Dr LI, Xin Stephen    李鑫 博士
Research Assistant Professor
Department of Mathematics and Information Technology
(852) 2948 6615
10 Lo Ping Road, Tai Po, New Territories, Hong Kong
Scopus ID
Research Interests
Data Science & Business Analytics;
Mathematical Modeling & Optimization;
Computing & Intelligent Algorithms;
Machine Learning for Combinatorial Optimization
Personal Profile

Dr. Li Xin Stephen is now a research assistant professor at Department of Mathematics and Information Technology, The Education University of Hong Kong (EdUHK). Before joining EdUHK, Dr. Li was an Associate Professor (tenured) at College of Management, Shenzhen University, Shenzhen, China. Dr. Li obtained the Ph.D degree from City University of Hong Kong (CityU). Before that, he got a master degree from Shanghai Jiao Tong University (SJTU) and a bachelor degree from Huazhong University of Science and Technology (HUST).

Research Interests

Data Science & Business Analytics;
Mathematical Modeling & Optimization;
Computing & Intelligent Algorithms;
Machine Learning for Combinatorial Optimization
Research Outputs

Journal Publications
Zikang Wang, Chun Huang, Boqiang Yao, Xin LI "Integrated reinforcement and imitation learning for tower crane lift path planning" . Automation in Construction, vol. 165, no. 105568, Sep 2024, pp. 1-18. doi:10.1016/j.autcon.2024.105568.
Xin LI and H. Chen "Bi-objective scheduling of physical therapy treatments with coupled operations for inpatients in rehabilitation departments" . Swarm and Evolutionary Computation, vol. 86, no. 101523, Apr 2024, pp. 1-13. doi:10.1016/j.swevo.2024.101523.
X. Qian, M. Yin, Xin LI, Q. Zhang "Two-stage stochastic nonlinear winner determination for logistics service procurement auctions under quantity discounts" . Journal of Industrial and Management Optimization, vol. 19(10), Oct 2023, pp. 7072-7089. doi:10.3934/jimo.2022252.
李鑫、陳海濱和王進《〈基於複合遺傳算法的住院患者物理康復治療調度〉》。 《工業工程與管理》,vol. 27 卷 2 期,11月 2022,pp. 頁 86-94。doi:https://doi.org/10.19495/j.cnki.1007-5429.2022.06.011。
X. Qian, S. Fang, M. Yin, M. Huang, Xin LI "Selecting green third party logistics providers for a loss-averse fourth party logistics provider in a multiattribute reverse auction" . Information Sciences, vol. 548 2021, pp. 357-377. doi:10.1016/j.ins.2020.09.011.
Xin LI, Y. Pan, S. Jiang, Q. Huang, Z. Chen, M. Zhang, Z. Zhang "Locate vaccination stations considering travel distance, operational cost, and work schedule" . Omega, vol. 101, no. 102236, Jun 2021. doi:10.1016/j.omega.2020.102236.
J. Wang, Xin LI, J. Chu, K. L. Tsui "A two-stage approach for resource allocation and surgery scheduling with assistant surgeons" . IEEE Access, vol. 8 2020, pp. 49487-49496. doi:10.1109/ACCESS.2020.2979519.
Xin LI, Z. X. Wang, F. T. S. Chan, S. H. Chung "A genetic algorithm for optimizing space utilization in aircraft hangar shop" . International Transactions in Operational Research, vol. 26(5) 2019, pp. 1655-1675. doi:10.1111/itor.12642.
Xin LI, J. Wang "Approximate dynamic programming approaches for appointment scheduling with patient preferences" . Artificial Intelligence in Medicine, vol. 85 2018, pp. 16-25. doi:10.1016/j.artmed.2018.02.001.
Xin LI, Richard Y. K. Fung "A dynamic scheduling algorithm for singe-arm two-cluster tools with flexible processing times" . Engineering Optimization, vol. 50(2), Feb 2018, pp. 329-346. doi:10.1080/0305215X.2017.1310209.
Xin LI, Richard Y. K. Fung "Optimal multi-degree cyclic solution of multi-hoist scheduling without overlapping" . IEEE Transactions on Automation Science and Engineering, vol. 14(2) 2017, pp. 1064-1074. doi:10.1109/TASE.2015.2478482.
Xin LI, Richard Y. K. Fung "Optimal K-unit cycle scheduling of two-cluster tools with residency constraints and general robot moving times" . Journal of Scheduling, vol. 19 2016, pp. 165-176. doi:10.1007/s10951-015-0448-7.
B. H. Zhou, Xin LI, R. Y. K. Fung "Dynamic scheduling of photolithography process based on Kohonen neural network" . Journal of Intelligent Manufacturing, vol. 26 2015, pp. 73-85. doi:10.1007/s10845-013-0763-9.
Xin LI, F. T. S. Chan, S. H. Chung "Optimal multi-degree cyclic scheduling of multiple robots without overlapping in robotic flowshops with parallel machines" . Journal of Manufacturing Systems, vol. 36 2015, pp. 62-75. doi:10.1016/j.jmsy.2015.03.003.
Xin LI, Richard Y. K. Fung "A mixed integer linear programming solution for single hoist multi-degree cyclic scheduling with reentrance" . Engineering Optimization, vol. 46(5) 2014, pp. 704-723. doi:10.1080/0305215X.2013.795560.
B.H. Zhou, Xin LI "Heuristic tabu search scheduling algorithm for wet-etching systems in semiconductor wafer fabrications" . High Technology Letters, vol. 19(2) 2013, pp. 111-116. doi:10.3772/j.issn.1006-6748.2013.02.001.
Xin LI, Richard Y. K. Fung "A mixed integer linear programming approach for multi-degree cyclic multi-hoist scheduling problems without overlapping" . Proceedings of 2013 IEEE International Conference on Automation Science and Engineering (CASE) 2013, pp. 274-279. doi:10.1109/CoASE.2013.6653893.
B.H. Zhou, Xin LI "Try and error-based scheduling algorithm for cluster tools of wafer fabrications with residency time constraints" . Journal of Central South University, vol. 19 2012, pp. 187-192. doi:10.1007/s11771-012-0990-9.

Conference Papers
Xin LI, H. Chen Physical therapy scheduling of inpatients based on improved Genetic Algorithm. Journal of Physics: Conference Series, Hai Kou, China, IOP Publishing, 2021. doi:10.1088/1742-6596/1848/1/012009.
Xin LI, Y. Pan, R. Y. K. Fung Optimal scheduling of the reentrant multi-degree cyclic multi-hoist scheduling problem. Proceedings of 2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Macau, IEEE, 2019, pp. 1319-1323. doi:10.1109/IEEM44572.2019.8978674.
Xin LI, J. Wang, Y. C. Pan A MILP model of scheduling physical therapies with coupled operations in a basic setting rehabilitation center. Proceedings of 2019 16th International Conference on Service Systems and Service Management (ICSSSM), IEEE, 2019. doi:10.1109/ICSSSM.2019.8887696.
Xin LI, S. Liu, Y. Pan, H. Guo Surgery scheduling study of deputy surgeons and assistants based on MIP. Proceedings of 2018 15th International Conference on Service Systems and Service Management (ICSSSM), IEEE, 2018. doi:10.1109/ICSSSM.2018.8465123.
Xin LI, Richard Y. K. Fung, H. Y. Sun An events-driven scheduling algorithm for two-cluster tools with processing time windows. Proceedings of 2011 IEEE International Conference on Industrial Engineering and Engineering Management, Singapore, IEEE, 2011, pp. 1436-1440. doi:10.1109/IEEM.2011.6118154.


Intelligent Heuristics and Algorithms with Reinforcement Learning for the Open Shop Scheduling Problem

Project Start Year: 2023, Principal Investigator(s): LI, Xin, Stephen

Machine learning for combinatorial optimization problems in operations management

Project Start Year: 2022, Principal Investigator(s): LI, Xin, Stephen

Research on rehabilitation scheduling with coupled and preemptive operations in time slots and continuous time simultaneously
from National Natural Science Foundation of China (NSFC)

With the people's ever-growing needs for a better life in new era, national health demands are greatly increasing. However, the capacity for rehabilitation services are quite inadequate. It is challenging for hospitals to maximise the capacity by scheduling rehabilitation treatments. The rehabilitation scheduling problem is a complicated decision-making problem with multiple types of treatments and operations, and constraints among multiple resources. In the face of the contradiction between the huge demands and undeveloped capacity, this project will research on integrated scheduling of rehabilitation tasks based on activity analysis, mathematical modelling, and optimization theory. It focuses on the reactivity of therapists and operations and considers continuous time and time slots simultaneously. It will develop the function and logic models for different operations, such as coupled operations, preemptive operations and multi-skills; formulate a mathematical programming model based on these properties; develop algorithms to solve the model and test it in practice. The current project will extend the previous research to include double time modules instead of single ones, to consider more operations from practice, e.g. coupled tasks and preemptive scheduling. The expected results not only offer approaches solving the main challenged problem in rehabilitation scheduling problems, but also improve the rehabilitation capacity by these new approaches which is valuable in practice.

Project Start Year: 2019, Principal Investigator(s): LI, Xin, Stephen