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Xiaoming Huo
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2020 – today
- 2024
- [j39]Yiling Xie, Xiaoming Huo:
Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning. J. Mach. Learn. Res. 25: 148:1-148:40 (2024) - [j38]Tian-Yi Zhou, Xiaoming Huo:
Classification of Data Generated by Gaussian Mixture Models Using Deep ReLU Networks. J. Mach. Learn. Res. 25: 190:1-190:54 (2024) - [c25]Hyunouk Ko, Xiaoming Huo:
Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classes. ICML 2024 - [i19]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 abs/2401.04286 (2024) - [i18]Yiling Xie, Xiaoming Huo:
Asymptotic Behavior of Adversarial Training Estimator under 𝓁∞-Perturbation. CoRR abs/2401.15262 (2024) - [i17]Tian-Yi Zhou, Namjoon Suh, Guang Cheng, Xiaoming Huo:
Approximation of RKHS Functionals by Neural Networks. CoRR abs/2403.12187 (2024) - [i16]Yijin Ni, Xiaoming Huo:
A Concentration Inequality for Maximum Mean Discrepancy (MMD)-based Statistics and Its Application in Generative Models. CoRR abs/2405.14051 (2024) - [i15]Tian-Yi Zhou, Matthew Lau, Jizhou Chen, Wenke Lee, Xiaoming Huo:
Optimal Classification-based Anomaly Detection with Neural Networks: Theory and Practice. CoRR abs/2409.08521 (2024) - 2023
- [j37]Yujie Zhao
, Xiaoming Huo:
Accelerate the warm-up stage in the Lasso computation via a homotopic approach. Comput. Stat. Data Anal. 184: 107747 (2023) - [j36]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) - [c24]Yiling Luo, Yiling Xie, Xiaoming Huo:
Improved Rate of First Order Algorithms for Entropic Optimal Transport. AISTATS 2023: 2723-2750 - [c23]Namjoon Suh, Tian-Yi Zhou, Xiaoming Huo:
Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks. ICLR 2023 - [c22]Etash Kumar Guha, Eugène Ndiaye, Xiaoming Huo:
Conformalization of Sparse Generalized Linear Models. ICML 2023: 11871-11887 - [i14]Yiling Xie, Xiaoming Huo:
Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning. CoRR abs/2303.15579 (2023) - [i13]Etash Kumar Guha, Prasanjit Dubey, Xiaoming Huo:
Generalization Bounds for Magnitude-Based Pruning via Sparse Matrix Sketching. CoRR abs/2305.18789 (2023) - [i12]Etash Kumar Guha, Eugène Ndiaye, Xiaoming Huo:
Conformalization of Sparse Generalized Linear Models. CoRR abs/2307.05109 (2023) - [i11]Tian-Yi Zhou, Xiaoming Huo:
Classification of Data Generated by Gaussian Mixture Models Using Deep ReLU Networks. CoRR abs/2308.08030 (2023) - [i10]Hyunouk Ko, Namjoon Suh, Xiaoming Huo:
On Excess Risk Convergence Rates of Neural Network Classifiers. CoRR abs/2309.15075 (2023) - 2022
- [j35]Yuchen He
Asymptotic Theory of \(\boldsymbol \ell _1\) -Regularized PDE Identification from a Single Noisy Trajectory. SIAM/ASA J. Uncertain. Quantification 10(1): 1012-1036 (2022) - [j34]Juan Du
A New Sparse-Learning Model for Maximum Gap Reduction of Composite Fuselage Assembly. Technometrics 64(3): 409-418 (2022) - [c21]Namjoon Suh, Hyunouk Ko, Xiaoming Huo:
A Non-Parametric Regression Viewpoint : Generalization of Overparametrized Deep RELU Network Under Noisy Observations. ICLR 2022 - [c20]Yiling Luo, Xiaoming Huo, Yajun Mei:
The Directional Bias Helps Stochastic Gradient Descent to Generalize in Kernel Regression Models. ISIT 2022: 678-683 - [c19]Yiling Luo, Xiaoming Huo, Yajun Mei:
Implicit Regularization Properties of Variance Reduced Stochastic Mirror Descent. ISIT 2022: 696-701 - [i9]Yiling Xie, Yiling Luo, Xiaoming Huo:
An Accelerated Stochastic Algorithm for Solving the Optimal Transport Problem. CoRR abs/2203.00813 (2022) - [i8]Yiling Luo, Xiaoming Huo, Yajun Mei:
Implicit Regularization Properties of Variance Reduced Stochastic Mirror Descent. CoRR abs/2205.00058 (2022) - [i7]Yiling Luo, Xiaoming Huo, Yajun Mei:
The Directional Bias Helps Stochastic Gradient Descent to Generalize in Kernel Regression Models. CoRR abs/2205.00061 (2022) - [i6]Tian-Yi Zhou, Xiaoming Huo:
Learning Ability of Interpolating Convolutional Neural Networks. CoRR abs/2210.14184 (2022) - [i5]Yiling Luo, Xiaoming Huo, Yajun Mei:
Covariance Estimators for the ROOT-SGD Algorithm in Online Learning. CoRR abs/2212.01259 (2022) - 2021
- [j33]David Glickenstein
Editorial: Mathematical Fundamentals of Machine Learning. Frontiers Appl. Math. Stat. 7: 674785 (2021) - [j32]Cheng Huang, Xiaoming Huo:
A Statistically and Numerically Efficient Independence Test Based on Random Projections and Distance Covariance. Frontiers Appl. Math. Stat. 7: 779841 (2021) - [j31]Namjoon Suh, Xiaoming Huo
A network model that combines latent factors and sparse graphs. Stat. Anal. Data Min. 14(2): 97-115 (2021) - [j30]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): 5922-5941 (2021) - [i4]Yuchen He, Namjoon Suh, Xiaoming Huo, Sung Ha Kang, Yajun Mei:
Asymptotic Theory of 𝓁1-Regularized PDE Identification from a Single Noisy Trajectory. CoRR abs/2103.07045 (2021) - 2020
- [i3]Yujie Zhao, Xiaoming Huo:
A Homotopic Method to Solve the Lasso Problems with an Improved Upper Bound of Convergence Rate. CoRR abs/2010.13934 (2020)
2010 – 2019
- 2019
- [j29]Cheng Huang, Xiaoming Huo
A distributed one-step estimator. Math. Program. 174(1-2): 41-76 (2019) - [i2]Namjoon Suh, Xiaoming Huo, Eric Heim, Lee M. Seversky:
Factor Analysis on Citation, Using a Combined Latent and Logistic Regression Model. CoRR abs/1912.00524 (2019) - 2018
- [j28]Yuanyuan Zhang, Renfu Li
Stochastic leader-following consensus of multi-agent systems with measurement noises and communication time-delays. Neurocomputing 282: 136-145 (2018) - [j27]Yuanyuan Zhang, Renfu Li
Stochastic consensus of discrete-time second-order multi-agent systems with measurement noises and time delays. J. Frankl. Inst. 355(5): 2791-2807 (2018) - 2017
- [j26]Zhijun Fang
Emergent Techniques and Applications for Big Visual Data. Int. J. Digit. Multim. Broadcast. 2017: 6468502:1-6468502:2 (2017) - [j25]Xiaoming Huo, Gábor J. Székely
Clarifications for "Fast Computing for Distance Covariance" by Xiaoming Huo and Gábor J. Székely. Technometrics 59(1): 134-135 (2017) - 2016
- [j24]Xiaoming Huo, Gábor J. Székely
Fast Computing for Distance Covariance. Technometrics 58(4) (2016) - 2015
- [j23]Fang Wang, Renfu Li
Kernel fusion-refinement for semi-supervised nonlinear dimension reduction. Pattern Recognit. Lett. 63: 16-22 (2015) - [j22]Zhikun Lei, Renfu Li
High-dimensional semi-supervised learning via a fusion-refinement procedure. Signal Process. 114: 171-182 (2015) - [j21]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): 115-119 (2015) - [i1]Cheng Huang, Xiaoming Huo:
A Distributed One-Step Estimator. CoRR abs/1511.01443 (2015) - 2014
- [j20]Heeyoung Kim, Xiaoming Huo, Jianjun Shi
A single interval based classifier. Ann. Oper. Res. 216(1): 307-325 (2014) - [j19]Yuanyuan Zhang, Renfu Li
Stabilization of the stochastic jump diffusion systems by state-feedback control. J. Frankl. Inst. 351(3): 1596-1614 (2014) - [j18]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): 327-337 (2014) - [j17]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): 553-565 (2014) - 2013
- [j16]Heeyoung Kim, Xiaoming Huo:
Optimal sampling and curve interpolation via wavelets. Appl. Math. Lett. 26(7): 774-779 (2013) - [j15]Cheng-Liang Wang, Xiaoming Huo:
Object tracking under low signal-to-noise-ratio with the instantaneous-possible-moving-position model. Signal Process. 93(5): 1044-1055 (2013) - [j14]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): 124-136 (2013) - [c18]Jianzhou Feng, Li Song, Xiaoming Huo, Xiaokang Yang, Wenjun Zhang:
Image restoration via efficient Gaussian mixture model learning. ICIP 2013: 1056-1060 - [c17]Chengliang Wang, Xiaoming Huo, Wen-Zhan Song
Integer programming based approach for multiple-targets trajectory identification in WSNs. ICNSC 2013: 106-111 - [c16]Hongteng Xu, Dixin Luo, Xiaoming Huo, Xiaokang Yang:
World Expo Problem and Its Mixed Integer Programming Based Solution. BSI@PAKDD/BSIC@IJCAI 2013: 56-67 - 2012
- [j13]Yibiao Lu, Xiaoming Huo, Panagiotis Tsiotras:
A Beamlet-Based Graph Structure for Path Planning Using Multiscale Information. IEEE Trans. Autom. Control. 57(5): 1166-1178 (2012) - [c15]Debraj De, Wen-Zhan Song
FindingHuMo: Real-Time Tracking of Motion Trajectories from Anonymous Binary Sensing in Smart Environments. ICDCS 2012: 163-172 - [c14]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: 1-5 - 2011
- [j12]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): 1556-1570 (2011) - [c13]Jianzhou Feng, Li Song, Xiaoming Huo, Xiaokang Yang, Wenjun Zhang:
Learning sparse dictionaries with a popularity-based model. ICASSP 2011: 1441-1444 - [c12]Yibiao Lu, Xiaoming Huo, Oktay Arslan, Panagiotis Tsiotras:
Multi-scale LPA* with low worst-case complexity guarantees. IROS 2011: 3507-3512 - [c11]Oktay Arslan, Panagiotis Tsiotras, Xiaoming Huo:
Solving shortest path problems with curvature constraints using beamlets. IROS 2011: 3533-3538 - 2010
- [c10]Yibiao Lu, Xiaoming Huo, Panagiotis Tsiotras:
Beamlet-like data processing for accelerated path-planning using multiscale information of the environment. CDC 2010: 3808-3813 - [c9]Jianzhou Feng, Li Song, Xiaoming Huo, Xiaokang Yang, Wenjun Zhang:
Image denoising using local tangent space alignment. VCIP 2010: 774423
2000 – 2009
- 2009
- [j11]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): 223-233 (2009) - 2008
- [c8]Andrew Smith, Xiaoming Huo, Hongyuan Zha:
Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm. NIPS 2008: 1529-1536 - 2006
- [j10]Xiaoming Huo, Seoung Bum Kim, Kwok-Leung Tsui
FBP: A Frontier-Based Tree-Pruning Algorithm. INFORMS J. Comput. 18(4): 494-505 (2006) - [j9]Myong K. Jeong, Jye-Chyi Lu, Xiaoming Huo, Brani Vidakovic, Di Chen:
Wavelet-Based Data Reduction Techniques for Process Fault Detection. Technometrics 48(1): 26-40 (2006) - [j8]Jie Chen, Xiaoming Huo:
Theoretical Results on Sparse Representations of Multiple-Measurement Vectors. IEEE Trans. Signal Process. 54(12): 4634-4643 (2006) - 2005
- [j7]Xiaoming Huo:
Exact lower bound for proportion of maximally embedded beamlet. Appl. Math. Lett. 18(5): 529-534 (2005) - [j6]Xiaoming Huo, Jihong Chen:
JBEAM: multiscale curve coding via beamlets. IEEE Trans. Image Process. 14(11): 1665-1677 (2005) - [j5]Ery Arias-Castro, David L. Donoho, Xiaoming Huo:
Near-optimal detection of geometric objects by fast multiscale methods. IEEE Trans. Inf. Theory 51(7): 2402-2425 (2005) - [c7]Jie Chen, Xiaoming Huo:
Sparse representations for multiple measurement vectors (MMV) in an over-complete dictionary. ICASSP (4) 2005: 257-260 - 2004
- [j4]Xiaoming Huo, Jye-Chyi Lu:
A network flow approach in finding maximum likelihood estimate of high concentration regions. Comput. Stat. Data Anal. 46(1): 33-56 (2004) - [j3]David L. Donoho, Xiaoming Huo:
Beamlab and Reproducible Research. Int. J. Wavelets Multiresolution Inf. Process. 2(4): 391-414 (2004) - [j2]Xiaoming Huo:
A statistical analysis of Fukunaga-Koontz transform. IEEE Signal Process. Lett. 11(2): 123-126 (2004) - [c6]Xiaoming Huo, Jihong Chen, David L. Donoho:
JBEAM: Coding Lines and Curves via Digital Beamlets. Data Compression Conference 2004: 449-458 - [c5]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: 980-983 - 2002
- [c4]Xiaoming Huo, David L. Donoho:
Recovering filamentary objects in severely degraded binary images using beamlet-driven partitioning. ICASSP 2002: 1265-1268 - [c3]Jihong Chen, Xiaoming Huo:
Beamlet coder: A tree-based, hierarchical contour representation and coding method. ICASSP 2002: 4189 - 2001
- [j1]David L. Donoho, Xiaoming Huo:
Uncertainty principles and ideal atomic decomposition. IEEE Trans. Inf. Theory 47(7): 2845-2862 (2001)
1990 – 1999
- 1998
- [c2]Xiaoming Huo, David L. Donoho:
A simple and robust modulation classification method via counting. ICASSP 1998: 3289-3292 - [c1]Xiaoming Huo, Sam Liu:
Stochastic Behavior of Inter-Drop Time in an M Frame Buffer Video Decoding Scenario. ICIP (2) 1998: 356-359
Coauthor Index
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last updated on 2024-11-20 20:57 CET by the dblp team
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