Publications

  1. [L2O, JSP] Graph Assisted Offline-Online Deep Reinforcement Learning for Dynamic Workflow Scheduling,
    Yifan Yang, Gang Chen, Hui Ma, Cong Zhang, Zhiguang Cao, Mengjie Zhang.
    International Conference on Learning Representations (ICLR), 2025. [Paper] [Code]

  2. [EC, JSP] Dual-Tree Genetic Programming With Adaptive Mutation for Dynamic Workflow Scheduling in Cloud Computing,
    Yifan Yang, Gang Chen, Hui Ma, Sven Hartmann, Mengjie Zhang.
    IEEE Transactions on Evolutionary Computation (TEVC), 2024. [Paper] [Cite]

  3. [EC, JSP] Enhancing Generalization in Genetic Programming Hyper-Heuristics through Mini-Batch Sampling Strategies for Dynamic Workflow Scheduling,
    Yifan Yang, Gang Chen, Hui Ma, Sven Hartmann, Mengjie Zhang.
    Information Sciences (INS), 2024. [Paper] [Simulator] [Cite]

  4. [EC, JSP] A Model-Driven Machine Learning Approach to Dynamic Multi-Workflow Scheduling,
    Yifan Yang, Hui Ma, Gang Chen, Sven Hartmann.
    International Conference on Conceptual Modeling (ICCM), 2023. [Paper] [Cite]

  5. [EC, JSP] Dual-Tree Genetic Programming for Deadline-Constrained Dynamic Workflow Scheduling in Cloud,
    Yifan Yang, Gang Chen, Hui Ma, Mengjie Zhang.
    International Conference on Service-Oriented Computing (ICSOC), 2022. (Distinguished Paper) [Paper] [Cite]

  6. [EC, JSP] Budget and SLA Aware Dynamic Workflow Scheduling in Cloud Computing with Heterogeneous Resources,
    Yifan Yang, Gang Chen, Hui Ma, Sven Hartmann, Mengjie Zhang, Victoria Huang.
    IEEE Congress on Evolutionary Computation (CEC), 2021. [Paper] [Cite]

  7. [EC, TTP] A Data-Driven Timetable Optimization of Urban Bus Line Based on Multi-Objective Genetic Algorithm,
    Jinjun Tang, Yifan Yang, Wei Hao, Fang Liu, Yinhai Wang.
    IEEE Transactions on Intelligent Transportation Systems (TITS), 2020. [Paper] [Cite]

  8. [EC, TTP] A Hybrid Algorithm for Urban Transit Schedule Optimization,
    Jinjun Tang, Yifan Yang, Yong Qi.
    Physica A: Statistical Mechanics and its Applications (Physica A), 2018. [Paper] [Cite]

  9. [ML, Data] Identifying Critical Nodes in Metro Network Considering Topological Potential: A Case Study in Shenzhen City—China,
    Zhouyang Du, Jinjun Tang, Yong Qi, Yiwei Wang, Chunyang Han, Yifan Yang.
    Physica A: Statistical Mechanics and its Applications (Physica A), 2020. [Paper] [Cite]