Portrait of Zhuoli Yin

Zhuoli Yin

Assistant Professor, Industrial Engineering Program Department of Mechanical Engineering, University of South Carolina

I build AI-augmented optimization systems for transportation, logistics, and sustainable computing, carrying the work from problem formulation and algorithm design to large-scale simulation and deployment. I lead the Yin Research Lab at USC.

I received my Ph.D. and M.S. in Industrial Engineering from Purdue University, advised by Prof. Hua Cai, and my B.E. in Electronic and Information Engineering from Beihang University.

Research

Our lab works where operations research meets responsible AI. We study how intelligent decision systems generalize to new conditions, operate under finite computational budgets, and deliver net sustainability benefits when deployed at scale.

  • AI + optimization

    Learning-augmented and generative-AI methods for combinatorial optimization and sequential decision-making.

  • Mobility + logistics

    Data-driven planning and operations for shared mobility, urban transportation, e-commerce, and supply chains.

  • Sustainable AI systems

    Life-cycle evaluation and system design that account for the environmental costs and benefits of AI.

Overview of the lab's research methodology, application areas, responsible AI work, and teaching philosophy

More about our research

News

Earlier news
  • I joined Amazon as an applied scientist intern in New York City.

  • I presented three works at the IISE Annual Conference 2025.

  • I received a Graduate Research Grant from Purdue’s Institute for a Sustainable Future to support my research on the carbon footprint of AI models.

  • I passed my Ph.D. preliminary exam.

  • I was selected as a 2024–2025 IISE Future Faculty Fellow, mentored by Prof. Uday Venkatadri.

  • I attended the NSF Workshop on Sustainable Computing at Purdue.

  • I received the 2023–2024 Lee A. Chaden Fellowship in Industrial Engineering at Purdue.

  • Purdue Today featured our story on Arthur, an AI-powered teaching assistant for engineering education.

  • I lectured IE 343 Engineering Economics to about 150 undergraduate students.

Selected publications

  • ViTSP: A Vision Language Models Guided Framework for Large-Scale Traveling Salesman Problems

    Zhuoli Yin, Yi Ding, Reem Khir, Hua Cai

    ICLR 2026, International Conference on Learning Representations (ICLR), 2026

  • Arthur: An Artificial Intelligence Powered Teaching Assistant System for Engineering Economics Class

    Zhuoli Yin, Erhan Karakaya, Kalei Bass, Hua Cai

    IJAIED 2026, International Journal of Artificial Intelligence in Education, 2026

  • DeepBike: A Deep Reinforcement Learning Based Model for Large-Scale Online Bike Share Rebalancing

    Zhuoli Yin, Zhaoyu Kou, Hua Cai

    Preprint, Research Square preprint, 2025

  • Enhanced global oil spill dataset from 1967 to 2023 based on text-form incident information

    Yiming Liu, Zhuoli Yin, Hua Cai

    Scientific Data 2025, Scientific Data, 12(1), 2025

All publications or Google Scholar

Industry

Applied Scientist Intern, Amazon

Global Transportation Services, New York, NY, Jun–Sep 2025. Hosted by Dr. Golnush Amoli and Hana Ku.

Developed next-generation AI-driven tools for resilient and dynamic transportation network design, leading the full lifecycle from conceptualization and multi-source data analysis to large-scale simulation, model training, and minimum viable product delivery.

Awards

  • Estus H. and Vashti L. Magoon Research Excellence Award, College of Engineering, Purdue University
  • IISE Doctoral Colloquium (three participants nominated per department)
  • NSF IISE Annual Conference Student Travel Award
  • Graduate Research Grant, Institute for a Sustainable Future, Purdue University
  • IISE Future Faculty Fellow (15 selected per year)
  • Lee A. Chaden Fellowship in Industrial Engineering, Purdue University
  • Graduate School Summer Research Grant, Purdue University
  • Honorable Mention Poster Award, Purdue Engineering Graduate Showcase

Service

Reviewing

Conferences: TRB Annual Meeting 2026, NeurIPS 2025, ISSST 2024. Journals: Journal of Cleaner Production, Networks and Spatial Economics.

Professional societies

  • Support team, Purdue Research Symposium on Operations
  • Session chair, IISE Annual Conference & Expo

University

  • Student representative, faculty search committee, Purdue Industrial Engineering
  • Vice President, Industrial Engineering Graduate Student Organization, Purdue