Improved Rate of First Order Algorithms for Entropic Optimal Transport. AISTATS (2023)
Etash Kumar Guha, Prasanjit Dubey, Xiaoming Huo
Generalization Bounds for Magnitude-Based Pruning via Sparse Matrix Sketching. CoRR (2023)
Namjoon Suh, Tian-Yi Zhou, Xiaoming Huo
Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks. ICLR (2023)
Tian-Yi Zhou, Xiaoming Huo
Classification of Data Generated by Gaussian Mixture Models Using Deep ReLU Networks. CoRR (2023)
Hyunouk Ko, Namjoon Suh, Xiaoming Huo
On Excess Risk Convergence Rates of Neural Network Classifiers. CoRR (2023)
Yiling Xie, Xiaoming Huo
Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning. CoRR (2023)
Yiling Xie, Yiling Luo, Xiaoming Huo
Solving a Special Type of Optimal Transport Problem by a Modified Hungarian Algorithm. Trans. Mach. Learn. Res. 2023 (2023)
Yujie Zhao, Xiaoming Huo
Accelerate the warm-up stage in the Lasso computation via a homotopic approach. Comput. Stat. Data Anal. 184 (2023)
Yuchen He, Namjoon Suh, Xiaoming Huo, Sung Ha Kang, Yajun Mei
Asymptotic Theory of \(\boldsymbol \ell _1\) -Regularized PDE Identification from a Single Noisy Trajectory. SIAM/ASA J. Uncertain. Quantification 10 (1) (2022)
Yiling Luo, Xiaoming Huo, Yajun Mei
Covariance Estimators for the ROOT-SGD Algorithm in Online Learning. CoRR (2022)
Yiling Luo, Xiaoming Huo, Yajun Mei
The Directional Bias Helps Stochastic Gradient Descent to Generalize in Kernel Regression Models. CoRR (2022)
Yiling Luo, Xiaoming Huo, Yajun Mei
The Directional Bias Helps Stochastic Gradient Descent to Generalize in Kernel Regression Models. ISIT (2022)
Namjoon Suh, Hyunouk Ko, Xiaoming Huo
A Non-Parametric Regression Viewpoint : Generalization of Overparametrized Deep RELU Network Under Noisy Observations. ICLR (2022)
Yiling Xie, Yiling Luo, Xiaoming Huo
An Accelerated Stochastic Algorithm for Solving the Optimal Transport Problem. CoRR (2022)
Tian-Yi Zhou, Xiaoming Huo
Learning Ability of Interpolating Convolutional Neural Networks. CoRR (2022)
Yiling Luo, Xiaoming Huo, Yajun Mei
Implicit Regularization Properties of Variance Reduced Stochastic Mirror Descent. CoRR (2022)
Juan Du, Shanshan Cao, Jeffrey H. Hunt, Xiaoming Huo, Jianjun Shi
A New Sparse-Learning Model for Maximum Gap Reduction of Composite Fuselage Assembly. Technometrics 64 (3) (2022)
Yiling Luo, Xiaoming Huo, Yajun Mei
Implicit Regularization Properties of Variance Reduced Stochastic Mirror Descent. ISIT (2022)
Kai Ni, Shanshan Cao, Xiaoming Huo
Asymptotic Convergence Rates of the Length of the Longest Run(s) in an Inflating Bernoulli Net. IEEE Trans. Inf. Theory 67 (9) (2021)
David Glickenstein, Keaton Hamm, Xiaoming Huo, Yajun Mei, Martin Stoll
Editorial: Mathematical Fundamentals of Machine Learning. Frontiers Appl. Math. Stat. 7 (2021)
Namjoon Suh, Xiaoming Huo, Eric Heim, Lee M. Seversky
A network model that combines latent factors and sparse graphs. Stat. Anal. Data Min. 14 (2) (2021)
Yuchen He, Namjoon Suh, Xiaoming Huo, Sung Ha Kang, Yajun Mei
-Regularized PDE Identification from a Single Noisy Trajectory. CoRR (2021)
Cheng Huang, Xiaoming Huo
A Statistically and Numerically Efficient Independence Test Based on Random Projections and Distance Covariance. Frontiers Appl. Math. Stat. 7 (2021)
Yujie Zhao, Xiaoming Huo
A Homotopic Method to Solve the Lasso Problems with an Improved Upper Bound of Convergence Rate. CoRR (2020)
Cheng Huang, Xiaoming Huo
A distributed one-step estimator. Math. Program. 174 (1-2) (2019)
Namjoon Suh, Xiaoming Huo, Eric Heim, Lee M. Seversky
Factor Analysis on Citation, Using a Combined Latent and Logistic Regression Model. CoRR (2019)
Yuanyuan Zhang, Renfu Li, Wei Zhao, Xiaoming Huo
Stochastic leader-following consensus of multi-agent systems with measurement noises and communication time-delays. Neurocomputing 282 (2018)
Yuanyuan Zhang, Renfu Li, Xiaoming Huo
Stochastic consensus of discrete-time second-order multi-agent systems with measurement noises and time delays. J. Frankl. Inst. 355 (5) (2018)
Zhijun Fang, Jenq-Neng Hwang, Xiaoming Huo, Hyo Jong Lee, Joachim Denzler
Emergent Techniques and Applications for Big Visual Data. Int. J. Digit. Multim. Broadcast. 2017 (2017)
Xiaoming Huo, Gábor J. Székely
Clarifications for "Fast Computing for Distance Covariance" by Xiaoming Huo and Gábor J. Székely. Technometrics 59 (1) (2017)
Xiaoming Huo, Gábor J. Székely
Fast Computing for Distance Covariance. Technometrics 58 (4) (2016)
Zhikun Lei, Renfu Li, Xuelei Sherry Ni, Xiaoming Huo
High-dimensional semi-supervised learning via a fusion-refinement procedure. Signal Process. 114 (2015)
Cheng Huang, Xiaoming Huo
A Distributed One-Step Estimator. CoRR (2015)
Jianzhou Feng, Li Song, Xiaoming Huo, Xiaokang Yang, Wenjun Zhang
An Optimized Pixel-Wise Weighting Approach for Patch-Based Image Denoising. IEEE Signal Process. Lett. 22 (1) (2015)
Fang Wang, Renfu Li, Zhikun Lei, Xuelei Sherry Ni, Xiaoming Huo, Ming Chen
Kernel fusion-refinement for semi-supervised nonlinear dimension reduction. Pattern Recognit. Lett. 63 (2015)
Heeyoung Kim, Xiaoming Huo, Jianjun Shi
A single interval based classifier. Ann. Oper. Res. 216 (1) (2014)
Heeyoung Kim, Xiaoming Huo, Meghan Shilling, Hy D. Tran
A Lipschitz Regularity-Based Statistical Model With Applications in Coordinate Metrology. IEEE Trans Autom. Sci. Eng. 11 (2) (2014)
Yuanyuan Zhang, Renfu Li, Dinggen Li, Yang Hu, Xiaoming Huo
Stabilization of the stochastic jump diffusion systems by state-feedback control. J. Frankl. Inst. 351 (3) (2014)
Jianzhou Feng, Xiaoming Huo, Li Song, Xiaokang Yang, Wenjun Zhang
Evaluation of Different Algorithms of Nonnegative Matrix Factorization in Temporal Psychovisual Modulation. IEEE Trans. Circuits Syst. Video Technol. 24 (4) (2014)
Chengliang Wang, Xiaoming Huo, Wen-Zhan Song
Integer programming based approach for multiple-targets trajectory identification in WSNs. ICNSC (2013)
Jianzhou Feng, Li Song, Xiaoming Huo, Xiaokang Yang, Wenjun Zhang
Image restoration via efficient Gaussian mixture model learning. ICIP (2013)
Kaveh Bastani, Zhenyu James Kong, Wenzhen Huang, Xiaoming Huo, Yingqing Zhou
Fault Diagnosis Using an Enhanced Relevance Vector Machine (RVM) for Partially Diagnosable Multistation Assembly Processes. IEEE Trans Autom. Sci. Eng. 10 (1) (2013)
Cheng-Liang Wang, Xiaoming Huo
Object tracking under low signal-to-noise-ratio with the instantaneous-possible-moving-position model. Signal Process. 93 (5) (2013)
Heeyoung Kim, Xiaoming Huo
Optimal sampling and curve interpolation via wavelets. Appl. Math. Lett. 26 (7) (2013)
Hongteng Xu, Dixin Luo, Xiaoming Huo, Xiaokang Yang
World Expo Problem and Its Mixed Integer Programming Based Solution. BSI@PAKDD/BSIC@IJCAI (2013)
Yibiao Lu, Xiaoming Huo, Panagiotis Tsiotras
A Beamlet-Based Graph Structure for Path Planning Using Multiscale Information. IEEE Trans. Autom. Control. 57 (5) (2012)
Debraj De, Wen-Zhan Song, Mingsen Xu, Cheng-Liang Wang, Diane J. Cook, Xiaoming Huo
FindingHuMo: Real-Time Tracking of Motion Trajectories from Anonymous Binary Sensing in Smart Environments. ICDCS (2012)
Jianzhou Feng, Li Song, Xiaoming Huo, Xiaokang Yang, Wenjun Zhang
New bounds on image denoising: Viewpoint of sparse representation and non-local averaging. VCIP (2012)
Oktay Arslan, Panagiotis Tsiotras, Xiaoming Huo
Solving shortest path problems with curvature constraints using beamlets. IROS (2011)
Yibiao Lu, Xiaoming Huo, Oktay Arslan, Panagiotis Tsiotras
Incremental Multi-Scale Search Algorithm for Dynamic Path Planning With Low Worst-Case Complexity. IEEE Trans. Syst. Man Cybern. Part B 41 (6) (2011)
Yibiao Lu, Xiaoming Huo, Oktay Arslan, Panagiotis Tsiotras
Multi-scale LPA* with low worst-case complexity guarantees. IROS (2011)
Jianzhou Feng, Li Song, Xiaoming Huo, Xiaokang Yang, Wenjun Zhang
Learning sparse dictionaries with a popularity-based model. ICASSP (2011)
Yibiao Lu, Xiaoming Huo, Panagiotis Tsiotras
Beamlet-like data processing for accelerated path-planning using multiscale information of the environment. CDC (2010)
Jianzhou Feng, Li Song, Xiaoming Huo, Xiaokang Yang, Wenjun Zhang
Image denoising using local tangent space alignment. VCIP (2010)
Seoung Bum Kim, Xiaoming Huo, Kwok-Leung Tsui
A finite-sample simulation study of cross validation in tree-based models. Inf. Technol. Manag. 10 (4) (2009)
Andrew Smith, Xiaoming Huo, Hongyuan Zha
Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm. NIPS (2008)
Jie Chen, Xiaoming Huo
Theoretical Results on Sparse Representations of Multiple-Measurement Vectors. IEEE Trans. Signal Process. 54 (12) (2006)
Myong K. Jeong, Jye-Chyi Lu, Xiaoming Huo, Brani Vidakovic, Di Chen
Wavelet-Based Data Reduction Techniques for Process Fault Detection. Technometrics 48 (1) (2006)
Xiaoming Huo, Seoung Bum Kim, Kwok-Leung Tsui, Shuchun Wang
FBP: A Frontier-Based Tree-Pruning Algorithm. INFORMS J. Comput. 18 (4) (2006)
Ery Arias-Castro, David L. Donoho, Xiaoming Huo
Near-optimal detection of geometric objects by fast multiscale methods. IEEE Trans. Inf. Theory 51 (7) (2005)
Xiaoming Huo, Jihong Chen
JBEAM: multiscale curve coding via beamlets. IEEE Trans. Image Process. 14 (11) (2005)
Jie Chen, Xiaoming Huo
Sparse representations for multiple measurement vectors (MMV) in an over-complete dictionary. ICASSP (4) (2005)
Xiaoming Huo
Exact lower bound for proportion of maximally embedded beamlet. Appl. Math. Lett. 18 (5) (2005)
Xiaoming Huo, Jye-Chyi Lu
A network flow approach in finding maximum likelihood estimate of high concentration regions. Comput. Stat. Data Anal. 46 (1) (2004)
Xiaoming Huo, Jihong Chen, David L. Donoho
JBEAM: Coding Lines and Curves via Digital Beamlets. Data Compression Conference (2004)
Xiaoming Huo
A statistical analysis of Fukunaga-Koontz transform. IEEE Signal Process. Lett. 11 (2) (2004)
David L. Donoho, Xiaoming Huo
Beamlab and Reproducible Research. Int. J. Wavelets Multiresolution Inf. Process. 2 (4) (2004)
Xiaoming Huo, Jihong Chen
Detecting the presence of an inhomogeneous region in a homogeneous background: taking advantages of the underlying geometry via manifolds. ICASSP (3) (2004)
Jihong Chen, Xiaoming Huo
Beamlet coder: A tree-based, hierarchical contour representation and coding method. ICASSP (2002)
Xiaoming Huo, David L. Donoho
Recovering filamentary objects in severely degraded binary images using beamlet-driven partitioning. ICASSP (2002)
David L. Donoho, Xiaoming Huo
Uncertainty principles and ideal atomic decomposition. IEEE Trans. Inf. Theory 47 (7) (2001)
Xiaoming Huo, David L. Donoho
A simple and robust modulation classification method via counting. ICASSP (1998)
Xiaoming Huo, Sam Liu
Stochastic Behavior of Inter-Drop Time in an M Frame Buffer Video Decoding Scenario. ICIP (2) (1998)