LIU Hong (劉弘)

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Research Output

  1. 2023
  2. Published

    Solving Dynamic Traveling Salesman Problems With Deep Reinforcement Learning

    Zhang, Z., Liu, H., Zhou, M. & Wang, J., Apr 2023, In: IEEE Transactions on Neural Networks and Learning Systems. 34, 4, p. 2119-2132

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

    Scopus citations: 25
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  3. 2022
  4. Published

    A bilateral branch learning paradigm for short term wind power prediction with data of multiple sampling resolutions

    Liu, H. & Zhang, Z., 20 Dec 2022, In: Journal of Cleaner Production. 380, Part 1, 134977.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

    Scopus citations: 1
    Check@CityULib
  5. Online published

    A Bi-party Engaged Modeling Framework for Renewable Power Predictions with Privacy-preserving

    Liu, H. & Zhang, Z., 23 Nov 2022, (Online published) In: IEEE Transactions on Power Systems.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

    Check@CityULib
  6. 2021
  7. Published

    Solving Time-Dependent Traveling Salesman Problem with Time Windows with Deep Reinforcement Learning

    Wu, G., Zhang, Z., Liu, H. & Wang, J., Oct 2021, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, p. 558-563 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).

    Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review

    Scopus citations: 2
    Check@CityULib