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Model-based Policy Optimization with Unsupervised Model Adaptation

Oct 28, 2020
Jian Shen, Han Zhao, Weinan Zhang, Yong Yu

* Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020) 

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Efficient Projection-Free Algorithms for Saddle Point Problems

Oct 21, 2020
Cheng Chen, Luo Luo, Weinan Zhang, Yong Yu


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GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning

Sep 17, 2020
Chang Liu, Huichu Zhang, Weinan Zhang, Guanjie Zheng, Yong Yu

* Proceedings of the 29th ACM International on Conference on Information and Knowledge Management (CIKM). ACM, 2020 

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GIKT: A Graph-based Interaction Model for Knowledge Tracing

Sep 13, 2020
Yang Yang, Jian Shen, Yanru Qu, Yunfei Liu, Kerong Wang, Yaoming Zhu, Weinan Zhang, Yong Yu

* 16 pages,2 figures, ECMLPKDD2020 

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Glancing Transformer for Non-Autoregressive Neural Machine Translation

Aug 18, 2020
Lihua Qian, Hao Zhou, Yu Bao, Mingxuan Wang, Lin Qiu, Weinan Zhang, Yong Yu, Lei Li

* 11 pages, 3 figures, 4 tables 

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Bidirectional Model-based Policy Optimization

Jul 04, 2020
Hang Lai, Jian Shen, Weinan Zhang, Yong Yu

* Accepted at ICML2020 

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Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space

Apr 17, 2020
Dongyu Ru, Yating Luo, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu

* 10 pages, 3 figures, 4 tables 

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Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip

Apr 03, 2020
Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu

* AAAI2020 

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AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction

Mar 26, 2020
Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu


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Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency

Mar 14, 2020
Guansong Lu, Zhiming Zhou, Jian Shen, Cheng Chen, Weinan Zhang, Yong Yu


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Multi-Agent Interactions Modeling with Correlated Policies

Jan 20, 2020
Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu

* 20 pages (10 pages of supplementary), 5 figures, Accepted by The Eighth International Conference on Learning Representations (ICLR 2020) 

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Improving Unsupervised Domain Adaptation with Variational Information Bottleneck

Nov 21, 2019
Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu


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Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling

Nov 10, 2019
Jiarui Qin, Kan Ren, Yuchen Fang, Weinan Zhang, Yong Yu

* WSDM 2020 

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Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching

Oct 07, 2019
Ming Zhou, Jiarui Jin, Weinan Zhang, Zhiwei Qin, Yan Jiao, Chenxi Wang, Guobin Wu, Yong Yu, Jieping Ye

* 9 pages,13 figures 

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Signal Instructed Coordination in Team Competition

Sep 10, 2019
Liheng Chen, Hongyi Guo, Haifeng Zhang, Fei Fang, Yaoming Zhu, Ming Zhou, Weinan Zhang, Qing Wang, Yong Yu

* 13 pages, 9 figures 

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Towards Making the Most of BERT in Neural Machine Translation

Aug 30, 2019
Jiacheng Yang, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Yong Yu, Weinan Zhang, Lei Li


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Dynamically Fused Graph Network for Multi-hop Reasoning

Jun 06, 2019
Yunxuan Xiao, Yanru Qu, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu

* Accepted by ACL 19 

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Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence

May 25, 2019
Yaoming Zhu, Juncheng Wan, Zhiming Zhou, Liheng Chen, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu


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CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

May 13, 2019
Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, Zhenhui Li

* WWW 2019 Demo Paper 

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Deep Landscape Forecasting for Real-time Bidding Advertising

May 12, 2019
Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Yong Yu

* KDD 2019. The reproducible code and dataset link is https://github.com/rk2900/DLF 

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Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs

Apr 02, 2019
Zhiming Zhou, Jian Shen, Yuxuan Song, Weinan Zhang, Yong Yu

* Submitted to IJCAI 2019 

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Lipschitz Generative Adversarial Nets

Mar 14, 2019
Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang

* Under review by the International Conference on Machine Learning (ICML 2019) 

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Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space

Mar 04, 2019
Zhou Fan, Rui Su, Weinan Zhang, Yong Yu


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Guiding the One-to-one Mapping in CycleGAN via Optimal Transport

Nov 15, 2018
Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu

* The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019) 

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Large-scale Interactive Recommendation with Tree-structured Policy Gradient

Nov 14, 2018
Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu


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