4 papers
KC-BFPRL: Knowledge-Guided Multi-UAV Collaboration for Grassland Restoration via Bilevel Formerpointer-Based Reinforcement Learning
Dongbin Jiao, Xianyi Wang, Yuchen Yuan +5
Multi-unmanned aerial vehicle (UAV) systems provide scalable service platforms for large-scale environmental tasks, such as grassland ecosystem restoration. However, coordinating f…
Closed-Loop Decision-Focused Learning for User-Aware Cloud Orchestration under Uncertainty
Dongbin Jiao, Xubo Zhang, Huakang Lin +2
Time-varying cloud workloads often cause resource under-utilization during off-peak periods and resource contention during peak periods. Existing prediction-then-optimization (PTO)…
OD-Gear: Online Decomposition and Group Sampling for Expert-Guided Adversarial Routing in Scalable Capacitated Vehicle Routing
Dongbin Jiao, Zisheng Chen, Xianyi Wang +3
Solving large-scale capacitated vehicle routing problems (CVRP) is hindered by the high complexity of classical heuristics and the limited generalization of neural solvers. To brid…
A UAV-Enabled Time-Sensitive Data Collection Scheme for Grassland Monitoring Edge Networks
Dongbin Jiao, Zihao Wang, Wen Fan +4
Grassland monitoring is essential for the sustainable development of grassland resources. Traditional Internet of Things (IoT) devices generate critical ecological data, making dat…