Tongwen Wu

Publications and working papers

Research

My research develops algorithms and data-driven methods for operational decisions under uncertainty, with applications in revenue management, assortment and inventory planning, online platforms, and fulfillment.

α–β Authors are listed alphabetically.

Working papers

  1. Joint Inventory and Assortment Optimization under General Choice Models

    Qiaochu Fu, Woonghee Tim Huh, Yanzhi Li, and Tongwen Wu. α–β

    Under minor revision at Operations Research.

    SSRN

  2. Philosopher Inequality for Online Assortment Optimization

    Ming Hu, Shreyas Sekar, and Tongwen Wu. α–β

    Extended abstract in the Proceedings of the 27th ACM Conference on Economics and Computation (EC ’26).

    Under review at Operations Research.

    SSRN

  3. Diversity-Fair Online Selection

    Ming Hu, Yanzhi Li, and Tongwen Wu. α–β

    Reject and resubmit at Operations Research.

    arXiv

  4. A Sequential Multi-Purchase Markov Chain Choice Model: Identification, Estimation and Assortment Optimization

    Tongwen Wu, Woonghee Tim Huh, Menglong Li, and Yanzhi Li.

    Under major revision at Manufacturing & Service Operations Management.

Journal papers

  1. Constant-Factor Algorithms for Revenue Management with Consecutive Stays

    Ming Hu and Tongwen Wu. α–β

    Accepted at Operations Research.

    arXiv

  2. Anticipatory Packing

    Tongwen Wu, Zuo-Jun Max Shen, and Yanzhi Li.

    Published online in Manufacturing & Service Operations Management.

    INFORMS

Conference papers

  1. Philosopher Inequality for Online Assortment Optimization

    Ming Hu, Shreyas Sekar, and Tongwen Wu. α–β

    Proceedings of the 27th ACM Conference on Economics and Computation (EC ’26).

    SSRN

  2. Representation Learning for Predicting Customer Orders

    Tongwen Wu, Yu Yang, Yanzhi Li, Huiqiang Mao, Liming Li, Xiaoqing Wang, and Yuming Deng.

    ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD ’21), pp. 3735–3744, 2021.

    DOI

  3. Collective Mobile Sequential Recommendation: A Recommender System for Multiple Taxicabs

    Tongwen Wu, Zizhen Zhang, Yanzhi Li, and Jiahai Wang.

    IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp. 1260–1264, 2019.

    arXiv

  4. Assortment Selection for a Frontend Warehouse: A Robust Data-Driven Approach

    Tongwen Wu, Huiqiang Mao, Yanzhi Li, and Di Chen.

    International Conference on Computers and Industrial Engineering (CIE 2019), 2019.

    Proceedings

For a concise record of appointments, education, and publications, see my curriculum vitae.