代表性论文选
Minghui Lai, Xiaoqiang Cai*, and Nicholas G. Hall. Cost Allocation for Less-than-truckload Collaboration via Shipper Consortium. Transportation Science, 2022, 56(3): 585-611. https://doi.org/10.1287/trsc.2021.1066.
Minghui Lai, Weili Xue, and Qian Hu*. An Ascending Auction for Freight Forwarders Collaboration in Capacity Sharing. Transportation Science, 2019, 53(4): 1175-1195. https://doi.org/10.1287/trsc.2018.0870.
Minghui Lai, Yating Wu*, and Xiaoqiang Cai. Core-based Cost Allocation for Collaborative Multi-stop Truckload Shipping Problem. IISE Transactions, 2024, 1–19. https://doi.org/10.1080/24725854.2024.2324358.
Minghui Lai, Qian Hu*, Weili Xue, and Huajing Liu. Column Generation for the Collaborative Multi-stop Truckload Shipping Problem in Daily Regional Distribution. Transportmetrica A: Transport Science, 2024, 1–46. https://doi.org/10.1080/23249935.2024.2378361.
Yating Wu, Minghui Lai*, and Yuan Wang. Integrating One-to-Many Peer-to-Peer Ridesharing and Public Transit for Morning Commute on a Mobility-as-a-Service Platform. Transportmetrica A: Transport Science, 2024, https://doi.org/10.1080/23249935.2024.2393226.
Minghui Lai, Xiaoqiang Cai, and Qian Hu*. Market Design for Commute-Driven Private Parking Lot Sharing. Transportation Research Part C: Emerging Technologies, 2021, 124: 102915. https://doi.org/10.1016/j.trc.2020.102915.
Minghui Lai*, Qian Hu, Ying Liu, and Zekun Lang. A Rolling-horizon Decision Framework for Integrating Relocation and User Flexibility in One-way Electric Carsharing Systems. Transportation Research Part C: Emerging Technologies, 2022, 144: 103867.https://doi.org/10.1016/j.trc.2022.103867.
Lijun Wei, Minghui Lai, Andrew Lim, and Qian Hu*. A branch-and-price algorithm for the two-dimensional vector packing problem. European Journal of Operational Research, 2019, 28(1): 25-35. https://doi.org/10.1016/j.ejor.2019.08.024.
Xiaoqiang Cai, Minghui Lai*, Xiang Li, Yongjian Li, and Xianyi Wu. Optimal acquisition and production policy in a hybrid manufacturing/remanufacturing system with core acquisition at different quality levels. European Journal of Operational Research, 2014, 233(2): 374-382. https://doi.org/10.1016/j.ejor.2013.07.017.
Ruiling Yang, and Minghui Lai*. Multi-level Analyses on the Matching Policy of On-demand Ride-hailing Service. International Journal of Sustainable Transportation, 2020. https://doi.org/10.1080/15568318.2020.1795760.
在审论文
Yating Wu, Minghui Lai*, and Yuan Wang. Approximate One-to-Many Stable Matching Algorithms for Integrating Ridesharing and Public Transit on a Mobility-as-a-Service Platform. Transportation Research Part B: Methodological, Under review, 2024.
Minghui Lai, Weili Xue, and Qifan Yang. Dynamic Coordinated Scheduling in a Battery Swapping Network with Deep Reinforcement Learning. Transportation Research Part C: Emerging Technologies, Under review, 2024.
工作论文
Minghui Lai, and Ying Gu. Integrated Optimization on Task Offloading and Routing for an Mobile Edge Computring Network. Working Paper, 2024.
Minghui Lai, and Yidi Jie. Efficient data valuation for battery charging market based on machine learning models. Working Paper, 2024.
Minghui Lai, and Yimiao Wang. Fair Truckload Freight Matching Algorithm for a Digital Logistics Platform. Working Paper, 2024.
