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Xiaoming Huo
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Publications
- 2024
- [i16]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) - [i15]Yiling Xie, Xiaoming Huo:
Asymptotic Behavior of Adversarial Training Estimator under 𝓁∞-Perturbation. CoRR abs/2401.15262 (2024) - 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 - [i14]Yiling Xie, Xiaoming Huo:
Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning. CoRR abs/2303.15579 (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, 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): 1012-1036 (2022) - [j34]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): 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, Keaton Hamm, Xiaoming Huo, Yajun Mei, Martin Stoll:
Editorial: Mathematical Fundamentals of Machine Learning. Frontiers Appl. Math. Stat. 7: 674785 (2021) - [j31]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): 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) - 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, Wei Zhao, Xiaoming Huo:
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, Xiaoming Huo:
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, Jenq-Neng Hwang, Xiaoming Huo, Hyo Jong Lee, Joachim Denzler:
Emergent Techniques and Applications for Big Visual Data. Int. J. Digit. Multim. Broadcast. 2017: 6468502:1-6468502:2 (2017) - 2015
- [j23]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: 16-22 (2015) - [j22]Zhikun Lei, Renfu Li, Xuelei Sherry Ni, Xiaoming Huo:
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) - 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, Dinggen Li, Yang Hu, Xiaoming Huo:
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) - [c18]Jianzhou Feng, Li Song, Xiaoming Huo, Xiaokang Yang, Wenjun Zhang:
Image restoration via efficient Gaussian mixture model learning. ICIP 2013: 1056-1060 - [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
- [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
- [c13]Jianzhou Feng, Li Song, Xiaoming Huo, Xiaokang Yang, Wenjun Zhang:
Learning sparse dictionaries with a popularity-based model. ICASSP 2011: 1441-1444 - 2010
- [c9]Jianzhou Feng, Li Song, Xiaoming Huo, Xiaokang Yang, Wenjun Zhang:
Image denoising using local tangent space alignment. VCIP 2010: 774423 - 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, Shuchun Wang:
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) - 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) - 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) - [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) - 1998
- [c2]Xiaoming Huo, David L. Donoho:
A simple and robust modulation classification method via counting. ICASSP 1998: 3289-3292
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last updated on 2024-02-09 20:35 CET by the dblp team
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