Prof. Li Zeng received her B.E. in Precision Instruments and M.S. in Optical Engineering from Tsinghua University, and M.S. in Statistics and Ph.D. in Industrial Engineering from University of Wisconsin-Madison. Before joining CityU, she was an Associate Professor in the Wm Michael Barnes '64 Department of Industrial and Systems Engineering at Texas A&M University.
Prof. Zeng's research focuses on statistical machine learning, reinforcement learning, crowdsourcing, and applications of large language models (LLMs).
Awards and Achievements
- 2025 “Finalist of Best Student Paper Competition” IEEE CASE 2025.
- 2023 “IISE Transactions Service Award” IISE Transactions.
- 2017 “Best Paper Award” IISE Transactions.
- 2016 “Best Application Paper Award” IISE Transactions.
- 2014 “Best Paper in the Healthcare Systems Track” 4th IEOM Conference.
Previous Experience
- Sep 2019 - Jul 2021, Associate Professor with tenure, Texas A&M University.
- Sep 2015 - Aug 2019, Assistant Professor, Texas A&M University.
- Sep 2010 - Jul 2015, Assistant Professor, University of Texas at Arlington.
Selected Publications
- Tian, K. and Zeng, L., 2025, “Learning Optimal Baggage Routing from Expert Demonstrations”, in Proceedings of the IEEE 21st International Conference on Automation Science and Engineering (CASE), Aug 17-21, Los Angeles, CA, USA.
- Wu, Q., Deng, X., Wang, S., and Zeng, L., 2021, “Constrained Varying-coefficient Model for Time-Course Experiments in Soft Tissue Fabrication”, Technometrics, 63(2):249-262.
- Choi, D., and Zeng, L., 2020, “Robust Logistic Regression Tree for Subgroup Identification in Healthcare Outcome Modeling”, IISE Transactions on Healthcare Systems Engineering, 10(3):184-199.
- Wu, Q., Wang, X., Liu, H., and Zeng, L., 2020, “Learning Hemodynamic Effect of Transcranial Infrared Laser Stimulation Using Longitudinal Data Analysis”, IEEE Journal of Biomedical and Health Informatics, 24(6):1772-1779.
- Zeng, L., Deng, X., and Yang, J., 2018, “Constrained Gaussian Process with Application in Tissue-engineering Scaffold Biodegradation”, IISE Transactions, 50(5):1-17.
Openings
- I am looking for highly motivated PhD students with a background of engineering and statistics/data science. Interested students please send your CV, transcripts and publications (if any) to me for consideration.
Last update date :
05 Sep 2025
