Xiaoming Huo - RankMe

92 papers A* 6A 4B 4C 2Misc 4Journal 65Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On Excess Risk Convergence Rates of Neural Network Classifiers. IEEE Trans. Inf. Theory Hyunouk Ko, Namjoon Suh, Xiaoming Huo
2025	J	`jnl`	Bridging Unsupervised and Semi-Supervised Anomaly Detection: A Theoretically-Grounded and Practical Framework with Synthetic Anomalies. CoRR Matthew Lau, Tian-Yi Zhou, Xiangchi Yuan, Jizhou Chen, Wenke Lee, Xiaoming Huo
2025	J	`jnl`	Kernel-based Equalized Odds: A Quantification of Accuracy-Fairness Trade-off in Fair Representation Learning. CoRR Yijin Ni, Xiaoming Huo
2025	J	`jnl`	LLmFPCA-detect: LLM-powered Multivariate Functional PCA for Anomaly Detection in Sparse Longitudinal Texts. CoRR Prasanjit Dubey, Aritra Guha, Zhengyi Zhou, Qiong Wu, Xiaoming Huo, Paromita Dubey
2025	J	`jnl`	PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image Generation. CoRR Ziyan Wang, Sizhe Wei, Xiaoming Huo, Hao Wang
2025	J	`jnl`	Slow-Fast Policy Optimization: Reposition-Before-Update for LLM Reasoning. CoRR Ziyan Wang, Zheng Wang, Jie Fu, Xingwei Qu, Qi Cheng, Shengpu Tang, Minjia Zhang, Xiaoming Huo
2025	A*	`conf`	Towards Domain Adaptive Neural Contextual Bandits. ICLR Ziyan Wang, Xiaoming Huo, Hao Wang
2024	J	`jnl`	A Concentration Inequality for Maximum Mean Discrepancy (MMD)-based Statistics and Its Application in Generative Models. CoRR Yijin Ni, Xiaoming Huo
2024	J	`jnl`	Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning. J. Mach. Learn. Res. Yiling Xie, Xiaoming Huo
2024	J	`jnl`	Approximation of RKHS Functionals by Neural Networks. CoRR Tian-Yi Zhou, Namjoon Suh, Guang Cheng, Xiaoming Huo
2024	J	`jnl`	Asymptotic Behavior of Adversarial Training Estimator under 𝓁 CoRR Yiling Xie, Xiaoming Huo
2024	J	`jnl`	Classification of Data Generated by Gaussian Mixture Models Using Deep ReLU Networks. J. Mach. Learn. Res. Tian-Yi Zhou, Xiaoming Huo
2024	J	`jnl`	High-Dimensional Multivariate Linear Regression with Weighted Nuclear Norm Regularization. J. Comput. Graph. Stat. Namjoon Suh, Li-Hsiang Lin, Xiaoming Huo
2024	A*	`conf`	High-dimensional (Group) Adversarial Training in Linear Regression. NeurIPS Yiling Xie, Xiaoming Huo
2024	J	`jnl`	Optimal Classification-based Anomaly Detection with Neural Networks: Theory and Practice. CoRR Tian-Yi Zhou, Matthew Lau, Jizhou Chen, Wenke Lee, Xiaoming Huo
2024	A*	`conf`	Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classes. ICML Hyunouk Ko, Xiaoming Huo
2024	J	`jnl`	Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classes. CoRR Hyunouk Ko, Xiaoming Huo
2023	J	`jnl`	Accelerate the warm-up stage in the Lasso computation via a homotopic approach. Comput. Stat. Data Anal. Yujie Zhao, Xiaoming Huo
2023	J	`jnl`	Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning. CoRR Yiling Xie, Xiaoming Huo
2023	A*	`conf`	Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks. ICLR Namjoon Suh, Tian-Yi Zhou, Xiaoming Huo
2023	J	`jnl`	Classification of Data Generated by Gaussian Mixture Models Using Deep ReLU Networks. CoRR Tian-Yi Zhou, Xiaoming Huo
2023	A*	`conf`	Conformalization of Sparse Generalized Linear Models. ICML Etash Kumar Guha, Eugène Ndiaye, Xiaoming Huo
2023	J	`jnl`	Conformalization of Sparse Generalized Linear Models. CoRR Etash Kumar Guha, Eugène Ndiaye, Xiaoming Huo
2023	J	`jnl`	Generalization Bounds for Magnitude-Based Pruning via Sparse Matrix Sketching. CoRR Etash Kumar Guha, Prasanjit Dubey, Xiaoming Huo
2023	A	`conf`	Improved Rate of First Order Algorithms for Entropic Optimal Transport. AISTATS Yiling Luo, Yiling Xie, Xiaoming Huo
2023	J	`jnl`	On Excess Risk Convergence Rates of Neural Network Classifiers. CoRR Hyunouk Ko, Namjoon Suh, Xiaoming Huo
2023	J	`jnl`	Solving a Special Type of Optimal Transport Problem by a Modified Hungarian Algorithm. Trans. Mach. Learn. Res. Yiling Xie, Yiling Luo, Xiaoming Huo
2022	J	`jnl`	A New Sparse-Learning Model for Maximum Gap Reduction of Composite Fuselage Assembly. Technometrics Juan Du, Shanshan Cao, Jeffrey H. Hunt, Xiaoming Huo, Jianjun Shi
2022	A*	`conf`	A Non-Parametric Regression Viewpoint : Generalization of Overparametrized Deep RELU Network Under Noisy Observations. ICLR Namjoon Suh, Hyunouk Ko, Xiaoming Huo
2022	J	`jnl`	An Accelerated Stochastic Algorithm for Solving the Optimal Transport Problem. CoRR Yiling Xie, Yiling Luo, Xiaoming Huo
2022	J	`jnl`	Asymptotic Theory of \(\boldsymbol \ell _1\) -Regularized PDE Identification from a Single Noisy Trajectory. SIAM/ASA J. Uncertain. Quantification Yuchen He, Namjoon Suh, Xiaoming Huo, Sung Ha Kang, Yajun Mei
2022	J	`jnl`	Covariance Estimators for the ROOT-SGD Algorithm in Online Learning. CoRR Yiling Luo, Xiaoming Huo, Yajun Mei
2022	B	`conf`	Implicit Regularization Properties of Variance Reduced Stochastic Mirror Descent. ISIT Yiling Luo, Xiaoming Huo, Yajun Mei
2022	J	`jnl`	Implicit Regularization Properties of Variance Reduced Stochastic Mirror Descent. CoRR Yiling Luo, Xiaoming Huo, Yajun Mei
2022	J	`jnl`	Learning Ability of Interpolating Convolutional Neural Networks. CoRR Tian-Yi Zhou, Xiaoming Huo
2022	B	`conf`	The Directional Bias Helps Stochastic Gradient Descent to Generalize in Kernel Regression Models. ISIT Yiling Luo, Xiaoming Huo, Yajun Mei
2022	J	`jnl`	The Directional Bias Helps Stochastic Gradient Descent to Generalize in Kernel Regression Models. CoRR Yiling Luo, Xiaoming Huo, Yajun Mei
2021	J	`jnl`	A Statistically and Numerically Efficient Independence Test Based on Random Projections and Distance Covariance. Frontiers Appl. Math. Stat. Cheng Huang, Xiaoming Huo
2021	J	`jnl`	A network model that combines latent factors and sparse graphs. Stat. Anal. Data Min. Namjoon Suh, Xiaoming Huo, Eric Heim, Lee M. Seversky
2021	J	`jnl`	Asymptotic Convergence Rates of the Length of the Longest Run(s) in an Inflating Bernoulli Net. IEEE Trans. Inf. Theory Kai Ni, Shanshan Cao, Xiaoming Huo
2021	J	`jnl`	Asymptotic Theory of 𝓁 CoRR Yuchen He, Namjoon Suh, Xiaoming Huo, Sung Ha Kang, Yajun Mei
2021	J	`jnl`	Editorial: Mathematical Fundamentals of Machine Learning. Frontiers Appl. Math. Stat. David Glickenstein, Keaton Hamm, Xiaoming Huo, Yajun Mei, Martin Stoll
2020	J	`jnl`	A Homotopic Method to Solve the Lasso Problems with an Improved Upper Bound of Convergence Rate. CoRR Yujie Zhao, Xiaoming Huo
2019	J	`jnl`	A distributed one-step estimator. Math. Program. Cheng Huang, Xiaoming Huo
2019	J	`jnl`	Factor Analysis on Citation, Using a Combined Latent and Logistic Regression Model. CoRR Namjoon Suh, Xiaoming Huo, Eric Heim, Lee M. Seversky
2018	J	`jnl`	Stochastic consensus of discrete-time second-order multi-agent systems with measurement noises and time delays. J. Frankl. Inst. Yuanyuan Zhang, Renfu Li, Xiaoming Huo
2018	J	`jnl`	Stochastic leader-following consensus of multi-agent systems with measurement noises and communication time-delays. Neurocomputing Yuanyuan Zhang, Renfu Li, Wei Zhao, Xiaoming Huo
2017	J	`jnl`	Clarifications for "Fast Computing for Distance Covariance" by Xiaoming Huo and Gábor J. Székely. Technometrics Xiaoming Huo, Gábor J. Székely
2017	J	`jnl`	Emergent Techniques and Applications for Big Visual Data. Int. J. Digit. Multim. Broadcast. Zhijun Fang, Jenq-Neng Hwang, Xiaoming Huo, Hyo Jong Lee, Joachim Denzler
2016	J	`jnl`	Fast Computing for Distance Covariance. Technometrics Xiaoming Huo, Gábor J. Székely
2015	J	`jnl`	A Distributed One-Step Estimator. CoRR Cheng Huang, Xiaoming Huo
2015	J	`jnl`	An Optimized Pixel-Wise Weighting Approach for Patch-Based Image Denoising. IEEE Signal Process. Lett. Jianzhou Feng, Li Song, Xiaoming Huo, Xiaokang Yang, Wenjun Zhang
2015	J	`jnl`	High-dimensional semi-supervised learning via a fusion-refinement procedure. Signal Process. Zhikun Lei, Renfu Li, Xuelei Sherry Ni, Xiaoming Huo
2015	J	`jnl`	Kernel fusion-refinement for semi-supervised nonlinear dimension reduction. Pattern Recognit. Lett. Fang Wang, Renfu Li, Zhikun Lei, Xuelei Sherry Ni, Xiaoming Huo, Ming Chen
2014	J	`jnl`	A Lipschitz Regularity-Based Statistical Model With Applications in Coordinate Metrology. IEEE Trans Autom. Sci. Eng. Heeyoung Kim, Xiaoming Huo, Meghan Shilling, Hy D. Tran
2014	J	`jnl`	A single interval based classifier. Ann. Oper. Res. Heeyoung Kim, Xiaoming Huo, Jianjun Shi
2014	J	`jnl`	Evaluation of Different Algorithms of Nonnegative Matrix Factorization in Temporal Psychovisual Modulation. IEEE Trans. Circuits Syst. Video Technol. Jianzhou Feng, Xiaoming Huo, Li Song, Xiaokang Yang, Wenjun Zhang
2014	J	`jnl`	Stabilization of the stochastic jump diffusion systems by state-feedback control. J. Frankl. Inst. Yuanyuan Zhang, Renfu Li, Dinggen Li, Yang Hu, Xiaoming Huo
2013	J	`jnl`	Fault Diagnosis Using an Enhanced Relevance Vector Machine (RVM) for Partially Diagnosable Multistation Assembly Processes. IEEE Trans Autom. Sci. Eng. Kaveh Bastani, Zhenyu James Kong, Wenzhen Huang, Xiaoming Huo, Yingqing Zhou
2013	B	`conf`	Image restoration via efficient Gaussian mixture model learning. ICIP Jianzhou Feng, Li Song, Xiaoming Huo, Xiaokang Yang, Wenjun Zhang
2013	—	`conf`	Integer programming based approach for multiple-targets trajectory identification in WSNs. ICNSC Chengliang Wang, Xiaoming Huo, Wen-Zhan Song
2013	J	`jnl`	Object tracking under low signal-to-noise-ratio with the instantaneous-possible-moving-position model. Signal Process. Cheng-Liang Wang, Xiaoming Huo
2013	J	`jnl`	Optimal sampling and curve interpolation via wavelets. Appl. Math. Lett. Heeyoung Kim, Xiaoming Huo
2013	—	`conf`	World Expo Problem and Its Mixed Integer Programming Based Solution. BSI@PAKDD/BSIC@IJCAI Hongteng Xu, Dixin Luo, Xiaoming Huo, Xiaokang Yang
2012	J	`jnl`	A Beamlet-Based Graph Structure for Path Planning Using Multiscale Information. IEEE Trans. Autom. Control. Yibiao Lu, Xiaoming Huo, Panagiotis Tsiotras
2012	A	`conf`	FindingHuMo: Real-Time Tracking of Motion Trajectories from Anonymous Binary Sensing in Smart Environments. ICDCS Debraj De, Wen-Zhan Song, Mingsen Xu, Chengliang Wang, Diane J. Cook, Xiaoming Huo
2012	C	`conf`	New bounds on image denoising: Viewpoint of sparse representation and non-local averaging. VCIP Jianzhou Feng, Li Song, Xiaoming Huo, Xiaokang Yang, Wenjun Zhang
2011	J	`jnl`	Incremental Multi-Scale Search Algorithm for Dynamic Path Planning With Low Worst-Case Complexity. IEEE Trans. Syst. Man Cybern. Part B Yibiao Lu, Xiaoming Huo, Oktay Arslan, Panagiotis Tsiotras
2011	Misc	`conf`	Learning sparse dictionaries with a popularity-based model. ICASSP Jianzhou Feng, Li Song, Xiaoming Huo, Xiaokang Yang, Wenjun Zhang
2011	A	`conf`	Multi-scale LPA* with low worst-case complexity guarantees. IROS Yibiao Lu, Xiaoming Huo, Oktay Arslan, Panagiotis Tsiotras
2011	A	`conf`	Solving shortest path problems with curvature constraints using beamlets. IROS Oktay Arslan, Panagiotis Tsiotras, Xiaoming Huo
2010	—	`conf`	Beamlet-like data processing for accelerated path-planning using multiscale information of the environment. CDC Yibiao Lu, Xiaoming Huo, Panagiotis Tsiotras
2010	C	`conf`	Image denoising using local tangent space alignment. VCIP Jianzhou Feng, Li Song, Xiaoming Huo, Xiaokang Yang, Wenjun Zhang
2009	J	`jnl`	A finite-sample simulation study of cross validation in tree-based models. Inf. Technol. Manag. Seoung Bum Kim, Xiaoming Huo, Kwok-Leung Tsui
2008	—	`conf`	Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm. NIPS Andrew Smith, Xiaoming Huo, Hongyuan Zha
2006	J	`jnl`	FBP: A Frontier-Based Tree-Pruning Algorithm. INFORMS J. Comput. Xiaoming Huo, Seoung Bum Kim, Kwok-Leung Tsui, Shuchun Wang
2006	J	`jnl`	Theoretical Results on Sparse Representations of Multiple-Measurement Vectors. IEEE Trans. Signal Process. Jie Chen, Xiaoming Huo
2006	J	`jnl`	Wavelet-Based Data Reduction Techniques for Process Fault Detection. Technometrics Myong K. Jeong, Jye-Chyi Lu, Xiaoming Huo, Brani Vidakovic, Di Chen
2005	J	`jnl`	Exact lower bound for proportion of maximally embedded beamlet. Appl. Math. Lett. Xiaoming Huo
2005	J	`jnl`	JBEAM: multiscale curve coding via beamlets. IEEE Trans. Image Process. Xiaoming Huo, Jihong Chen
2005	J	`jnl`	Near-optimal detection of geometric objects by fast multiscale methods. IEEE Trans. Inf. Theory Ery Arias-Castro, David L. Donoho, Xiaoming Huo
2005	—	`conf`	Sparse representations for multiple measurement vectors (MMV) in an over-complete dictionary. ICASSP (4) Jie Chen, Xiaoming Huo
2004	J	`jnl`	A network flow approach in finding maximum likelihood estimate of high concentration regions. Comput. Stat. Data Anal. Xiaoming Huo, Jye-Chyi Lu
2004	J	`jnl`	A statistical analysis of Fukunaga-Koontz transform. IEEE Signal Process. Lett. Xiaoming Huo
2004	J	`jnl`	Beamlab and Reproducible Research. Int. J. Wavelets Multiresolution Inf. Process. David L. Donoho, Xiaoming Huo
2004	—	`conf`	Detecting the presence of an inhomogeneous region in a homogeneous background: taking advantages of the underlying geometry via manifolds. ICASSP (3) Xiaoming Huo, Jihong Chen
2004	B	`conf`	JBEAM: Coding Lines and Curves via Digital Beamlets. Data Compression Conference Xiaoming Huo, Jihong Chen, David L. Donoho
2002	Misc	`conf`	Beamlet coder: A tree-based, hierarchical contour representation and coding method. ICASSP Jihong Chen, Xiaoming Huo
2002	Misc	`conf`	Recovering filamentary objects in severely degraded binary images using beamlet-driven partitioning. ICASSP Xiaoming Huo, David L. Donoho
2001	J	`jnl`	Uncertainty principles and ideal atomic decomposition. IEEE Trans. Inf. Theory David L. Donoho, Xiaoming Huo
1998	Misc	`conf`	A simple and robust modulation classification method via counting. ICASSP Xiaoming Huo, David L. Donoho
1998	—	`conf`	Stochastic Behavior of Inter-Drop Time in an M Frame Buffer Video Decoding Scenario. ICIP (2) Xiaoming Huo, Sam Liu