Publications

Published Papers

• Dazhou Lei, Yongzhi Qi, Sheng Liu, Dongyang Geng, Jianshen Zhang, Hao Hu, & Zuo-Jun Max Shen. (2024). Pooling and Boosting for Demand Prediction in Retail: A Transfer Learning Approach. Manufacturing & Service Operations Management.
  • Finalist, M&SOM Practice-Based Research Competition, 2023
  • Finalist, INFORMS Data Mining Best Paper Award, 2023
• Dazhou Lei, Hao Hu, Dongyang Geng, Jianshen Zhang, Yongzhi Qi, Sheng Liu, & Zuo-Jun Max Shen. (2023). New product life cycle curve modeling and forecasting with product attributes and promotion: A Bayesian functional approach. Production and Operations Management.
  • Accepted to the 16th INFORMS Workshop on Data Mining and Decision Analytics

Papers Under Revision

The asterisk (*) indicates the corresponding author.

• Yujie Chi, Dazhou Lei*, Jianshen Zhang, Yongzhi Qi, Hao Hu, Li Zheng, & Zuo-Jun Max Shen. Demand Forecasting during Grand Promotion for Online Retailing (Minor Revision at Operations Research).
• Yujie Chi, Dazhou Lei*, Jianshen Zhang, Yongzhi Qi, Hao Hu, Li Zheng, & Zuo-Jun Max Shen. Bridging Historical Data and Future Markets: An Optimal Transport Policy for Demand Forecasting (Minor Revision at Management Science).
  • Third Place, POMS-China Best Paper Award, 2025
• Genshen Fu, Dazhou Lei*, Pujun Zhang, Wei Qi, & Zuo-Jun Max Shen. Learning for Guiding: A Pairwise Inverse Reinforcement Learning Framework for Last-Mile Deliveries (Major Revision at Management Science).
  • Finalist, POMS College of Service Operations Best Student Paper Competition, 2024
  • Third Place, POMS-China Best Paper Award, 2024
  • Third Place, CSAMSE Best Paper Award, 2024
  • Runner-up, INFORMS Decision Analysis Society Student Paper Award, 2024
• Dazhou Lei, Sheng Liu, Dongyang Geng, Jianshen Zhang, Yongzhi Qi, & Hao Hu. Stockouts, Pageviews, and Data Imputation: Implications for Managing Long-Tail Products. (Major Revision at Manufacturing & Service Operations Management).
• Yujie Chi & Dazhou Lei*. The Price of Digital Compassion: Exposing and Managing Latent Risks in AI Survey Augmentation (R&R at Information System Research).
• Yongzhi Qi, Hao Hu, Dazhou Lei*, Jianshen Zhang, Zhengxin Shi, Yulin Huang, Zhengyu Chen, Xiaoming Lin, & Zuo-Jun Max Shen. TimeHF: Billion-Scale Time Series Models Guided by Human Feedback (Minor Revision at OMEGA).
• Genshen Fu, Dazhou Lei*, Xinyu Jiang, Wei Qi, & Zuo-Jun Max Shen. Running on Empty? Reference Dependence and V-Shaped Decisions in Shared E-Bike User Choice (Under review at Manufacturing & Service Operations Management).

Working Papers

• Optimizing Influencer Marketing Campaign: A Joint Approach to Influencer Selection and Traffic Promotion. (with Pujun Zhang).