Publications



[1] Shijie Cao, Y. Yuan*, J. Liu — DynaSchedBench: Calibrated Dynamic Scheduling Benchmarks and Observability Paradox in LLM-based Scheduling Agents, Proceedings of the 43rd International Conference on Machine Learning (ICML), 2026. [Project Page] [paper]
[2] Shijie Cao, Y. Yuan*, J. Liu — Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling, International Joint Conference on Artificial Intelligence (IJCAI), 2026. [Python code] [paper]
[3] Shijie Cao, Y. Yuan*, J. Liu — ReflecSched: Solving Dynamic Flexible Job-Shop Scheduling via LLM-Powered Hierarchical Reflection, 2025. [After accepting] [paper]
[4] K. Li, Y. Yuan, H. Yu, T. Guo, Shijie Cao — CoCoEvo: Co-Evolution of Programs and Test Cases to Enhance Code Generation, IEEE Transactions on Evolutionary Computation (TEVC), 2025. [Python code] [paper]
[5] Shijie Cao, Y. Yuan* — A Novel Memetic Algorithm for Energy-efficient Distributed Heterogeneous Flexible Job Shop Scheduling: Case Studies in AAVs Delivery, IEEE Internet of Things Journal, 12(21):43922--43935, 2025. [C++ code] [paper]
[6] Shijie Cao, R. Li, W. Gong*, C. Lu — Inverse Model and Adaptive Neighborhood Search Based Cooperative Optimizer for Energy-efficient Distributed Flexible Job Shop Scheduling, Swarm and Evolutionary Computation, 83:101419, 2023. [Matlab code] [paper]