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Author

Jia Zhang

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Conference Aug 2026

Structure-Aware Graph Reinforcement Learning for Dynamic Flexible Job Shop Scheduling with Insertions

Dynamic flexible job shop scheduling (DFJSP) with job insertions is a representative challenge in modern manufacturing systems, where dispatching decisions must continuously adapt to evolving shop-floor states. In such event-driven settings, effective reinforcement learning hinges on state representations that can simu...

Hong-Yao Ma, Jing-Ye Bi, Haitao Yuan et al. · 0 citations
Conference Aug 2026

Objective-Specific Multi-Agent Reinforcement Learning for Dynamic Multi-Objective Cooperative Optimization in Industrial Processes

Dynamic industrial processes operate in time-varying environments with conflicting objectives, making realtime optimization difficult. Traditional scalarization methods use fixed objective weights and fail when conditions change. Evolutionary multi-objective algorithms can approximate the Pareto front but are too compu...

Mei-Fang Zhang, Jing-Ye Bi, Jiahui Zhai et al. · 0 citations
Review Open access Jul 2026

Towards a Unified Framework for Large–Small Model Collaboration in Cloud–Edge Systems

This survey focuses on how cloud-side large models and edge-side small models share, update, and coordinate knowledge and identifies open challenges for trustworthy, sustainable, and self-evolving cloud–edge collaborative intelligence.

Yaxi Yang, Jing-Ye Bi, Haitao Yuan et al. · 0 citations

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