| Reinforcement Learning for Logistics and Supply Chain Management: Methodologies, State of the Art, and Future Opportunities Y Yan, AHF Chow, CP Ho, YH Kuo, Q Wu, C Ying State of the Art, and Future Opportunities (October 4, 2021), 2021 | 122 | 2021 |
| Third-party reverse logistics provider selection approach based on hybrid-information MCDM and cumulative prospect theory YL Li, CS Ying, KS Chin, HT Yang, J Xu Journal of Cleaner Production 195, 573-584, 2018 | 110 | 2018 |
| An actor-critic deep reinforcement learning approach for metro train scheduling with rolling stock circulation under stochastic demand C Ying, AHF Chow, KS Chin Transportation Research Part B: Methodological 140, 210-235, 2020 | 68 | 2020 |
| A new product development concept selection approach based on cumulative prospect theory and hybrid-information MADM C Ying, YL Li, KS Chin, HT Yang, J Xu Computers & Industrial Engineering 122, 251-261, 2018 | 60 | 2018 |
| Matching daily home health-care demands with supply in service-sharing platforms M Lin, L Ma, C Ying Transportation Research Part E: Logistics and Transportation Review 145, 102177, 2021 | 39 | 2021 |
| Adaptive metro service schedule and train composition with a proximal policy optimization approach based on deep reinforcement learning CS Ying, AHF Chow, YH Wang, KS Chin IEEE Transactions on Intelligent Transportation Systems 23 (7), 6895-6906, 2021 | 34 | 2021 |
| Multi-agent deep reinforcement learning for adaptive coordinated metro service operations with flexible train composition C Ying, AHF Chow, HTM Nguyen, KS Chin Transportation Research Part B: Methodological 161, 36-59, 2022 | 31 | 2022 |
| Pareto routing and scheduling of dynamic urban rail transit services with multi-objective cross entropy method HTM Nguyen, AHF Chow, C Ying Transportation Research Part E: Logistics and Transportation Review 156, 102544, 2021 | 15 | 2021 |
| A policy gradient approach to solving dynamic assignment problem for on-site service delivery Y Yan, Y Deng, S Cui, YH Kuo, AHF Chow, C Ying Transportation Research Part E: Logistics and Transportation Review 178, 103260, 2023 | 9 | 2023 |
| Adaptive rescheduling of rail transit services with short-turnings under disruptions via a multi-agent deep reinforcement learning approach C Ying, AHF Chow, Y Yan, YH Kuo, S Wang Transportation Research Part B: Methodological 188, 103067, 2024 | 3 | 2024 |
| Adaptive scheduling of mixed bus services with flexible fleet size assignment under demand uncertainty AHF Chow, G Li, C Ying Transportation Research Part C: Emerging Technologies 158, 104452, 2024 | 2 | 2024 |
| Logistics Scheme Selection Method Based on Cumulative Prospect Theory LI Yanlai, Y Chengshuo Journal of Systems & Management 29 (3), 608, 2020 | 1 | 2020 |
| A proximal policy optimization approach for food delivery problem with reassignment due to order cancellation Y Deng, Y Yan, AHF Chow, Z Zhou, C Ying, YH Kuo Expert Systems with Applications 258, 125045, 2024 | | 2024 |
| Evaluation approach of logistics schemes based on multi-format information LI Yanlai, Y Chengshuo | | |
Andy H F ChowSystems Engineering, City University of Hong Kong在 cityu.edu.hk 的电子邮件经过验证
