关于我

武士裕现为加拿大蒙特利尔康考迪亚大学 Concordia Institute for Information Systems Engineering (CIISE) 博士研究生。他本科和硕士毕业于中国西南大学人工智能学院。

他的研究兴趣聚焦于城市出行与智能协作系统，重点关注按需出行、数字孪生，以及大语言模型在城市规划中的应用。他结合 E-CARGO 建模框架与基于仿真的优化方法，研究多智能体系统中的复杂任务分配与协同问题。

武士裕获得 FRQNT 博士研究奖学金（2026）。他的研究发表于 IEEE Transactions on Systems, Man, and Cybernetics: Systems 等期刊，并多次在 CSCWD 等国际会议展示工作。

兴趣爱好
  • 基于角色的协作
  • E-CARGO
  • 数字孪生
  • 基于仿真的优化
  • 按需出行
教育经历

  • 信息与系统工程博士, 2025.09 至今

    康考迪亚大学

  • 计算机科学与技术硕士, 2023.09-2025.06

    西南大学

  • 智能科学与技术学士, 2019.07-2023.06

    西南大学

E-CARGO 论文

2025

  1. Shiyu Wu, Shenglin Li, Haibin Zhu, Rui Chen, Libo Zhang*, Group Role Three-Way Assignment for Managing Uncertainty in Role Negotiation[J]. IEEE Transactions on Cybernetics, 2025, 55(6): 2924-2936. 中科院一区 TOP.
  2. Shiyu Wu, Shenglin Li, Haibin Zhu, Tianxing Wang, Libo Zhang*, Group Multirole Assignment With General Conflict[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2025, 55(6): 4188-4201. 中科院一区 TOP.

2024

  1. Libo Zhang, Zhihang Yu, Shiyu Wu, Haibin Zhu, Yin Sheng*. Adaptive collaboration with training plan considering role correlation[J]. IEEE Transactions on Computational Social Systems, 2024, 11(1): 25-37.
  2. Meiqiao Pan, Yanyan Fan, Shiyu Wu, Libo Zhang*. Group Role Assignment with Trust Between Agents[C]. Computer Supported Cooperative Work and Social Computing (ChineseCSCW 2023), 2024: 133-147.
  3. Xiangjun Liu; Shiyu Wu; Ruisi Yang; Libo Zhang, GRATP Model Based on Comprehensive Training Cost: Solving Collaboration Problems in Real-World Scenario[J]. IEEE Systems, Man, and Cybernetics Magazine, 2024, 10(3): 14-21.

2023

  1. Shiyu Wu, Meiqiao Pan, Yanyan Fan, Shenglin Li, Libo Zhang*. Group Role Assignment with a Training Plan Considering the Duration in Adaptive Collaboration[C]. 2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2023: 739-744.

2022

  1. Cong Guo, Shiyu Wu, Haibin Zhu, Yin Sheng, Libo Zhang*. Adaptive Collaboration with a Training Plan[C]. 2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2022: 389-394.