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  • 2024

    Collaboration! Towards Robust Neural Methods for Routing Problems

    Zhou, J., Wu, Y. (Corresponding author), Cao, Z., Song, W., Zhang, J. & Shen, Z., 15 Dec 2024, Proceedings of the 38th Conference on Neural Information Processing Systems, NeurIPS 2024. Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. & Zhang, C. (eds.). Curran Associates, p. 121731-121764 34 p. (Advances in Neural Information Processing Systems; vol. 37).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

  • Collaborative Deep Reinforcement Learning for Solving Multi-Objective Vehicle Routing Problems

    Wu, Y., Fan, M., Cao, Z., Gao, R., Hou, Y. & Sartoretti, G., 6 May 2024, AAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 1956-1965 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    1 Citation (Scopus)
    39 Downloads (Pure)
  • Cross-Problem Learning for Solving Vehicle Routing Problems

    Lin, Z., Wu, Y., Zhou, B., Cao, Z., Song, W., Zhang, Y. & Jayavelu, S., 2024, Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024. Larson, K. (ed.). International Joint Conferences on Artificial Intelligence (IJCAI), p. 6958-6966 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Open Access
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    1 Citation (Scopus)
  • MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts

    Zhou, J., Cao, Z., Wu, Y., Song, W., Ma, Y., Zhang, J. & Xu, C., 2024, Proceedings of the 41st International Conference on Machine Learning. PMLR, p. 61804-61824 21 p. (Proceedings of Machine Learning Research; vol. 235).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    9 Downloads (Pure)
  • Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems

    Smit, I. G., Wu, Y. (Corresponding author), Troubil, P., Zhang, Y. & Nuijten, W. P. M., 18 Dec 2024, (Accepted/In press) The 39th Annual AAAI Conference on Artificial Intelligence (AAAI-25). AAAI Press

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    5 Downloads (Pure)
  • 2023

    Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift

    Jiang, Y., Cao, Z., Wu, Y., Song, W. & Zhang, J., 2023, Advances in Neural Information Processing Systems 36 (NeurIPS 2023). Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). 14 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    3 Downloads (Pure)
  • Multi-View Graph Contrastive Learning for Solving Vehicle Routing Problems

    Jiang, Y., Cao, Z., Wu, Y. & Zhang, J., 2023, Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence. Evans, R. J. & Shpitser, I. (eds.). PMLR, p. 984-994 11 p. (Proceedings of Machine Learning Research (PMLR); vol. 216).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    6 Citations (Scopus)
  • Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement

    Chen, J., Zhang, Z., Cao, Z., Wu, Y., Ma, Y., Ye, T. & Wang, J., 2023, Advances in Neural Information Processing Systems 36 (NeurIPS 2023). Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). 13 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    5 Downloads (Pure)
  • Towards Omni-generalizable Neural Methods for Vehicle Routing Problems

    Zhou, J., Wu, Y., Song, W., Cao, Z. & Zhang, J., 2023, Proceedings of the 40th International Conference on Machine Learning. Krause, A., Brunskill, E., Cho, K., Engelhardt, B., Sabato, S. & Scarlett, J. (eds.). PMLR, p. 42769-42789 21 p. (Proceedings of Machine Learning Research; vol. 202).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    12 Citations (Scopus)
    1 Downloads (Pure)
  • 2022

    Graph Learning Assisted Multi-Objective Integer Programming

    Wu, Y., Song, W., Cao, Z. & Zhang, J., 2022, Advances in Neural Information Processing Systems 35 (NeurIPS 2022). p. 17774-17787 14 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Open Access
  • Learning to Solve Routing Problems via Distributionally Robust Optimization

    Jiang, Y., Wu, Y., Cao, Z. & Zhang, J., 2022, 36th AAAI Conference on Artificial Intelligence. AAAI Press, p. 9786-9794 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Open Access
    24 Citations (Scopus)
  • 2021

    Learning Large Neighborhood Search Policy for Integer Programming

    Wu, Y., Song, W., Cao, Z. & Zhang, J., 2021, Advances in Neural Information Processing Systems 34 (NeurIPS 2021). p. 30075-30087 13 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Open Access
    26 Citations (Scopus)