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    Shi Yansong

    Assistant Professor

    Information Management and Business Intelligence (IM&BI)

    Add: Guoshun Road Siyuan Building Room 411, Siyuan Building

    Tel: 25011053(TEL)

    E-mail: shiys@fudan.edu.cn

    Research Field: Machine Learning, Causal Inference, Consumer Behavioral Bias, Reinforcement Learning, Data Mining

    Website:

    Teacher information
    Achievements in scientific research
    Academic activities and community service

    Journal Papers


    1.Cong Wang, Yansong Shi, Xunhua Guo, and Guoqing Chen. 2025. Probing digital footprints and reaching for inherent preferences: A cause-disentanglement approach to personalized recommendations. Information Systems Research forthcoming 1314-1332.  


    Conference Proceedings


    1.Tianyu Zhu, Yansong Shi, Yuan Zhang, Yihong Wu, Fengran Mo, and Jian-Yun Nie. 2024. Collaboration and transition: distilling item transitions into multi-query self-attention for sequential recommendation. WSDM '24: Proceedings of the 17th ACM International Conference on Web Search and Data Mining Merida, Mexico 1003-1011.  



    2.Yansong Shi, Cong Wang, Xunhua Guo, and Guoqing Chen. 2022. Personalized recommendation through disentangled representation learning of consumers’ multiple digital footprints. ICIS 2022 Proceedings 8 1-18.  



    3.Yansong Shi, Cong Wang, Xunhua Guo, and Guoqing Chen. 2021. Training personalized recommender systems with biased data: A joint likelihood approach to modeling consumer self-selection behaviors. ICIS 2021 Proceedings 11 1-18.  


    Research Projects

    2026.01—2030.12, Member, Research on Service Innovation and Service Quality Evaluation Driven by Artificial Intelligence Technologies for Smart, Connected Products, National Natural Science Foundation of China

    2026.01—2028.12, Principal Investigator, Principal Investigator, Research on Causal Recommendation Approach for Mitigating Consumer Behavior Data Biases, National Natural Science Foundation of China


    Journal Papers


    1.Cong Wang, Yansong Shi, Xunhua Guo, and Guoqing Chen. 2025. Probing digital footprints and reaching for inherent preferences: A cause-disentanglement approach to personalized recommendations. Information Systems Research forthcoming 1314-1332.  


    Conference Proceedings


    1.Tianyu Zhu, Yansong Shi, Yuan Zhang, Yihong Wu, Fengran Mo, and Jian-Yun Nie. 2024. Collaboration and transition: distilling item transitions into multi-query self-attention for sequential recommendation. WSDM '24: Proceedings of the 17th ACM International Conference on Web Search and Data Mining Merida, Mexico 1003-1011.  



    2.Yansong Shi, Cong Wang, Xunhua Guo, and Guoqing Chen. 2022. Personalized recommendation through disentangled representation learning of consumers’ multiple digital footprints. ICIS 2022 Proceedings 8 1-18.  



    3.Yansong Shi, Cong Wang, Xunhua Guo, and Guoqing Chen. 2021. Training personalized recommender systems with biased data: A joint likelihood approach to modeling consumer self-selection behaviors. ICIS 2021 Proceedings 11 1-18.  


    Research Projects

    2026.01—2030.12, Member, Research on Service Innovation and Service Quality Evaluation Driven by Artificial Intelligence Technologies for Smart, Connected Products, National Natural Science Foundation of China

    2026.01—2028.12, Principal Investigator, Principal Investigator, Research on Causal Recommendation Approach for Mitigating Consumer Behavior Data Biases, National Natural Science Foundation of China