7 papers
Conformal Robustness in Prediction-Driven Decision-Making
Lingjie Zhao, Hansheng Jiang, Wei Qi
Modern prediction-driven decision systems often rely on black-box predictors, but a point forecast alone does not provide the uncertainty scale required for robust downstream decis…
SSPO: Structure-Aware Similarity-Weighted Preference Optimization for Neural Combinatorial Optimization
Yuanyu Li, Jintao Xu, Zijiang Liu +6
Neural combinatorial optimization (NCO) relies on parallel solution sampling for training, yet existing methods fail to fully exploit the rich information latent in a co-sampled so…
DualCert: A Solver for the Traveling Salesman Problem with Constraint-Coupled Learning
Yancheng Song, Yongzhi Qi, Wei Qi +1
Large traveling salesman problem (TSP) instances require a solver to allocate limited computation while preserving the validity of its outputs. Existing neural--operations-research…
SPORD: A Simulation-Propose-then-OR-Dispose Approach for Supply Chain Planning
Jiayin He, Yutong Pan, Sen Yang +5
For years, supply chain planning at e-commerce firms has operated as a collection of isolated projects. Each planning task from static network planning to dynamic warehouse assortm…
ORPR: An OR-Guided Pretrain-then-Reinforce Learning Model for Inventory Management
Lingjie Zhao, Xue Yu, Yongzhi Qi +6
As the pursuit of synergy between Artificial Intelligence (AI) and Operations Research (OR) gains momentum in handling complex inventory systems, a critical challenge persists: how…
Rethinking Supply Chain Planning: A Generative Paradigm
Jiaheng Yin, Yongzhi Qi, Jianshen Zhang +5
Supply chain planning is the critical process of anticipating future demand and coordinating operational activities across the logistics network. However, within the context of con…
sTransformer: A Modular Approach for Extracting Inter-Sequential and Temporal Information for Time-Series Forecasting
Jiaheng Yin, Zhengxin Shi, Jianshen Zhang +4
In recent years, numerous Transformer-based models have been applied to long-term time-series forecasting (LTSF) tasks. However, recent studies with linear models have questioned t…