3 papers
cs.LG2026
Deep Learning for Perishable Inventory Systems with Human Knowledge
Xuan Liao, Zhenkang Peng, Ying Rong
Managing perishable products with limited lifetimes is a fundamental challenge in inventory management, as poor ordering decisions can quickly lead to stockouts or excessive waste.…
stat.ME2025
Synthesizing Evidence: Data-Pooling as a Tool for Treatment Selection in Online Experiments
Zhenkang Peng, Chengzhang Li, Ying Rong +1
Randomized experiments are the gold standard for causal inference but face significant challenges in business applications, including limited traffic allocation, the need for heter…
cs.LG2023
Mostly Beneficial Clustering: Aggregating Data for Operational Decision Making
Chengzhang Li, Zhenkang Peng, Ying Rong
With increasingly volatile market conditions and rapid product innovations, operational decision-making for large-scale systems entails solving thousands of problems with limited d…