Bowen Fang

Ph.D. Student at Columbia University.

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I am a Ph.D. student at Columbia University , where I work with the Data Science Institute (Smart Cities Center). My research centers on understanding the behaviors behind post-training algorithms for large models, evaluating system resilience, and studying how agents can bootstrap meaningful search and competence in huge spaces with sparse signal and minimal useful prior structure.

I am a two-time Applied Scientist Intern at AWS AI , where my work centers on post-training for large models.

I hold an M.S. in Operations Research from Columbia University and a Bachelor in Big Data Management and Applications, minor in Economics from Peking University .

This website serves as a central hub for my publications, projects, and professional activities.

news

Apr 26, 2026 I will return to Amazon Bedrock this summer as an Applied Scientist Intern on the Model Customization team.
May 27, 2025 I will be starting my Applied Scientist Internship at AWS AI Labs this summer!
May 20, 2025 I am honored to be a winner of the CS3 VALIDATE Accelerator program, which will provide continued funding for our work SINA.
Mar 06, 2025 Our paper, Efficient Consistency Model Training for Policy Distillation in Reinforcement Learning, was accepted to the ICLR 2025 DeLTa Workshop as a poster presentation.
Aug 01, 2024 I am excited to begin my Ph.D. studies at Columbia University.

latest posts

selected publications

  1. Decaying Budget Forcing: A Simple and Effective Reinforcement Learning Approach for Balancing Accuracy and Capacity in Mathematical Reasoning
    Bowen Fang, Hengzhi Pei, and Leonard Lausen
    In submission, 2026
  2. mr_overview_v2.png
    Do Math Reasoning LLMs Help Predict the Impact of Public Transit Events?
    Bowen Fang, Ruijian Zha, and Xuan Di
    Under review at Transportation Research Part C (Special Issue: Foundation Models and Large Language Models in Urban Mobility), 2025
    arXiv preprint
  3. Survey of Reasoning-Based Autonomous Driving in Mixed Traffic: An Offline–Online Two-Loop Perspective
    Bowen Fang and Xuan Di
    Under review at IEEE Transactions on Intelligent Transportation Systems (Special Issue: AI-Empowered Automated Driving in Mixed Traffic: From Sensing, Perception, to Planning and Control), 2026
  4. algo_efficient.png
    Efficient Consistency Model Training for Policy Distillation in Reinforcement Learning
    Bowen Fang and Xuan Di
    In ICLR 2025 Workshop on Deep Generative Model in Machine Learning: Theory, Principle and Efficacy, 2025
  5. nts_b.png
    SLAMuZero: Plan and learn to Map for Joint SLAM and Navigation
    Bowen Fang, Xu Chen, Zhengkun Pan, and 1 more author
    In Proceedings of the International Conference on Automated Planning and Scheduling, 2024
  6. flow_appendix.png
    Learn to Tour: Operator Design for Solution Feasibility Mapping in Pickup-and-delivery Traveling Salesman Problem
    Bowen Fang, Xu Chen, and Xuan Di
    In Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC), 2025
  7. travellm_multi_routes.png
    TraveLLM: Could you plan my new public transit route in face of a network disruption?
    Bowen Fang, Zixiao Yang, Shukai Wang, and 1 more author
    In Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC), 2025