Dr. YING Chengshuo (應程鑠)

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Research Output

  1. 2024
  2. Published

    A proximal policy optimization approach for food delivery problem with reassignment due to order cancellation

    Deng, Y., Yan, Y., Chow, A. H. F., Zhou, Z., Ying, C.-S. & Kuo, Y.-H., 15 Dec 2024, In: Expert Systems with Applications. 258, 125045.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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  3. Published

    Adaptive rescheduling of rail transit services with short-turnings under disruptions via a multi-agent deep reinforcement learning approach

    Ying, C., Chow, A. H. F., Yan, Y., Kuo, Y.-H. & Wang, S., Oct 2024, In: Transportation Research Part B: Methodological. 188, 103067.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 1
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  4. Published

    Adaptive scheduling of mixed bus services with flexible fleet size assignment under demand uncertainty

    Chow, A. H. F., Li, G.-Y. & Ying, C.-S., Jan 2024, In: Transportation Research Part C: Emerging Technologies. 158, 104452.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 3
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  5. 2023
  6. Published

    A policy gradient approach to solving dynamic assignment problem for on-site service delivery

    Yan, Y., Deng, Y., Cui, S., Kuo, Y.-H., Chow, A. H. F. & Ying, C., Oct 2023, In: Transportation Research Part E: Logistics and Transportation Review. 178, 103260.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 4
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  7. 2022
  8. Published

    Adaptive Metro Service Schedule and Train Composition With a Proximal Policy Optimization Approach Based on Deep Reinforcement Learning

    Ying, C.-S., Chow, A. H. F., Wang, Y.-H. & Chin, K.-S., Jul 2022, In: IEEE Transactions on Intelligent Transportation Systems. 23, 7, p. 6895-6906

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 32
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  9. Published

    Multi-agent deep reinforcement learning for adaptive coordinated metro service operations with flexible train composition

    Ying, C.-S., Chow, A. H. F., Nguyen, H. T. M. & Chin, K.-S., Jul 2022, In: Transportation Research Part B: Methodological. 161, p. 36-59

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 34
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  10. Published

    Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities

    Yan, Y., Chow, A. H. F., Ho, C. P., Kuo, Y.-H., Wu, Q. & Ying, C., Jun 2022, In: Transportation Research Part E: Logistics and Transportation Review. 162, 102712.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 80
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  11. 2021
  12. Published

    Pareto routing and scheduling dynamic urban rail transit services with multi-objective cross entropy method

    Nguyen, H. T. M., Chow, A. H. F. & Ying, C.-S., Dec 2021, In: Transportation Research Part E: Logistics and Transportation Review. 156, 102544.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 14
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  13. Published

    Matching daily home health-care demands with supply in service-sharing platforms

    Lin, M., Ma, L. & Ying, C., Jan 2021, In: Transportation Research Part E: Logistics and Transportation Review. 145, 102177.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 30
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  14. 2020
  15. Published

    An actor-critic deep reinforcement learning approach for metro train scheduling with rolling stock circulation under stochastic demand

    Ying, C.-S., Chow, A. H. F. & Chin, K.-S., Oct 2020, In: Transportation Research Part B: Methodological. 140, p. 210-235

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 62
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  16. Published

    基于累积前景理论的物流方案选择方法

    李延来 & 应程铄, May 2020, In: 系统管理学报. 29, 3, p. 608-615

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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  17. 2018
  18. Published

    Third-party reverse logistics provider selection approach based on hybrid-information MCDM and cumulative prospect theory

    Li, Y.-L., Ying, C.-S., Chin, K.-S., Yang, H.-T. & Xu, J., 10 Sept 2018, In: Journal of Cleaner Production. 195, p. 573-584

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 80
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  19. Published

    A New Product Development Concept Selection Approach Based on Cumulative Prospect Theory and Hybrid-Information MADM

    Wang, Y., Li, Y., Ying, C. & Chin, K., 16 Aug 2018, In: IOP Conference Series: Materials Science and Engineering. 381, 1, 012133.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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  20. Published

    A new product development concept selection approach based on cumulative prospect theory and hybrid-information MADM

    Ying, C.-S., Li, Y.-L., Chin, K.-S., Yang, H.-T. & Xu, J., Aug 2018, In: Computers and Industrial Engineering. 122, p. 251-261

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 53
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