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Chenliang Li

Safe-FinRL: A Low Bias and Variance Deep Reinforcement Learning Implementation for High-Freq Stock Trading



Zitao Song , Xuyang Jin , Chenliang Li

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Automatic Expert Selection for Multi-Scenario and Multi-Task Search



Xinyu Zou , Zhi Hu , Yiming Zhao , Xuchu Ding , Zhongyi Liu , Chenliang Li , Aixin Sun

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* Accepted by SIGIR 2022; 10 pages, 8 figures 
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mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections



Chenliang Li , Haiyang Xu , Junfeng Tian , Wei Wang , Ming Yan , Bin Bi , Jiabo Ye , Hehong Chen , Guohai Xu , Zheng Cao , Ji Zhang , Songfang Huang , Fei Huang , Jingren Zhou , Luo Si

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Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation



Xiaokun Zhang , Bo Xu , Liang Yang , Chenliang Li , Fenglong Ma , Haifeng Liu , Hongfei Lin

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* This paper has bee accepted as a conference paper at SIGIR 2022 
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When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential Recommendation



Yu Tian , Jianxin Chang , Yannan Niu , Yang Song , Chenliang Li

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* 10 pages, 7 figures 
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Knowledge Graph Contrastive Learning for Recommendation



Yuhao Yang , Chao Huang , Lianghao Xia , Chenliang Li

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* This paper has been published as a full paper at SIGIR 2022 
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Recommender May Not Favor Loyal Users



Yitong Ji , Aixin Sun , Jie Zhang , Chenliang Li

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Achieving Human Parity on Visual Question Answering



Ming Yan , Haiyang Xu , Chenliang Li , Junfeng Tian , Bin Bi , Wei Wang , Weihua Chen , Xianzhe Xu , Fan Wang , Zheng Cao , Zhicheng Zhang , Qiyu Zhang , Ji Zhang , Songfang Huang , Fei Huang , Luo Si , Rong Jin

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