Associate Professor in Business Intelligence and Analytics
  • 2010–2015  Ph.D. in Operations Research, Department of Analytics and Operations, NUS Business School, National University of Singapore
  • 2008–2010   M.S. in Operations Research and Cybernetics, Academy of Mathematics and System Science, University of Chinese Academy of Sciences
  • 2004–2008   B.S. in Information and Computing Sciences, School of Mathematics and Statistics, Wuhan University
  • 2024/03–2024/11 Associate Professor, Business School, Southern University of Science and Technology
  • 2017/08–2024/02 Assistant Professor, Tsinghua-Berkeley Shenzhen Institute and  Tsinghua Shenzhen International Graduate School, Tsinghua University
  • 2015/08–2017/07 Postdoctoral Fellow and Research Assistant Professor, Business School, Chinese University of Hong Kong
  1. Best Paper Award, National Conference and Supply Chain and Operations Management, 2023.
  2. Short-listed (3%) for Outstanding Paper Award, IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2020.
  3. Second Prize, The 9th Young Faculty Teaching Competition, Tsinghua University, 2020.
  4. Best Paper Award, International Conference on Service Systems and Service Management, 2019.
  5. Overseas High Caliber Personnel Award (Peacock Program), Shenzhen Government, 2017.

Tsinghua University:

  • Supply chain management and design, Spring semester 2018–2023.
  • Operations research, Fall semester 2018–2023.
  • Queueing theory and its application, Spring 2018.

The Chinese University of Hong Kong:

  • Decision modeling and analytics (for undergraduates), Fall 2015.

 External Grants from NSFC

  1. Principal Investigator (PI). 2023–2026. Amount: CNY 460,000. Title: “Research on the inventory management under the supply chain disruption risk warning system”. National Natural Science Foundation of China (Grant No. 72271140).
  2. Principal Investigator (PI). 2019–2021. Amount: CNY 180,000. Title: “Multi-sourcing inventory management with stochastic leadtimes”. National Natural Science Foundation of China (Grant No. 71801140).

Internal Grants

  1. Principal Investigator (PI). 2022–2024. Amount: CNY 200,000. Title: “Operational control and inventory management of cold storage equipment with high energy consumption and low carbon emission”. Research Fund, Data Science and Information Technology Center, Tsinghua University.
  2. Principal Investigator (PI). 2017–2020. Amount: CNY 1,000,000. Title: “Smart policies for multi-source inventory systems and general tandem queues”. Start-up Research Fund. Tsinghua-Berkeley Shenzhen Institute, Tsinghua University.
  3. Principal Investigator (PI). 2015–2016. Amount: HKD 50,000. Title: “Optimal policies for a dual-sourcing inventory problem with stochastic leadtimes”. Start-up Research Fund. CUHK Business School, Chinese University of Hong Kong.
  • Supply chain, Data driven operations, Analytics, Service management, Digital economy.

Publications in UT Dallas-24 (UTD) Journals (  : PhD or master student)

  1. Li Ruobing, Li Xiao, Dacheng Yao. 2023. Dynamic pricing and production control in a two-item make-to-stock system with flexible dual sourcing and lost sales. (Authors in alphabetical order). Production and Operations Management (UTD, FT50, ABS4), 32(10): 3119-3137.
  2. Song Jing-Sheng, Li Xiao, Hanqin Zhang, Paul Zipkin. 2022. Smart policies for multi-source inventory systems and general tandem queues with order tracking and expediting. (Authors in alphabetical order). Operations Research (UTD, FT50, ABS4*), 70(4): 2421–2438.
  3. Song Jing-Sheng, Li Xiao, Hanqin Zhang, Paul Zipkin. 2017. Optimal policies for a dual-sourcing inventory problem with stochastic leadtimes. (Authors in alphabetical order). Operations Research (UTD, FT50, ABS4*), 65(2): 379–395.

Publications in Other Journals (  : PhD or master student)

  1. Xiao Li, Zuo-jun Max Shen. 2023. Efficiency of the carpooling service: Customer waiting and driver utilization. IISE Transactions (Field-top journal in industrial engineering, ABS3, SCI), 55(10):1062-1074.
  2. Yao Yao, Bin Liu, Haoxun He, Dakui Sheng, Ke Wang, Li Xiao, Huanhuan Cao. 2023. I-Razor: A differentiable neural input razor for feature selection and dimension search in DNN-based recommender systems. IEEE Transactions on Knowledge and Data Engineering. (Top-3 journal in Data Mining area according to The China Computer Federation, SCI)
  3. Xiao Li, Ce Wang. 2023. Multi-location newsvendor problem with random yield: centralization versus decentralization. Omega: The International Journal of Management Science (ABS3, SCI), 116, 102795.
  4. Wang Yi, Li Xiao, Xinggang Luo. 2023. On the optimal solution of the distributionally robust multi-product newsvendor problem. Journal of the Operational Research Society (ABS3, SCI)
  5. Xiao Li, Susan Xu, David Yao, Hanqin Zhang. Optimal staffing for ticket queues. Queueing Systems: Theory and Applications (Field-top journal in queueing, ABS2, SCI), 102, 309–351.
  6. Li Ke, Li Xiao. 2022. Peer-to-peer short-term sharing on the rental platform. Journal of Systems Science and Systems Engineering (SCI), 31, 705–727.
  7. Kulkarni Vidyadhar G, Li Xiao, Hanqin Zhang. 2022. Periodic review inventory models with multiclass demands and fixed order costs. Stochastic Models (SCI), 39(3), 592-631.

(_: PhD or master student)

Information System & Artificial Intelligence Areas

  • [C1] Cao Xiaoyan, Yao Yao, Lanqing Li, Wanpeng Zhang, Zhicheng An, Zhong Zhang, Li Xiao, Shihui Guo, Xiaoyu Cao, Meihong Wu, Dijun Luo. 2021. iGrow: A smart agriculture solution to autonomous greenhouse control. Proceedings of AAAI Conference on Artificial Intelligence. (Top 1 A-level conference in Artificial Intelligence area according to The China Computer Federation)
  • [C2] Yao Yao, Li Xiao, Zhicheng An, Wanpeng Zhang, Dijun Luo. 2021. Sample efficient reinforcement learning via model-ensemble exploration and exploitation. 2021 IEEE International Conference on Robotics and Automation (ICRA). (Top B-level conference in Artificial Intelligence area according to The China Computer Federation)

Data-driven Operations Area (EI indexed Proceedings)

  • [C3] Dong Xueping, Li Xiao. 2023. The impact of resale market on video games: boosted revenue and better player engagement. 2023 IEEE International Conference on Industrial Engineering and Engineering Management.
  • [C4] Shi Xuyan, Li Xiao. 2023. Delayed matching considering user patience in ride-sourcing system. 2023 IEEE International Conference on Industrial Engineering and Engineering Management.
  • [C5] Huang Zhihong, Ye Guo, Qiuwei Wu, Li Xiao, Hongbin Sun. 2022. A multiple market trading mechanism for electricity, renewable energy certificate and carbon emission right of virtual power plants. The 6th IEEE Conference on Energy Internet and Energy System Integration. (EI)
  • [C6] Xinyi Yi, Ye Guo, Hongbin Sun, Qiuwei Wu, Li Xiao. 2022. Energy-grade double pricing mechanism for a combined heat and power system using the asynchronous dispatch method. The 6th IEEE Conference on Energy Internet and Energy System Integration. (EI)
  • [C7] Zai Rui, Ye Guo, Qiong Liu, Hongbin Sun, Qiuwei Wu, Li Xiao. 2022. Knowledge assisted deep reinforcement learning for electric vehicle charging control. The 6th IEEE Conference on Energy Internet and Energy System Integration. (EI)
  • [C8] Huang Jieming, Ye Guo, Hongbin Sun, Qiuwei Wu, Li Xiao. 2022. A simplification method for robust optimization of power system based on LMP. The 6th IEEE Conference on Energy Internet and Energy System Integration. (EI)
  • [C9] Zuo Qiruyi, Xinglu Liu, Lu Xu, Li Xiao, Chengyin Xu, Jianfeng Liu, Wai Kin Chan. 2022. The three-dimensional bin packing problem for deformable Items. 2022 IEEE International Conference on Industrial Engineering and Engineering Management. (EI)
  • [C10] Xu Lu, Xinglu Liu, Li Xiao, Qiruyi Zuo, Jianfneg Liu, Wai Kin Chan. 2022. Data-driven procurement optimization in fresh food distribution market under demand uncertainty: A two-stage stochastic programming approach. 2022 IEEE International Conference on Industrial Engineering and Engineering Management. (EI)
  • [C11] Yuan Lewen, Li Xiao. 2021. Optimal pricing for online delivery platforms with group buying and direct delivery. 2021 IEEE International Conference on Industrial Engineering and Engineering Management. (EI)
  • [C12] Gan Lin, Li Xiao. 2020. The optimal choice for local content requirement and tariff under social welfare maximization. 2020 IEEE International Conference on Industrial Engineering and Engineering Management. (EI)
  • [C13] Zhang Liying, Li Xiao. 2020. Performance analysis for a two-stage queuing system with online service. 2020 IEEE International Conference on Industrial Engineering and Engineering Management. (EI)
  • [C14] Li Ke, Li Xiao. 2019. Peer-to-peer short-term sharing on the bilateral commission platform. 2019 16th International Conference on Service Systems and Service Management. (EI)

Ad Hoc Referee for Journals and Grants:

  • Management Science (UTD)
  • Manufacturing & Service Operations Management (UTD)
  • Production and Operations Management (UTD)
  • Journal of Applied Probability
  • Journal of the Operations Research Society of China
  • Operations Research Letters
  • Computers & Operations Research
  • A Quarterly Journal of Operations Research
  • Hong Kong Research Grants Council

Professional Memberships:

  • The Institute of Operations Research and Management Science (INFORMS)
  • INFORMS Manufacturing and Service Operations Management Society (MSOM)
  • INFORMS Applied Probability Society (APS)
  • Production and Operations Management Society (POMS)