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Learning Universal User Representations via Self-Supervised Lifelong Behaviors Modeling


Oct 25, 2021
Bei Yang, Ke Liu, Xiaoxiao Xu, Renjun Xu, Hong Liu, Huan Xu

* during peer review 

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Interest-oriented Universal User Representation via Contrastive Learning


Sep 18, 2021
Qinghui Sun, Jie Gu, Bei Yang, XiaoXiao Xu, Renjun Xu, Shangde Gao, Hong Liu, Huan Xu

* 8 pages, during peer review 

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Markdowns in E-Commerce Fresh Retail: A Counterfactual Prediction and Multi-Period Optimization Approach


May 19, 2021
Junhao Hua, Ling Yan, Huan Xu, Cheng Yang

* 10 pages, 7 figures, accepted to KDD'21 

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Adversaries in Online Learning Revisited: with applications in Robust Optimization and Adversarial training


Jan 27, 2021
Sebastian Pokutta, Huan Xu


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Multi-Agent Coverage in Urban Environments


Aug 17, 2020
Shivang Patel, Senthil Hariharan, Pranav Dhulipala, Ming C Lin, Dinesh Manocha, Huan Xu, Michael Otte


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Effective Training Strategies for Deep Graph Neural Networks


Jun 12, 2020
Kuangqi Zhou, Yanfei Dong, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng

* Code is available at  

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Maximizing Cumulative User Engagement in Sequential Recommendation: An Online Optimization Perspective


Jun 02, 2020
Yifei Zhao, Yu-Hang Zhou, Mingdong Ou, Huan Xu, Nan Li


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Time Series Data Augmentation for Deep Learning: A Survey


Feb 27, 2020
Qingsong Wen, Liang Sun, Xiaomin Song, Jingkun Gao, Xue Wang, Huan Xu

* 7 pages, 2 figures, 3 tables, 42 referred papers 

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RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks


Feb 21, 2020
Jingkun Gao, Xiaomin Song, Qingsong Wen, Pichao Wang, Liang Sun, Huan Xu

* 9 pages, 5 figures, and 2 tables 

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RobustPeriod: Time-Frequency Mining for Robust Multiple Periodicities Detection


Feb 21, 2020
Qingsong Wen, Kai He, Liang Sun, Yingying Zhang, Min Ke, Huan Xu

* 9 pages, 7 figures, and 4 tables 

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Competing Against Equilibria in Zero-Sum Games with Evolving Payoffs


Jul 17, 2019
Adrian Rivera Cardoso, Jacob Abernethy, He Wang, Huan Xu


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Inductive Bias of Gradient Descent based Adversarial Training on Separable Data


Jun 10, 2019
Yan Li, Ethan X. Fang, Huan Xu, Tuo Zhao


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Bayesian Active Learning With Abstention Feedbacks


Jun 04, 2019
Cuong V. Nguyen, Lam Si Tung Ho, Huan Xu, Vu Dinh, Binh Nguyen

* Presented at 2019 ICML Workshop on Human in the Loop Learning (HILL 2019), Long Beach, USA. arXiv admin note: substantial text overlap with arXiv:1705.08481 

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Large Scale Markov Decision Processes with Changing Rewards


May 25, 2019
Adrian Rivera Cardoso, He Wang, Huan Xu


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LSwarm: Efficient Collision Avoidance for Large Swarms with Coverage Constraints in Complex Urban Scenes


Mar 06, 2019
Senthil Hariharan Arul, Adarsh Jagan Sathyamoorthy, Shivang Patel, Michael Otte, Huan Xu, Ming C Lin, Dinesh Manocha

* 11 pages 

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A Unified Framework for Marketing Budget Allocation


Feb 04, 2019
Kui Zhao, Junhao Hua, Ling Yan, Qi Zhang, Huan Xu, Cheng Yang

* 11 pages, 8 figures 

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Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning


Jan 27, 2019
Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong


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RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series


Dec 05, 2018
Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu, Shenghuo Zhu

* Accepted to the thirty-third AAAI Conference on Artificial Intelligence (AAAI 2019), 9 pages, 5 figures 

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Risk-Averse Stochastic Convex Bandit


Oct 01, 2018
Adrian Rivera Cardoso, Huan Xu


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Accelerated Randomized Mirror Descent Algorithms For Composite Non-strongly Convex Optimization


Jul 17, 2018
Le Thi Khanh Hien, Cuong V. Nguyen, Huan Xu, Canyi Lu, Jiashi Feng


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Online Saddle Point Problem with Applications to Constrained Online Convex Optimization


Jun 21, 2018
Adrian Rivera, He Wang, Huan Xu


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Robust Hypothesis Testing Using Wasserstein Uncertainty Sets


May 27, 2018
Rui Gao, Liyan Xie, Yao Xie, Huan Xu


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Projection-Free Algorithms in Statistical Estimation


May 20, 2018
Yan Li, Chao Qu, Huan Xu


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Communication-Efficient Projection-Free Algorithm for Distributed Optimization


May 20, 2018
Yan Li, Chao Qu, Huan Xu


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Nonlinear Distributional Gradient Temporal-Difference Learning


May 20, 2018
Chao Qu, Shie Mannor, Huan Xu


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A Multi-State Diagnosis and Prognosis Framework with Feature Learning for Tool Condition Monitoring


Apr 30, 2018
Chong Zhang, Geok Soon Hong, Jun-Hong Zhou, Kay Chen Tan, Haizhou Li, Huan Xu, Jihoon Hong, Hian-Leng Chan

* 14 pages, 12 figures, 10 tables, submitted to IEEE Transactions on Cybernetics 

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Learning Deep Mean Field Games for Modeling Large Population Behavior


Apr 22, 2018
Jiachen Yang, Xiaojing Ye, Rakshit Trivedi, Huan Xu, Hongyuan Zha

* Accepted to International Conference on Learning Representations (2018) 

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Fast Global Convergence via Landscape of Empirical Loss


Feb 13, 2018
Chao Qu, Yan Li, Huan Xu


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Nearly second-order asymptotic optimality of sequential change-point detection with one-sample updates


Dec 04, 2017
Yang Cao, Liyan Xie, Yao Xie, Huan Xu


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Reinforcement Learning under Model Mismatch


Nov 09, 2017
Aurko Roy, Huan Xu, Sebastian Pokutta

* To appear in Proceedings of NIPS 2017 

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