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Shi Ying

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#machine learning Preprint Sep 2026

HiGFRL: Hierarchical Graph Fusion-Driven Reinforcement Learning for Dependency-Aware Task Scheduling in Heterogeneous Cloud

This work proposes HiGFRL, a Hierarchical Graph Fusion-Driven Reinforcement Learning framework, which designs a fusion-driven dual-network architecture to optimize RL decision-making and incorporates a topology-prior-guided hybrid reward mechanism that distills static topological priors into the learning process to acc...

Tiangang Li, Shi Ying, Xiangbo Tian · 0 citations
#machine learning Preprint Sep 2026

MCRL2: Multi-resource Cross-attention-based Representation Learning-augmented Reinforcement Learning for Cloud Microservice Scheduling

This work proposes MCRL2, a novel reinforcement learning approach augmented with multi-resource cross-attention-based representation learning for microservice scheduling that significantly outperforms existing baselines in load balancing, scheduling success rate and average completion time across diverse workload patte...

Tiangang Li, Shi Ying, Xiangbo Tian et al. · 0 citations

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