Ming Hu, Shreyas Sekar, and Tongwen Wu. Philosopher Inequality for Online Assortment Optimization. [ssrn]
Extended abstract in the Proceedings of the 27th ACM Conference on Economics and Computation (EC '26)
Ming Hu, Yanzhi Li, and Tongwen Wu. Diversity-Fair Online Selection. R&R at Operations Research. [arXiv]
Tongwen Wu, Woonghee Tim Huh, Menglong Li, and Yanzhi Li. Multi-Purchase Markov Choice Model: Estimation and Assortment Optimization. Under review.
Qiaochu Fu, Woonghee Tim Huh, Yanzhi Li, and Tongwen Wu. Joint Inventory and Assortment Optimization under General Choice Models. Under minor revision at Operations Research. [ssrn]
Ming Hu, Tongwen Wu. Constant-Factor Algorithms for Revenue Management with Consecutive Stays. Accepted at Operations Research.[arXiv]
Tongwen Wu, Zuo-Jun Max Shen, and Yanzhi Li. Anticipatory Packing. Accepted at Manufacturing & Service Operations Management.
• Ming Hu, Shreyas Sekar, and Tongwen Wu. Philosopher Inequality for Online Assortment Optimization. Proceedings of the 27th ACM Conference on Economics and Computation (EC '26)
• Tongwen Wu, Yu Yang, Yanzhi Li, Huiqiang Mao, Liming Li, Xiaoqing Wang, and Yuming Deng. Representation Learning for Predicting Customer Orders. ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD ’21). 2021. pp. 3735–3744.
• Tongwen Wu, Zizhen Zhang, Yanzhi Li, and Jiahai Wang. Collective Mobile Sequential Recommendation: A Recommender System for Multiple Taxicabs. International Conference on Tools with Artificial Intelligence (ICTAI). 2019. pp. 1260-1264
• Tongwen Wu, Huiqiang Mao, Yanzhi Li, and Di Chen. Assortment Selection for a Frontend Warehouse: A Robust Data-Driven Approach. International Conference on Computers and Industrial Engineering (CIE 2019). 2019.