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Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation

Dec 04, 2020
Yanan Wang, Yong Ge, Li Li, Rui Chen, Tong Xu

* Accepted to Offline Reinforcement Learning Workshop at Neural Information Processing Systems (2020) 

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Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop

Oct 02, 2020
Wei Fan, Kunpeng Liu, Hao Liu, Yong Ge, Hui Xiong, Yanjie Fu

* arXiv admin note: substantial text overlap with arXiv:2008.12001 

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AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning

Sep 16, 2020
Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu

* Accepted by ICDM 2020. In this version, we revised some typos or mistakes for camera-ready 

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Explainable Recommender Systems via Resolving Learning Representations

Aug 21, 2020
Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi


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DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation

Feb 22, 2020
Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, Meng Wang

* This paper has been submitted to IEEE TKDE 

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Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning

Jan 27, 2020
Xi Liu, Li Li, Ping-Chun Hsieh, Muhe Xie, Yong Ge, Rui Chen


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Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games

Jan 14, 2019
Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang

* arXiv admin note: substantial text overlap with arXiv:1808.06573 

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A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games

Oct 10, 2018
Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang

* to appear in ICDM 2018 

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A Context-aware Attention Network for Interactive Question Answering

Sep 03, 2017
Huayu Li, Martin Renqiang Min, Yong Ge, Asim Kadav

* 9 pages 

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Heterogeneous Metric Learning with Content-based Regularization for Software Artifact Retrieval

Sep 25, 2014
Liang Wu, Hui Xiong, Liang Du, Bo Liu, Guandong Xu, Yong Ge, Yanjie Fu, Yuanchun Zhou, Jianhui Li

* to appear in IEEE International Conference on Data Mining (ICDM), Shen Zhen, China, December 2014 

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