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CBLab: Scalable Traffic Simulation with Enriched Data Supporting


Oct 03, 2022
Chumeng Liang, Zherui Huang, Yicheng Liu, Zhanyu Liu, Guanjie Zheng, Hanyuan Shi, Yuhao Du, Fuliang Li, Zhenhui Li

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Boosting Offline Reinforcement Learning with Residual Generative Modeling


Jun 22, 2021
Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li

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* Accepted by IJCAI 2021, appendix included, 9 pages, 4 figures, 2 tables 

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Learning to Route via Theory-Guided Residual Network


May 26, 2021
Chang Liu, Guanjie Zheng, Zhenhui Li

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Objective-aware Traffic Simulation via Inverse Reinforcement Learning


May 20, 2021
Guanjie Zheng, Hanyang Liu, Kai Xu, Zhenhui Li

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* Accepted for publication by IJCAI 2021 

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Learning to Simulate on Sparse Trajectory Data


Mar 22, 2021
Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li

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* Accepted by ECML-PKDD 2020, Best Applied Data Science Paper. 16 pages, 6 figures 

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Automatic Historical Feature Generation through Tree-based Method in Ads Prediction


Dec 31, 2020
Hongjian Wang, Qi Li, Lanbo Zhang, Yue Lu, Steven Yoo, Srinivas Vadrevu, Zhenhui Li

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* 7 pages, KDD'19 AutoML Workshop 

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Online Structured Meta-learning


Oct 22, 2020
Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong

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* Accepted by NeurIPS 2020 

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Relation-aware Meta-learning for Market Segment Demand Prediction with Limited Records


Aug 01, 2020
Jiatu Shi, Huaxiu Yao, Xian Wu, Tong Li, Zedong Lin, Tengfei Wang, Binqiang Zhao, Zhenhui Li

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* First two authors contributed equally 

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Don't Overlook the Support Set: Towards Improving Generalization in Meta-learning


Jul 26, 2020
Huaxiu Yao, Longkai Huang, Ying Wei, Li Tian, Junzhou Huang, Zhenhui Li

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