Author

Wei Zhang

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Book Open access Sep 2026

ReLA: Representation Learning and Aggregation for Scalable Job Scheduling with Reinforcement Learning

ReLA is an RL scheduler built on structured representation learning and aggregation that learns intra-entity representations using self-attention and convolution, captures inter-entity operation–machine interactions using cross-attention, and aggregates multi-scale representations for parallel actor-based scoring of fe...

Zheng-Yi Kwan, Wei Zhang, Aik Beng Ng et al. · Proceedings of the Internati... · 0 citations

#reinforcement learning Book Open access Sep 2026

ReLA: Representation Learning and Aggregation for Scalable Job Scheduling with Reinforcement Learning

Large-scale job scheduling is a classic problem in computing systems and industrial operations, where complex workloads, workflows, or ordered job operations must be assigned to computing nodes or machines under resource, precedence, and availability constraints. Existing solvers can provide useful reference solutions,...

Zheng-Yi Kwan, Wei Zhang, Aik Beng Ng et al. · Proceedings of the Internati... · 0 citations

Preprint Aug 2026

PLAN: Parallel Liquid-Inspired Approximation Network for Efficient Representation Learning in Flexible Job Shop Scheduling

This work proposes PLAN (Parallel Liquid-inspired Approximation Network), a lightweight representation learning framework that reformulates continuous liquid-state dynamics into a discretized and parallelizable formulation and acts as a versatile, plug-and-play backbone that generalizes to complex FJSP variants.

D. D. Kannan, Wei Zhang, Jieyi Bi et al. · 0 citations