Zhuoli Yin

Zhuoli Yin

Purdue University

Welcome to my homepage! đź‘‹

I am a final-year Ph.D. Candidate in Industrial Engineering at Purdue University, working with Prof. Hua Cai in the uSMART group. My advisory committee includes Prof. Stephan Biller, Prof. Young-Jun Son, Prof. Reem Khir, and Prof. Yi Ding.

Previously, I earned my MS (2021) in Industrial Engineering from Purdue University advised by Prof. Hua Cai; and I obtained my BE (2019) in Electronic and Information Engineering from Beihang University advised by Prof. Xiaoqian Sun and Prof. Sebastian Wandelt. I also worked with Dr. Massimiliano Zanin as an undergraduate researcher at Polytechnic University of Madrid from 02/2019 to 05/2019.

My research focuses on fusing operations research (OR) and responsible AI/ML to develop decision intelligence systems. My work is particularly motivated by applications in urban transportation, e-commerce, and supply chains. During my PhD study, I have gained full-lifecycle experience in both Generative AI and Machine Learning system design and deployment, spanning shared mobility rebalancing, resilient middle-mile network design, automatic life-cycle assessment, and intelligent tutoring systems.

My research agenda and teaching experiences are summarized below.

research_teaching_summary

[CV (Feb-18-2026)]

🚀 If you are interested in collaborating on these exciting topics, please feel free to reach out.

🔥 News

đź’» Internships

  • 06/2025 - 09/2025, Amazon.com, Applied Scientist Intern, New York, NY.
    • Global Transportation Services, hosted by Dr. Golnush Amoli & Hana Ku
    • Developed Amazon’s next-generation AI-driven tools to advance resilient and dynamic transportation network design.
    • Led the full lifecycle from conceptualization, multi-source data analysis, large-scale simulation, AI model training, and minimum viable product delivery.

đź“ť Publications

  • Just Accepted 2026 ViTSP: A Vision Language Models Guided Framework for Large-Scale Traveling Salesman Problems
    Zhuoli Yin, Yi Ding, Reem Khir, & Hua Cai đź“„ Paper
    ICLR’26: The 14th International Conference on Learning Representations
  • Just Accepted 2026 Arthur: An Artificial Intelligence Powered Teaching Assistant System for Engineering Economics Class
    Zhuoli Yin, Erhan Karakaya, Kalei Bass, & Hua Cai
    International Journal of Artificial Intelligence in Education. 2026.
  • Preprint 2025 DeepBike: A Deep Reinforcement Learning Based Model for Large-scale Online Bike Share Rebalancing
    Zhuoli Yin, Zhaoyu Kou, & Hua Cai đź“„ Paper
  • Enhanced global oil spill dataset from 1967 to 2023 based on text-form incident information
    Yiming Liu, Zhuoli Yin, & Hua Cai
    Scientific Data, 12(1), 1-14. 2025. đź“„ Paper
  • Understanding the Demand Predictability of Bike Share Systems: A Station-Level Analysis
    Zhuoli Yin, Kendrick Hardaway, Yu Feng, Zhaoyu Kou, & Hua Cai
    Frontiers of Engineering Management, 1-15. 2023. đź“„ Paper
  • A Deep Reinforcement Learning Model for Large-Scale Dynamic Bike Share Rebalancing with Spatial-Temporal Context
    Zhuoli Yin, Zhaoyu Kou, & Hua Cai
    The 12th International Workshop on Urban Computing. 2023. đź“„ Paper

🎖 Selected Awards

  • 05/2025 IISE Doctoral Colloquium (3 participants nominated per department)
  • 05/2025 NSF IISE Annual Conference Student Travel Award
  • 10/2024 2024-2025 IISE Future Faculty Fellow (15 participants selected per year)
  • 10/2023 2023-2024 Lee A. Chaden Fellowship in Industrial Engineering, Purdue University
  • 05/2023 Graduate School Summer Research Grant, Purdue University
  • 09/2022 Honorable Mention Poster Award, Purdue Engineering Graduate Showcase

đź“š Teaching

  • Graduate Lecturer, Purdue IE 343: Engineering Economics, Fall 2023 (150 students)
  • Guest Lecturer, Purdue EEE 560: Environmental Data Science, Fall 2024
  • Teaching Assistant, Purdue IE 343: Engineering Economics, Fall 2021 - Fall 2025 (10 sessions in total)
  • Teaching Assistant, Purdue IE 590/EEE 595: Urban Mobility Optimization, Spring 2024

🔍 Mentorship

Undergraduate Students

  • Laura Almeida Tinjaca (National University of Colombia-Purdue Program)
  • Quan The Dinh (Purdue, Computer Science)
  • Karen Fortunat (Purdue, Industrial Engineering)
  • Kalei Bass (Purdue, Industrial Engineering)

đź’Ş Services

Selected Internal Service at Purdue

  • 10/2023 - 12/2023: Student representative on the faculty search committee
  • 05/2022 - 05/2023: Vice President, Industrial Engineering Graduate Student Organization (IEGSO)

Selected External Service to Professional Societies

  • 09/2023: Support team, 2023 Purdue Research Symposium on Operations
  • 05/2022: Session chair, IISE Annual Conference & Expo 2022

Conference Reviewer

  • Transportation Research Board Annual Meeting (TRB) 2026
  • Neural Information Processing Systems (NeurIPS) 2025
  • International Symposium for Sustainable Systems and Technology (ISSST) 2024

Journal Reviewer

  • Journal of Cleaner Production
  • Networks and Spatial Economics