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Boosting Factorization Machines via Saliency-Guided Mixup


Jun 17, 2022
Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao


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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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