6 papers
Learning-Assisted Congestion-Aware Route Scheduling for Semiconductor Fab Material Control Systems
Hao Yin, Meiqi Tu, Anbang Liu +2
Automated material handling systems in semiconductor fabs are operated by a material control system (MCS) that must schedule a relay route for every transport command online, befor…
Trajectory-Initialized Neural Double Q-Routing for Large-Scale Overhead Hoist Transport Systems
Cheng Gu, Qiusheng Zhao, Anbang Liu +2
Large-scale industrial robot fleets share constrained physical infrastructure, making vehicle travel times dependent on safety separation, intersection access, downstream blocking,…
Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models
Liang Guo, Lin Shaochong, Shen Zuo-Jun Max +1
Deploying large language models (LLMs) for operations research (OR) tasks remains challenging because correctness depends on a coherent modeling process, not merely a correct final…
Machine Learning for Scheduling Decision Systems: A Critical Review of Architecture, Assurance, and Deployment
Anbang Liu, Shaochong Lin, Jingchuan Chen +2
Machine learning supports scheduling through prediction, search guidance, or schedule formation, but model-level evaluations obscure the downstream work, technical authority, and c…
Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm
Yunhao Liang, Pujun Zhang, Yuan Qu +3
The pretrain-transfer paradigm, which underpins the success of large language models (LLMs), has demonstrated the immense power of creating foundation models that learn generalizab…
Everyone Contributes! Incentivizing Strategic Cooperation in Multi-LLM Systems via Sequential Public Goods Games
Yunhao Liang, Yuan Qu, Jingyuan Yang +2
Coordinating multiple large language models (LLMs) to solve complex tasks collaboratively poses a fundamental trade-off between the computation costs and collective performance com…