3 papers
cs.LG2026
PLAN: Parallel Liquid-Inspired Approximation Network for Efficient Representation Learning in Flexible Job Shop Scheduling
Dhivya Dharshini Kannan, Wei Zhang, Jieyi Bi +5
Deep reinforcement learning (DRL) approaches for flexible job shop scheduling (FJSP) heavily rely on attention-centric architectures to achieve state-of-the-art performance. Howeve…
cs.LG2026
ReLA: Representation Learning and Aggregation for Job Scheduling with Reinforcement Learning
Zhengyi Kwan, Wei Zhang, Aik Beng Ng +2
Job scheduling is widely used in real-world manufacturing systems to assign ordered job operations to machines under various constraints. Existing solutions remain limited by long…
cs.CV2024
Nutrition Estimation for Dietary Management: A Transformer Approach with Depth Sensing
Zhengyi Kwan, Wei Zhang, Zhengkui Wang +2
Nutrition estimation is crucial for effective dietary management and overall health and well-being. Existing methods often struggle with sub-optimal accuracy and can be time-consum…