Huan Xu - RankMe

111 papers A* 25A 3B 1Journal 58Unranked 24

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	The Online Saddle Point Problem and Online Convex Optimization with Knapsacks. Math. Oper. Res. Adrian Rivera Cardoso, He Wang, Huan Xu
2022	J	`jnl`	Bayesian active learning with abstention feedbacks. Neurocomputing Cuong V. Nguyen, Lam Si Tung Ho, Huan Xu, Vu C. Dinh, Binh T. Nguyen
2021	—	`conf`	RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection. SIGMOD Conference Qingsong Wen, Kai He, Liang Sun, Yingying Zhang, Min Ke, Huan Xu
2021	A*	`conf`	Time Series Data Augmentation for Deep Learning: A Survey. IJCAI Qingsong Wen, Liang Sun, Fan Yang, Xiaomin Song, Jingkun Gao, Xue Wang, Huan Xu
2021	A	`conf`	Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks. CIKM Kuangqi Zhou, Yanfei Dong, Kaixin Wang, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng
2020	J	`jnl`	Effective Training Strategies for Deep Graph Neural Networks. CoRR Kuangqi Zhou, Yanfei Dong, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng
2020	J	`jnl`	Goal scoring, coherent loss and applications to machine learning. Math. Program. Wenzhuo Yang, Melvyn Sim, Huan Xu
2020	J	`jnl`	Mitigating Interdiction Risk with Fortification. Oper. Res. Le Thi Khanh Hien, Melvyn Sim, Huan Xu
2020	J	`jnl`	RobustPeriod: Time-Frequency Mining for Robust Multiple Periodicities Detection. CoRR Qingsong Wen, Kai He, Liang Sun, Yingying Zhang, Min Ke, Huan Xu
2020	J	`jnl`	RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks. CoRR Jingkun Gao, Xiaomin Song, Qingsong Wen, Pichao Wang, Liang Sun, Huan Xu
2020	J	`jnl`	Time Series Data Augmentation for Deep Learning: A Survey. CoRR Qingsong Wen, Liang Sun, Xiaomin Song, Jingkun Gao, Xue Wang, Huan Xu
2019	J	`jnl`	Accelerated Randomized Mirror Descent Algorithms for Composite Non-strongly Convex Optimization. J. Optim. Theory Appl. Le Thi Khanh Hien, Cuong V. Nguyen, Huan Xu, Canyi Lu, Jiashi Feng
2019	J	`jnl`	Bayesian Active Learning With Abstention Feedbacks. CoRR Cuong V. Nguyen, Lam Si Tung Ho, Huan Xu, Vu C. Dinh, Binh T. Nguyen
2019	J	`jnl`	Distributionally Robust Optimization with Infinitely Constrained Ambiguity Sets. Oper. Res. Zhi Chen, Melvyn Sim, Huan Xu
2019	A*	`conf`	Efficient Meta Learning via Minibatch Proximal Update. NeurIPS Pan Zhou, Xiaotong Yuan, Huan Xu, Shuicheng Yan, Jiashi Feng
2019	A*	`conf`	Nonlinear Distributional Gradient Temporal-Difference Learning. ICML Chao Qu, Shie Mannor, Huan Xu
2019	A*	`conf`	RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series. AAAI Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu, Shenghuo Zhu
2019	A*	`conf`	Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. NeurIPS Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong
2019	J	`jnl`	Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. CoRR Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong
2018	J	`jnl`	Approximate Value Iteration for Risk-Aware Markov Decision Processes. IEEE Trans. Autom. Control. Pengqian Yu, William B. Haskell, Huan Xu
2018	J	`jnl`	Communication-Efficient Projection-Free Algorithm for Distributed Optimization. CoRR Yan Li, Chao Qu, Huan Xu
2018	—	`conf`	Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms. ICLR (Workshop) Tom Zahavy, Bingyi Kang, Alex Sivak, Jiashi Feng, Huan Xu, Shie Mannor
2018	J	`jnl`	Fast Global Convergence via Landscape of Empirical Loss. CoRR Chao Qu, Yan Li, Huan Xu
2018	A*	`conf`	Non-convex Conditional Gradient Sliding. ICML Chao Qu, Yan Li, Huan Xu
2018	J	`jnl`	Nonlinear Distributional Gradient Temporal-Difference Learning. CoRR Chao Qu, Shie Mannor, Huan Xu
2018	J	`jnl`	Projection-Free Algorithms in Statistical Estimation. CoRR Yan Li, Chao Qu, Huan Xu
2018	J	`jnl`	RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series. CoRR Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu, Shenghuo Zhu
2017	J	`jnl`	Approximate Value Iteration for Risk-aware Markov Decision Processes. CoRR Pengqian Yu, William B. Haskell, Huan Xu
2017	J	`jnl`	Clustering from General Pairwise Observations with Applications to Time-varying Graphs. J. Mach. Learn. Res. Shiau Hong Lim, Yudong Chen, Huan Xu
2017	—	`conf`	Dynamic programming for risk-aware sequential optimization. CDC Pengqian Yu, William B. Haskell, Huan Xu
2017	A*	`conf`	Ignoring Is a Bliss: Learning with Large Noise Through Reweighting-Minimization. COLT Daniel Vainsencher, Shie Mannor, Huan Xu
2017	J	`jnl`	Linear convergence of SDCA in statistical estimation. CoRR Chao Qu, Huan Xu
2017	J	`jnl`	Outlier Robust Online Learning. CoRR Jiashi Feng, Huan Xu, Shie Mannor
2017	A*	`conf`	Representativeness-aware Aspect Analysis for Brand Monitoring in Social Media. IJCAI Lizi Liao, Xiangnan He, Zhaochun Ren, Liqiang Nie, Huan Xu, Tat-Seng Chua
2016	J	`jnl`	A Deterministic Analysis for LRR. IEEE Trans. Pattern Anal. Mach. Intell. Guangcan Liu, Huan Xu, Jinhui Tang, Qingshan Liu, Shuicheng Yan
2016	J	`jnl`	Distributionally robust chance constraints for non-linear uncertainties. Math. Program. Wenzhuo Yang, Huan Xu
2016	J	`jnl`	Ensemble Robustness of Deep Learning Algorithms. CoRR Jiashi Feng, Tom Zahavy, Bingyi Kang, Huan Xu, Shie Mannor
2016	A*	`conf`	Fast Rate Analysis of Some Stochastic Optimization Algorithms. ICML Chao Qu, Huan Xu, Chong Jin Ong
2016	J	`jnl`	Linear Convergence of SVRG in Statistical Estimation. CoRR Chao Qu, Huan Xu
2016	J	`jnl`	Matrix Completion With Column Manipulation: Near-Optimal Sample-Robustness-Rank Tradeoffs. IEEE Trans. Inf. Theory Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi
2016	J	`jnl`	Maximize Pointwise Cost-sensitively Submodular Functions With Budget Constraint. CoRR Nguyen Viet Cuong, Huan Xu
2016	A*	`conf`	Online Collaborative Learning for Open-Vocabulary Visual Classifiers. CVPR Hanwang Zhang, Xindi Shang, Wenzhuo Yang, Huan Xu, Huan-Bo Luan, Tat-Seng Chua
2016	J	`jnl`	Reinforcement Learning in Robust Markov Decision Processes. Math. Oper. Res. Shiau Hong Lim, Huan Xu, Shie Mannor
2016	J	`jnl`	Robust MDPs with Math. Oper. Res. Shie Mannor, Ofir Mebel, Huan Xu
2016	J	`jnl`	Statistical Optimization in High Dimensions. Oper. Res. Huan Xu, Constantine Caramanis, Shie Mannor
2015	A*	`conf`	A Convex Optimization Framework for Bi-Clustering. ICML Shiau Hong Lim, Yudong Chen, Huan Xu
2015	A*	`conf`	A Divide and Conquer Framework for Distributed Graph Clustering. ICML Wenzhuo Yang, Huan Xu
2015	A*	`conf`	A Unified Framework for Outlier-Robust PCA-like Algorithms. ICML Wenzhuo Yang, Huan Xu
2015	J	`jnl`	Iterative and active graph clustering using trace norm minimization without cluster size constraints. J. Mach. Learn. Res. Nir Ailon, Yudong Chen, Huan Xu
2015	A*	`conf`	Streaming Sparse Principal Component Analysis. ICML Wenzhuo Yang, Huan Xu
2015	—	`conf`	Subspace Clustering with Irrelevant Features via Robust Dantzig Selector. NIPS Chao Qu, Huan Xu
2014	J	`jnl`	Autogrouped Sparse Representation for Visual Analysis. IEEE Trans. Image Process. Jiashi Feng, Xiao-Tong Yuan, Zilei Wang, Huan Xu, Shuicheng Yan
2014	—	`conf`	Clustering from Labels and Time-Varying Graphs. NIPS Shiau Hong Lim, Yudong Chen, Huan Xu
2014	J	`jnl`	Clustering partially observed graphs via convex optimization. J. Mach. Learn. Res. Yudong Chen, Ali Jalali, Sujay Sanghavi, Huan Xu
2014	—	`conf`	Convex Optimization Procedure for Clustering: Theoretical Revisit. NIPS Changbo Zhu, Huan Xu, Chenlei Leng, Shuicheng Yan
2014	J	`jnl`	Distributed Robust Learning. CoRR Jiashi Feng, Huan Xu, Shie Mannor
2014	J	`jnl`	Improved Graph Clustering. IEEE Trans. Inf. Theory Yudong Chen, Sujay Sanghavi, Huan Xu
2014	—	`conf`	Robust Logistic Regression and Classification. NIPS Jiashi Feng, Huan Xu, Shie Mannor, Shuicheng Yan
2014	A*	`conf`	Robust Subspace Segmentation with Block-Diagonal Prior. CVPR Jiashi Feng, Zhouchen Lin, Huan Xu, Shuicheng Yan
2014	A*	`conf`	Scaling Up Robust MDPs using Function Approximation. ICML Aviv Tamar, Shie Mannor, Huan Xu
2014	A*	`conf`	The Coherent Loss Function for Classification. ICML Wenzhuo Yang, Melvyn Sim, Huan Xu
2014	A*	`conf`	Weighted Graph Clustering with Non-Uniform Uncertainties. ICML Yudong Chen, Shiau Hong Lim, Huan Xu
2013	—	`conf`	A Unified Robust Regression Model for Lasso-like Algorithms. ICML (3) Wenzhuo Yang, Huan Xu
2013	J	`jnl`	Breaking the Small Cluster Barrier of Graph Clustering CoRR Nir Ailon, Yudong Chen, Huan Xu
2013	—	`conf`	Breaking the Small Cluster Barrier of Graph Clustering. ICML (3) Nir Ailon, Yudong Chen, Huan Xu
2013	—	`conf`	Learning Multiple Models via Regularized Weighting. NIPS Daniel Vainsencher, Shie Mannor, Huan Xu
2013	—	`conf`	Online PCA for Contaminated Data. NIPS Jiashi Feng, Huan Xu, Shie Mannor, Shuicheng Yan
2013	—	`conf`	Online Robust PCA via Stochastic Optimization. NIPS Jiashi Feng, Huan Xu, Shuicheng Yan
2013	J	`jnl`	Outlier-Robust PCA: The High-Dimensional Case. IEEE Trans. Inf. Theory Huan Xu, Constantine Caramanis, Shie Mannor
2013	—	`conf`	Reinforcement Learning in Robust Markov Decision Processes. NIPS Shiau Hong Lim, Huan Xu, Shie Mannor
2013	J	`jnl`	Scaling Up Robust MDPs by Reinforcement Learning. CoRR Aviv Tamar, Huan Xu, Shie Mannor
2012	J	`jnl`	A Distributional Interpretation of Robust Optimization. Math. Oper. Res. Huan Xu, Constantine Caramanis, Shie Mannor
2012	—	`conf`	Auto-Grouped Sparse Representation for Visual Analysis. ECCV (1) Jiashi Feng, Xiaotong Yuan, Zilei Wang, Huan Xu, Shuicheng Yan
2012	—	`conf`	Clustering Sparse Graphs. NIPS Yudong Chen, Sujay Sanghavi, Huan Xu
2012	J	`jnl`	Distributionally Robust Markov Decision Processes. Math. Oper. Res. Huan Xu, Shie Mannor
2012	A	`conf`	Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation. AISTATS Guangcan Liu, Huan Xu, Shuicheng Yan
2012	J	`jnl`	Lightning Does Not Strike Twice: Robust MDPs with Coupled Uncertainty CoRR Shie Mannor, Ofir Mebel, Huan Xu
2012	A*	`conf`	Lightning Does Not Strike Twice: Robust MDPs with Coupled Uncertainty. ICML Shie Mannor, Ofir Mebel, Huan Xu
2012	J	`jnl`	Optimization Under Probabilistic Envelope Constraints. Oper. Res. Huan Xu, Constantine Caramanis, Shie Mannor
2012	J	`jnl`	Robust PCA in High-dimension: A Deterministic Approach CoRR Jiashi Feng, Huan Xu, Shuicheng Yan
2012	A*	`conf`	Robust PCA in High-dimension: A Deterministic Approach. ICML Jiashi Feng, Huan Xu, Shuicheng Yan
2012	J	`jnl`	Robust PCA via Outlier Pursuit. IEEE Trans. Inf. Theory Huan Xu, Constantine Caramanis, Sujay Sanghavi
2012	J	`jnl`	Robustness and generalization. Mach. Learn. Huan Xu, Shie Mannor
2012	J	`jnl`	Sparse Algorithms Are Not Stable: A No-Free-Lunch Theorem. IEEE Trans. Pattern Anal. Mach. Intell. Huan Xu, Constantine Caramanis, Shie Mannor
2012	A	`conf`	Statistical Optimization in High Dimensions. AISTATS Huan Xu, Constantine Caramanis, Shie Mannor
2011	J	`jnl`	Clustering Partially Observed Graphs via Convex Optimization CoRR Ali Jalali, Yudong Chen, Sujay Sanghavi, Huan Xu
2011	A*	`conf`	Clustering Partially Observed Graphs via Convex Optimization. ICML Ali Jalali, Yudong Chen, Sujay Sanghavi, Huan Xu
2011	J	`jnl`	Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation CoRR Guangcan Liu, Huan Xu, Shuicheng Yan
2011	A*	`conf`	Probabilistic Goal Markov Decision Processes. IJCAI Huan Xu, Shie Mannor
2011	A*	`conf`	Robust Matrix Completion and Corrupted Columns. ICML Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi
2011	J	`jnl`	Robust Matrix Completion with Corrupted Columns CoRR Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi
2010	—	`conf`	A distributional interpretation of robust optimization. Allerton Huan Xu, Constantine Caramanis, Shie Mannor
2010	—	`conf`	Distributionally Robust Markov Decision Processes. NIPS Huan Xu, Shie Mannor
2010	A*	`conf`	Principal Component Analysis with Contaminated Data: The High Dimensional Case. COLT Huan Xu, Constantine Caramanis, Shie Mannor
2010	J	`jnl`	Principal Component Analysis with Contaminated Data: The High Dimensional Case. CoRR Huan Xu, Constantine Caramanis, Shie Mannor
2010	J	`jnl`	Robust PCA via Outlier Pursuit CoRR Huan Xu, Constantine Caramanis, Sujay Sanghavi
2010	—	`conf`	Robust PCA via Outlier Pursuit. NIPS Huan Xu, Constantine Caramanis, Sujay Sanghavi
2010	J	`jnl`	Robust regression and Lasso. IEEE Trans. Inf. Theory Huan Xu, Constantine Caramanis, Shie Mannor
2010	J	`jnl`	Robustness and Generalization CoRR Huan Xu, Shie Mannor
2010	A*	`conf`	Robustness and Generalization. COLT Huan Xu, Shie Mannor
2009	J	`jnl`	A Kalman Filter Design Based on the Performance/Robustness Tradeoff. IEEE Trans. Autom. Control. Huan Xu, Shie Mannor
2009	B	`conf`	High dimensional Principal Component Analysis with contaminated data. ITW Huan Xu, Constantine Caramanis, Shie Mannor
2009	—	`conf`	Parametric regret in uncertain Markov decision processes. CDC Huan Xu, Shie Mannor
2009	—	`conf`	Risk sensitive robust support vector machines. CDC Huan Xu, Constantine Caramanis, Shie Mannor, Sungho Yun
2009	J	`jnl`	Robustness and Regularization of Support Vector Machines. J. Mach. Learn. Res. Huan Xu, Constantine Caramanis, Shie Mannor
2008	J	`jnl`	Robust Regression and Lasso CoRR Huan Xu, Constantine Caramanis, Shie Mannor
2008	—	`conf`	Robust Regression and Lasso. NIPS Huan Xu, Constantine Caramanis, Shie Mannor
2008	—	`conf`	Robust dimensionality reduction for high-dimension data. Allerton Huan Xu, Constantine Caramanis, Shie Mannor
2008	J	`jnl`	Robustness, Risk, and Regularization in Support Vector Machines CoRR Huan Xu, Shie Mannor, Constantine Caramanis
2008	—	`conf`	Sparse algorithms are not stable: A no-free-lunch theorem. Allerton Huan Xu, Shie Mannor, Constantine Caramanis
2006	—	`conf`	The Robustness-Performance Tradeoff in Markov Decision Processes. NIPS Huan Xu, Shie Mannor