• Lyu Jiameng

    Assistant Profe

    Management Scie

    Add: Guoshun Road Siyuan Building Room 109, Siyuan Building

    Tel: 25011438(TEL)

    E-mail: jiamenglyu@fudan.edu.cn

    Research Field: Data-driven Decision-making, Online Learning & Optimization, Machine Learning, Reinforcement Learning

    Website:

    Teacher information
    Achievements in scientific research
    Academic activities and community service

    Journal Papers


    1.Jiameng Lyu, Jinxing Xie, Shilin Yuan, and Yuan Zhou2025A minibatch stochastic gradient descent-based learning metapolicy for inventory systems with myopic optimal policyManagement Science 71(7) 5572-5588.  



    2.Shilin Yuan, Jiameng Lyu, Jinxing Xie, and Yuan Zhou2024Asymptotic optimality of base-stock policies for lost-sales inventory systems with stochastic lead timesOperations Research Letters 57 1-7.  



    3.Xi Chen, Jiameng Lyu, Yining Wang, and Yuan Zhou2024Network revenue management with demand learning and fair resource-consumption balancingProduction and Operations Management 33(2) 494-511.  



    4.Qi Qi, Jiameng Lyu, Kung-Sik Chan, Er-Wei Bai, and Tianbao Yang2023Stochastic Constrained DRO with a Complexity Independent of Sample SizeTransactions on Machine Learning Research 2023/06 1-37.  


    Journal Papers


    1.Jiameng Lyu, Jinxing Xie, Shilin Yuan, and Yuan Zhou2025A minibatch stochastic gradient descent-based learning metapolicy for inventory systems with myopic optimal policyManagement Science 71(7) 5572-5588.  



    2.Shilin Yuan, Jiameng Lyu, Jinxing Xie, and Yuan Zhou2024Asymptotic optimality of base-stock policies for lost-sales inventory systems with stochastic lead timesOperations Research Letters 57 1-7.  



    3.Xi Chen, Jiameng Lyu, Yining Wang, and Yuan Zhou2024Network revenue management with demand learning and fair resource-consumption balancingProduction and Operations Management 33(2) 494-511.  



    4.Qi Qi, Jiameng Lyu, Kung-Sik Chan, Er-Wei Bai, and Tianbao Yang2023Stochastic Constrained DRO with a Complexity Independent of Sample SizeTransactions on Machine Learning Research 2023/06 1-37.