Publications

Reinforcement Learning for Healthcare Operations Management: Methodological Framework, Recent Developments, and Future Research Directions

Published in Health Care Management Science, 2025

with Jiangxue Han, Yimo Yan, Yong-Hong Kuo, and Zuo-Jun Max Shen

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A Mixed Integer Linear Programming-Based Reinforcement Learning Framework for Electric Bus Scheduling with Multiple Termini and Service Routes.

Published in Transportation Research Part C: Emerging Technologies, 2024

with Yimo Yan, Haomin Wen, Yang Deng, Andy H.F. Chow, and Yong-Hong Kuo

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A New Magnetorheological Quasi-zero Stiffness Vibration Isolation System with Large Zero Stiffness Range and Highly Stable Characteristics

Published in Nonlinear Dynamics, 2023

with Lei Deng, Shuaishuai Sun, Ning Gong, Jiang Yang, Shiwu Zhang, Haiping Du, and Weihua Li

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Evaluating the Patient Boarding during Omicron Surge in Hong Kong: Time Series Analysis

Published in Journal of Medical Systems, 2023

with Sunny Ching-long Chan, Teddy Tai-loy Lee, Kevin Wang-leong So, Omar Wai-kiu Tsui, Yong-Hong Kuo, Timothy Hudson Rainer, and Abraham Ka-chung Wai

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Reinforcement Learning for Logistics and Supply Chain Management: Methodologies, State of the Art, and Future Opportunities

Published in Transportation Research Part E: Logistics and Transportation Review, 2022

with Yimo Yan, Andy HF Chow, Chin Pang Ho, Yong-Hong Kuo, and Chengshuo Ying

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Equity in Access to Care: Appointment Scheduling across Patient Groups with Varied No-Show Rates (Abstract)

Published in INFORMS M&SOM Conference, 2025

with Haolin Feng, Yiwu Jia, and Yong-Hong Kuo