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ORCIDHuan Xu 0001
Person information
- affiliation: Alibaba Group, Seattle, WA, USA
- affiliation: Georgia Institute of Technology, Atlanta, GA, USA
- affiliation (former): National University of Singapore, Department of Industrial Systems Engineering and Management, Singapore
- affiliation (2009 - 2010): University of Texas at Austin, TX, USA
- affiliation (PhD 2009): McGill University, Montreal, QC, Canada
Other persons with the same name
- Huan Xu — disambiguation page
- Huan Xu 0002
![[0000-0002-7238-8759]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-7238-8759")
— University of Maryland, School of Engineering, College Park, MD, USA (and 1 more) - Huan Xu 0003 — Chinese Academy of Sciences, Hong Kong Institute of Science & Innovation, Centre for Artificial Intelligence and Robotics, Hong Kong
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2020 – today
- 2021
[c52]Kuangqi Zhou, Yanfei Dong, Kaixin Wang, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng:
Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks. CIKM 2021: 2728-2737- [c51]Qingsong Wen, Liang Sun, Fan Yang, Xiaomin Song, Jingkun Gao, Xue Wang, Huan Xu:
Time Series Data Augmentation for Deep Learning: A Survey. IJCAI 2021: 4653-4660 - [c50]Qingsong Wen, Kai He, Liang Sun, Yingying Zhang, Min Ke, Huan Xu:
RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection. SIGMOD Conference 2021: 2328-2337 - 2020
- [j26]Le Thi Khanh Hien, Melvyn Sim, Huan Xu:
Mitigating Interdiction Risk with Fortification. Oper. Res. 68(2): 348-362 (2020) - [j25]Wenzhuo Yang, Melvyn Sim, Huan Xu:
Goal scoring, coherent loss and applications to machine learning. Math. Program. 182(1): 103-140 (2020) - [i28]Qingsong Wen, Kai He, Liang Sun, Yingying Zhang, Min Ke, Huan Xu:
RobustPeriod: Time-Frequency Mining for Robust Multiple Periodicities Detection. CoRR abs/2002.09535 (2020) - [i27]Jingkun Gao, Xiaomin Song, Qingsong Wen, Pichao Wang, Liang Sun, Huan Xu:
RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks. CoRR abs/2002.09545 (2020) - [i26]Qingsong Wen, Liang Sun, Xiaomin Song, Jingkun Gao, Xue Wang, Huan Xu:
Time Series Data Augmentation for Deep Learning: A Survey. CoRR abs/2002.12478 (2020) - [i25]Kuangqi Zhou, Yanfei Dong, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng:
Effective Training Strategies for Deep Graph Neural Networks. CoRR abs/2006.07107 (2020)
2010 – 2019
- 2019
- [j24]Zhi Chen, Melvyn Sim, Huan Xu:
Distributionally Robust Optimization with Infinitely Constrained Ambiguity Sets. Oper. Res. 67(5): 1328-1344 (2019) - [j23]Le Thi Khanh Hien, Cuong V. Nguyen, Huan Xu, Canyi Lu, Jiashi Feng:
Accelerated Randomized Mirror Descent Algorithms for Composite Non-strongly Convex Optimization. J. Optim. Theory Appl. 181(2): 541-566 (2019) - [c49]Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu, Shenghuo Zhu:
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series. AAAI 2019: 5409-5416 - [c48]Chao Qu, Shie Mannor, Huan Xu:
Nonlinear Distributional Gradient Temporal-Difference Learning. ICML 2019: 5251-5260 - [c47]Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong:
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. NeurIPS 2019: 1182-1191 - [c46]Pan Zhou, Xiaotong Yuan, Huan Xu, Shuicheng Yan, Jiashi Feng:
Efficient Meta Learning via Minibatch Proximal Update. NeurIPS 2019: 1532-1542 - [i24]Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong:
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. CoRR abs/1901.09326 (2019) - 2018
- [j22]Pengqian Yu, William B. Haskell, Huan Xu:
Approximate Value Iteration for Risk-Aware Markov Decision Processes. IEEE Trans. Autom. Control. 63(9): 3135-3142 (2018) - [c45]Tom Zahavy, Bingyi Kang, Alex Sivak, Jiashi Feng, Huan Xu, Shie Mannor:
Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms. ICLR (Workshop) 2018 - [c44]Chao Qu, Yan Li, Huan Xu:
Non-convex Conditional Gradient Sliding. ICML 2018: 4205-4214 - [i23]Chao Qu, Yan Li, Huan Xu:
Fast Global Convergence via Landscape of Empirical Loss. CoRR abs/1802.04617 (2018) - [i22]Chao Qu, Shie Mannor, Huan Xu:
Nonlinear Distributional Gradient Temporal-Difference Learning. CoRR abs/1805.07732 (2018) - [i21]Yan Li, Chao Qu, Huan Xu:
Communication-Efficient Projection-Free Algorithm for Distributed Optimization. CoRR abs/1805.07841 (2018) - [i20]Yan Li, Chao Qu, Huan Xu:
Projection-Free Algorithms in Statistical Estimation. CoRR abs/1805.07844 (2018) - [i19]Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu, Shenghuo Zhu:
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series. CoRR abs/1812.01767 (2018) - 2017
- [j21]Shiau Hong Lim, Yudong Chen, Huan Xu:
Clustering from General Pairwise Observations with Applications to Time-varying Graphs. J. Mach. Learn. Res. 18: 49:1-49:47 (2017) - [c43]Pengqian Yu, William B. Haskell, Huan Xu:
Dynamic programming for risk-aware sequential optimization. CDC 2017: 4934-4939 - [c42]Daniel Vainsencher, Shie Mannor, Huan Xu:
Ignoring Is a Bliss: Learning with Large Noise Through Reweighting-Minimization. COLT 2017: 1849-1881 - [i18]Jiashi Feng, Huan Xu, Shie Mannor:
Outlier Robust Online Learning. CoRR abs/1701.00251 (2017) - [i17]Pengqian Yu, William B. Haskell, Huan Xu:
Approximate Value Iteration for Risk-aware Markov Decision Processes. CoRR abs/1701.01290 (2017) - [i16]Chao Qu, Huan Xu:
Linear convergence of SDCA in statistical estimation. CoRR abs/1701.07808 (2017) - 2016
- [j20]Huan Xu, Constantine Caramanis, Shie Mannor:
Statistical Optimization in High Dimensions. Oper. Res. 64(4): 958-979 (2016) - [j19]Shiau Hong Lim, Huan Xu, Shie Mannor:
Reinforcement Learning in Robust Markov Decision Processes. Math. Oper. Res. 41(4): 1325-1353 (2016) - [j18]Shie Mannor, Ofir Mebel, Huan Xu:
Robust MDPs with k-Rectangular Uncertainty. Math. Oper. Res. 41(4): 1484-1509 (2016) - [j17]Wenzhuo Yang, Huan Xu:
Distributionally robust chance constraints for non-linear uncertainties. Math. Program. 155(1-2): 231-265 (2016) - [j16]Guangcan Liu, Huan Xu, Jinhui Tang, Qingshan Liu, Shuicheng Yan:
A Deterministic Analysis for LRR. IEEE Trans. Pattern Anal. Mach. Intell. 38(3): 417-430 (2016) - [j15]Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi:
Matrix Completion With Column Manipulation: Near-Optimal Sample-Robustness-Rank Tradeoffs. IEEE Trans. Inf. Theory 62(1): 503-526 (2016) - [c41]Hanwang Zhang, Xindi Shang, Wenzhuo Yang, Huan Xu, Huan-Bo Luan, Tat-Seng Chua:
Online Collaborative Learning for Open-Vocabulary Visual Classifiers. CVPR 2016: 2809-2817 - [c40]Chao Qu, Huan Xu, Chong Jin Ong:
Fast Rate Analysis of Some Stochastic Optimization Algorithms. ICML 2016: 662-670 - [i15]Jiashi Feng, Tom Zahavy, Bingyi Kang, Huan Xu, Shie Mannor:
Ensemble Robustness of Deep Learning Algorithms. CoRR abs/1602.02389 (2016) - [i14]Chao Qu, Huan Xu:
Linear Convergence of SVRG in Statistical Estimation. CoRR abs/1611.01957 (2016) - 2015
- [j14]Nir Ailon, Yudong Chen, Huan Xu:
Iterative and active graph clustering using trace norm minimization without cluster size constraints. J. Mach. Learn. Res. 16: 455-490 (2015) - [c39]Wenzhuo Yang, Huan Xu:
A Unified Framework for Outlier-Robust PCA-like Algorithms. ICML 2015: 484-493 - [c38]Wenzhuo Yang, Huan Xu:
Streaming Sparse Principal Component Analysis. ICML 2015: 494-503 - [c37]Wenzhuo Yang, Huan Xu:
A Divide and Conquer Framework for Distributed Graph Clustering. ICML 2015: 504-513 - [c36]Shiau Hong Lim, Yudong Chen, Huan Xu:
A Convex Optimization Framework for Bi-Clustering. ICML 2015: 1679-1688 - [c35]Chao Qu, Huan Xu:
Subspace Clustering with Irrelevant Features via Robust Dantzig Selector. NIPS 2015: 757-765 - 2014
- [j13]Yudong Chen, Ali Jalali, Sujay Sanghavi, Huan Xu:
Clustering partially observed graphs via convex optimization. J. Mach. Learn. Res. 15(1): 2213-2238 (2014) - [j12]Jiashi Feng, Xiao-Tong Yuan, Zilei Wang, Huan Xu, Shuicheng Yan:
Autogrouped Sparse Representation for Visual Analysis. IEEE Trans. Image Process. 23(12): 5390-5399 (2014) - [j11]Yudong Chen, Sujay Sanghavi, Huan Xu:
Improved Graph Clustering. IEEE Trans. Inf. Theory 60(10): 6440-6455 (2014) - [c34]Jiashi Feng, Zhouchen Lin, Huan Xu, Shuicheng Yan:
Robust Subspace Segmentation with Block-Diagonal Prior. CVPR 2014: 3818-3825 - [c33]Wenzhuo Yang, Melvyn Sim, Huan Xu:
The Coherent Loss Function for Classification. ICML 2014: 37-45 - [c32]Aviv Tamar, Shie Mannor, Huan Xu:
Scaling Up Robust MDPs using Function Approximation. ICML 2014: 181-189 - [c31]Yudong Chen, Shiau Hong Lim, Huan Xu:
Weighted Graph Clustering with Non-Uniform Uncertainties. ICML 2014: 1566-1574 - [c30]Jiashi Feng, Huan Xu, Shie Mannor, Shuicheng Yan:
Robust Logistic Regression and Classification. NIPS 2014: 253-261 - [c29]Shiau Hong Lim, Yudong Chen, Huan Xu:
Clustering from Labels and Time-Varying Graphs. NIPS 2014: 1188-1196 - [c28]Changbo Zhu, Huan Xu, Chenlei Leng, Shuicheng Yan:
Convex Optimization Procedure for Clustering: Theoretical Revisit. NIPS 2014: 1619-1627 - [i13]Jiashi Feng, Huan Xu, Shie Mannor:
Distributed Robust Learning. CoRR abs/1409.5937 (2014) - 2013
- [j10]Huan Xu, Constantine Caramanis, Shie Mannor:
Outlier-Robust PCA: The High-Dimensional Case. IEEE Trans. Inf. Theory 59(1): 546-572 (2013) - [c27]Wenzhuo Yang, Huan Xu:
A Unified Robust Regression Model for Lasso-like Algorithms. ICML (3) 2013: 585-593 - [c26]Nir Ailon, Yudong Chen, Huan Xu:
Breaking the Small Cluster Barrier of Graph Clustering. ICML (3) 2013: 995-1003 - [c25]Jiashi Feng, Huan Xu, Shuicheng Yan:
Online Robust PCA via Stochastic Optimization. NIPS 2013: 404-412 - [c24]Shiau Hong Lim, Huan Xu, Shie Mannor:
Reinforcement Learning in Robust Markov Decision Processes. NIPS 2013: 701-709 - [c23]Jiashi Feng, Huan Xu, Shie Mannor, Shuicheng Yan:
Online PCA for Contaminated Data. NIPS 2013: 764-772 - [c22]Daniel Vainsencher, Shie Mannor, Huan Xu:
Learning Multiple Models via Regularized Weighting. NIPS 2013: 1977-1985 - [i12]Nir Ailon, Yudong Chen, Huan Xu:
Breaking the Small Cluster Barrier of Graph Clustering. CoRR abs/1302.4549 (2013) - [i11]Aviv Tamar, Huan Xu, Shie Mannor:
Scaling Up Robust MDPs by Reinforcement Learning. CoRR abs/1306.6189 (2013) - 2012
- [j9]Huan Xu, Constantine Caramanis, Shie Mannor:
Optimization Under Probabilistic Envelope Constraints. Oper. Res. 60(3): 682-699 (2012) - [j8]Huan Xu, Shie Mannor:
Robustness and generalization. Mach. Learn. 86(3): 391-423 (2012) - [j7]Huan Xu, Constantine Caramanis, Shie Mannor:
A Distributional Interpretation of Robust Optimization. Math. Oper. Res. 37(1): 95-110 (2012) - [j6]Huan Xu, Shie Mannor:
Distributionally Robust Markov Decision Processes. Math. Oper. Res. 37(2): 288-300 (2012) - [j5]Huan Xu, Constantine Caramanis, Shie Mannor:
Sparse Algorithms Are Not Stable: A No-Free-Lunch Theorem. IEEE Trans. Pattern Anal. Mach. Intell. 34(1): 187-193 (2012) - [j4]Huan Xu, Constantine Caramanis, Sujay Sanghavi:
Robust PCA via Outlier Pursuit. IEEE Trans. Inf. Theory 58(5): 3047-3064 (2012) - [c21]Jiashi Feng, Xiaotong Yuan, Zilei Wang, Huan Xu, Shuicheng Yan:
Auto-Grouped Sparse Representation for Visual Analysis. ECCV (1) 2012: 640-653 - [c20]Jiashi Feng, Huan Xu, Shuicheng Yan:
Robust PCA in High-dimension: A Deterministic Approach. ICML 2012 - [c19]Shie Mannor, Ofir Mebel, Huan Xu:
Lightning Does Not Strike Twice: Robust MDPs with Coupled Uncertainty. ICML 2012 - [c18]Yudong Chen, Sujay Sanghavi, Huan Xu:
Clustering Sparse Graphs. NIPS 2012: 2213-2221 - [c17]Guangcan Liu, Huan Xu, Shuicheng Yan:
Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation. AISTATS 2012: 703-711 - [c16]Huan Xu, Constantine Caramanis, Shie Mannor:
Statistical Optimization in High Dimensions. AISTATS 2012: 1332-1340 - [i10]Jiashi Feng, Huan Xu, Shuicheng Yan:
Robust PCA in High-dimension: A Deterministic Approach. CoRR abs/1206.4628 (2012) - [i9]Shie Mannor, Ofir Mebel, Huan Xu:
Lightning Does Not Strike Twice: Robust MDPs with Coupled Uncertainty. CoRR abs/1206.4643 (2012) - 2011
- [c15]Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi:
Robust Matrix Completion and Corrupted Columns. ICML 2011: 873-880 - [c14]Ali Jalali, Yudong Chen, Sujay Sanghavi, Huan Xu:
Clustering Partially Observed Graphs via Convex Optimization. ICML 2011: 1001-1008 - [c13]Huan Xu, Shie Mannor:
Probabilistic Goal Markov Decision Processes. IJCAI 2011: 2046-2052 - [i8]Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi:
Robust Matrix Completion with Corrupted Columns. CoRR abs/1102.2254 (2011) - [i7]Ali Jalali, Yudong Chen, Sujay Sanghavi, Huan Xu:
Clustering Partially Observed Graphs via Convex Optimization. CoRR abs/1104.4803 (2011) - [i6]Guangcan Liu, Huan Xu, Shuicheng Yan:
Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation. CoRR abs/1109.1646 (2011) - 2010
- [j3]Huan Xu, Constantine Caramanis, Shie Mannor:
Robust regression and Lasso. IEEE Trans. Inf. Theory 56(7): 3561-3574 (2010) - [c12]Huan Xu, Constantine Caramanis, Shie Mannor:
A distributional interpretation of robust optimization. Allerton 2010: 552-556 - [c11]Huan Xu, Constantine Caramanis, Shie Mannor:
Principal Component Analysis with Contaminated Data: The High Dimensional Case. COLT 2010: 490-502 - [c10]Huan Xu, Shie Mannor:
Robustness and Generalization. COLT 2010: 503-515 - [c9]Huan Xu, Constantine Caramanis, Sujay Sanghavi:
Robust PCA via Outlier Pursuit. NIPS 2010: 2496-2504 - [c8]Huan Xu, Shie Mannor:
Distributionally Robust Markov Decision Processes. NIPS 2010: 2505-2513 - [i5]Huan Xu, Constantine Caramanis, Shie Mannor:
Principal Component Analysis with Contaminated Data: The High Dimensional Case. CoRR abs/1002.4658 (2010) - [i4]Huan Xu, Shie Mannor:
Robustness and Generalization. CoRR abs/1005.2243 (2010) - [i3]Huan Xu, Constantine Caramanis, Sujay Sanghavi:
Robust PCA via Outlier Pursuit. CoRR abs/1010.4237 (2010)
2000 – 2009
- 2009
- [j2]Huan Xu, Constantine Caramanis, Shie Mannor:
Robustness and Regularization of Support Vector Machines. J. Mach. Learn. Res. 10: 1485-1510 (2009) - [j1]Huan Xu, Shie Mannor:
A Kalman Filter Design Based on the Performance/Robustness Tradeoff. IEEE Trans. Autom. Control. 54(5): 1171-1175 (2009) - [c7]Huan Xu, Shie Mannor:
Parametric regret in uncertain Markov decision processes. CDC 2009: 3606-3613 - [c6]Huan Xu, Constantine Caramanis, Shie Mannor, Sungho Yun:
Risk sensitive robust support vector machines. CDC 2009: 4655-4661 - [c5]Huan Xu, Constantine Caramanis, Shie Mannor:
High dimensional Principal Component Analysis with contaminated data. ITW 2009: 246-250 - 2008
- [c4]Huan Xu, Constantine Caramanis, Shie Mannor:
Robust dimensionality reduction for high-dimension data. Allerton 2008: 1291-1298 - [c3]Huan Xu, Shie Mannor, Constantine Caramanis:
Sparse algorithms are not stable: A no-free-lunch theorem. Allerton 2008: 1299-1303 - [c2]Huan Xu, Constantine Caramanis, Shie Mannor:
Robust Regression and Lasso. NIPS 2008: 1801-1808 - [i2]Huan Xu, Shie Mannor, Constantine Caramanis:
Robustness, Risk, and Regularization in Support Vector Machines. CoRR abs/0803.3490 (2008) - [i1]Huan Xu, Constantine Caramanis, Shie Mannor:
Robust Regression and Lasso. CoRR abs/0811.1790 (2008) - 2006
- [c1]Huan Xu, Shie Mannor:
The Robustness-Performance Tradeoff in Markov Decision Processes. NIPS 2006: 1537-1544
Coauthor Index
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