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Huan Xu

61 papers · 2006–2025 · 12 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (27) 🐝 Cross-Pollinator (13) πŸƒ Academic Marathon (19) 🌍 Conference Polyglot (12) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌟 Keyword Trendsetter Combo (4) 🏠 Conference Loyalist (21) πŸ† Keyword Champion πŸ”¬ Deep Specialist (10) 🌱 Topic Pioneer 🀝 Dynamic Duo (13) πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (121) ⚑ Prolific Year (7) πŸ’Ž Century Club (61) πŸ”₯ Unstoppable (10)

Conferences

NIPS (21) ICML (16) AISTATS (6) JMLR (5) IJCAI (3) AAAI (2) CVPR (2) ICLR (2) COLT (1) EMNLP (1) ICCV (1) MICCAI (1)

Top co-authors

Shie Mannor (13) Yudong Chen (8) Shuicheng Yan (7) Wenzhuo Yang (6) Shiau Hong Lim (5) Chao Qu (5) Jiashi Feng (5) Constantine Caramanis (4) Sujay Sanghavi (3) Chenlei Leng (3)

Keywords

convex optimization (12) graph clustering (9) online learning (7) robust optimization (6) subspace clustering (5) stochastic optimization (5) robust principal component analysis (4) outlier detection (4) sparse subspace clustering (4) matrix decomposition (4) low-rank representation (4) markov decision process (4) stochastic block model (4) regret bound (4) reinforcement learning (3) matrix completion (3) sparse optimization (3) dimensionality reduction (3) matrix factorization (3) community detection (3)

Papers

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