Huan Xu

OuroMamba: A Data-Free Quantization Framework for Vision Mamba ICCV 2025 From Schema to State: Zero-Shot Scheme-Only Dialogue State Tracking via Diverse Synthetic Dialogue and Step-by-Step Distillation EMNLP 2025 Transforming Surgical Interventions with Embodied Intelligence for Ultrasound Robotics MICCAI 2024 AutoBandit: A Meta Bandit Online Learning System IJCAI 2021 Time Series Data Augmentation for Deep Learning: A Survey IJCAI 2021 A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments AAAI 2021 Implicit Bias of Gradient Descent based Adversarial Training on Separable Data ICLR 2020 Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning NIPS 2019 Large Scale Markov Decision Processes with Changing Rewards NIPS 2019 Risk-Averse Stochastic Convex Bandit AISTATS 2019 Nonlinear Distributional Gradient Temporal-Difference Learning ICML 2019 Competing Against Nash Equilibria in Adversarially Changing Zero-Sum Games ICML 2019 Efficient Meta Learning via Minibatch Proximal Update NIPS 2019 RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series AAAI 2019 Non-convex Conditional Gradient Sliding ICML 2018 Learning Deep Mean Field Games for Modeling Large Population Behavior ICLR 2018 Nearly second-order optimality of online joint detection and estimation via one-sample update schemes AISTATS 2018 Robust Hypothesis Testing Using Wasserstein Uncertainty Sets NIPS 2018 Reinforcement Learning under Model Mismatch NIPS 2017 Representativeness-aware Aspect Analysis for Brand Monitoring in Social Media IJCAI 2017 Ignoring Is a Bliss: Learning with Large Noise Through Reweighting-Minimization COLT 2017 Online Nonnegative Matrix Factorization with General Divergences AISTATS 2017 Fake News Mitigation via Point Process Based Intervention ICML 2017 Clustering from General Pairwise Observations with Applications to Time-varying Graphs JMLR 2017 Noisy Sparse Subspace Clustering JMLR 2016 Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit ICML 2016 Fast Rate Analysis of Some Stochastic Optimization Algorithms ICML 2016 Adaptive Maximization of Pointwise Submodular Functions With Budget Constraint NIPS 2016 Online Collaborative Learning for Open-Vocabulary Visual Classifiers CVPR 2016 Subspace Clustering with Irrelevant Features via Robust Dantzig Selector NIPS 2015 Streaming Sparse Principal Component Analysis ICML 2015 Iterative and Active Graph Clustering Using Trace Norm Minimization Without Cluster Size Constraints JMLR 2015 A Convex Optimization Framework for Bi-Clustering ICML 2015 A Divide and Conquer Framework for Distributed Graph Clustering ICML 2015 A Unified Framework for Outlier-Robust PCA-like Algorithms ICML 2015 Online Optimization for Max-Norm Regularization NIPS 2014 Scaling Up Robust MDPs using Function Approximation ICML 2014 Weighted Graph Clustering with Non-Uniform Uncertainties ICML 2014 Clustering Partially Observed Graphs via Convex Optimization JMLR 2014 Robust Subspace Segmentation with Block-diagonal Prior CVPR 2014 The Coherent Loss Function for Classification ICML 2014 Clustering from Labels and Time-Varying Graphs NIPS 2014 Robust Logistic Regression and Classification NIPS 2014 Convex Optimization Procedure for Clustering: Theoretical Revisit NIPS 2014 A Unified Robust Regression Model for Lasso-like Algorithms ICML 2013 Reinforcement Learning in Robust Markov Decision Processes NIPS 2013 Online Robust PCA via Stochastic Optimization NIPS 2013 Online PCA for Contaminated Data NIPS 2013 Learning Multiple Models via Regularized Weighting NIPS 2013 Provable Subspace Clustering: When LRR meets SSC NIPS 2013 Noisy Sparse Subspace Clustering ICML 2013 Breaking the Small Cluster Barrier of Graph Clustering ICML 2013 Robust Multi-task Regression with Grossly Corrupted Observations AISTATS 2012 Statistical Optimization in High Dimensions AISTATS 2012 Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation AISTATS 2012 Clustering Sparse Graphs NIPS 2012 Robust PCA via Outlier Pursuit NIPS 2010 Distributionally Robust Markov Decision Processes NIPS 2010 Robustness and Regularization of Support Vector Machines JMLR 2009 Robust Regression and Lasso NIPS 2008 The Robustness-Performance Tradeoff in Markov Decision Processes NIPS 2006