肖皪

Dr Xiao is an assistant professor of intelligent transportation and logistics systems Lab, Tsinghua-Berkeley Shenzhen Institute (TBSI), Tsinghua university. Dr Xiao received her PhD degree from National University of Singapore, MSc degree from Chinese Academy of Sciences, and BS degree from Wuhan University. Before joining TBSI, Dr Xiao was a postdoctoral fellow and a research assistant professor at Chinese University of Hong Kong.

Ph.D. in Department of Decision Science, School of Business,National University of Singapore, 2010-2015
MSc. in the Academy of Mathematics and System Science, Chinese Academy of Sciences, 2008-2010
B.S. in School of Mathematics and Statistics, Wuhan University, 2004-2008

2015-2016, Research Assistant Professor, School of Business, Chinese University of Hong Kong
2016-2017, Postdoctoral fellow, School of Business, Chinese University of Hong Kong
2017-now, Assistant Professor, Tsinghua-Berkeley Shenzhen Institute, Tsinghua University

Research Interest and Expertise

-Methodology: Stochastic Modeling, Optimization, Applied Probability, Data Analysis, Dynamic Programming

-Application: Supply Chain Management, Global Sourcing, Inventory Management, Service Operations, Sharing Economy

Research Description

Li Xiao studies topics in the fields of supply chain management and service operations. In the field of supply chain management, she focuses on optimal policy and heuristic policy in global supply chain system. In the field of service operations, she focuses on the strategic customer behavior in the service system and in sharing economy.

• Best Paper Award, 16th International Conference on Service Systems and Service Management, 2019.

• Short-listed for the IEEM2020 Outstanding Paper Award (3%), 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2020.

• Second Prize, The 9th Young Faculty Teaching Competition, Tsinghua University, 2020.

• Tsinghua University

– Operations research, Fall 2018, 2019, 2020, 2021

– Supply chain management and design, Spring 2018, 2019, 2020, 2021, 2022

– Queueing theory and its application, Spring 2018

• The Chinese University of Hong Kong

– Decision Modeling and Analytics, Fall 2015

Ph.D. Students

• Ye Tian, 08/2022 — Present

• Tianlun Yi, 08/2022 — Present

• Zhenxiao Wang, 08/2021 — Present

• Xin Weng, 08/2020 — Present

• Jiaxin Liu, 08/2020 — Present

• Yao Yao, 08/2019 — Present

• Xiaotong Liu (Cosupervise with Max Shen), 08/2018 — Present

• Ruobin Li, 08/2018 — Present

• Wenbin Sun (Cosupervise with Lixin Miao), 08/2017 — 07/2022. Thesis: “Optimal inventory control with supply risk and multiple demand classes: pricing, ordering, and allocation”. Placement: Meituan

Master Students

• Boyang Zhang, 08/2022 — Present

• Xuyan Shi, 08/2021 — Present

• Yan Weng, 08/2021 — Present

• Xueping Dong, 08/2021 — Present

• Xinran Du, 08/2021 — Present

• Jinhui Xu, 08/2021 — Present

• Ce Wang, 08/2019 — 07/2022 Thesis: “Inventory systems under yield uncertainty: centralization versus decentralization”. Placement: Kuaishou.

• Lewen Yuan, 08/2019 — 07/2022 Thesis: “Food delivery service model: customer, restaurant, and platform”. Placement: CDH Investments.

• Liying Zhang, 08/2018 — 07/2021. Thesis: “Performance analysis of a two-stage tandem queue with balking customers”. Placement: Department of industry and information technology of Shandong Province.

• Lin Gan, 08/2018 — 07/2021. Thesis: “The optimal choice for local content requirement and tariff under social welfare maximization”. Placement: Tencent.

• Ke Li (Cosupervise with Lixin Miao), 08/2017 — 07/2019. Thesis: “Pricing Decision in Peer-to-Peer Short-Term Sharing on the Bilateral Commission Platform”. Placement: The Whittle School.

[J9] Xiao L., Shen M. 2023. Efficiency of the Carpooling Service: Customer Waiting and Driver Utilization. Acceptted at IISE Transactions.

[J8] Wang Y., L. Xiao, Luo X. 2023. On the optimal solution of the distributionally robust multi-product newsvendor problem. 2023. Acceptted at Journal of the Operational Research Society.

[J7] Xiao L., C. Wang. 2023. Multi-location Newsvendor Problem with Random Yield: Centralization versus Decentralization. Omega: The International Journal of Management Science, 116: 102795.

[J6] Kulkarni V. G., L. Xiao, H. Zhang. 2022. Periodic Review Inventory Models with Multiclass Demands and Fixed Order Costs. Stochastic Models.

[J5] Li K., L. Xiao. 2022. Peer-to-peer short-term sharing on the rental platform. Journal of Systems Science and Systems Engineering, 31(6): 705–727.

[J4] Xiao, L., S. Xu, D. Yao, H. Zhang. 2022. Optimal Staffing for Ticket Queues. Queueing Systems: Theory and Applications 102: 309-351.

[J3] Song J., L. Xiao, H. Zhang, P. H. Zipkin. 2022. Smart Policies for Multi-Source Inventory Systems and General Tandem Queues with Order Tracking and Expediting. Operations Research, 70(4): 2421-2438.

[J2] M. Ali, W. Cai, J. Cai, J. Miao, S. Zhang, J. Chen, L. Xiao, H. Meng, C. Yan, G. Wei. 2021. Enabling Quasi-2D Perovskite-Compatible Growth Environment for Efficient Light-Emitting Diodes. Advanced Optical Materials, 10: 2100671.

[J1] Song J., L. Xiao, H. Zhang, P. H. Zipkin. 2017. Optimal Policies for a Dual-Sourcing Inventory Problem with Stochastic Leadtimes. Operations Research, 65(2): 379-395.

[C12] Huang Z., Y. Guo, Q. Wu, L. Xiao, H. 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.

[C11] Yi X., Y. Guo, H. Sun, Q. Wu, L. 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.

[C10] Zai R., Y. Guo, Q. Liu, H. Sun, Q. Wu, L. Xiao. 2022. Knowledge Assisted Deep Reinforcement Learning for Electric Vehicle Charging Control. The 6th IEEE Conference on Energy Internet and Energy System Integration.

[C9] Huang J., Y. Guo, H. Sun, Q. Wu, L. 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.

[C8] Zuo Q. , X. Liu, L. Xu, C. Xu, J. Liu, , W. K. Chan, L. Xiao. 2022. The Three-dimensional BinPacking Problem for Deformable Items. 2022 IEEE International Conference on Industrial Engineering and Engineering Management.

[C7] Xu L., X. Liu, L. Xiao, Q. Zuo, J. Liu, W. 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.

[C6] Cao X., Y. Yao, L. Li, W. Zhang, Z. An, Z. Zhang, S. Guo, L. Xiao, X. Cao, D. Luo. 2021. iGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control. AAAI Conference on Artificial Intelligence.

[C5] Yao Y., L. Xiao, Z. An, W. Zhang, D. Luo. 2021. Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation. 2021 IEEE International Conference on Robotics and Automation (ICRA).

[C4] Yuan L., L. Xiao. 2021. Optimal Pricing for Online Delivery Platforms with Group Buying and Direct Delivery. 2021 IEEE International Conference on Industrial Engineering and Engineering Management.

[C3] Gan L., L. 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.

[C2] Zhang L., L. Xiao. 2020. Performance Analysis for a Two-Stage Queuing System with Online Service. 2020 IEEE International Conference on Industrial Engineering and Engineering Management.

[C1] Li K., L. Xiao. 2019. Peer-to-Peer Short-Term Sharing on the Bilateral Commission Platform. 2019 16th International Conference on Service Systems and Service Management.

Postdoctoral fellow

A postdoctoral fellow position is currently open. The ideal candidate should have background in operations research, industrial engineering, mathematics,statistics, optimization, or economics. Interested applicants please email a CV to xiaoli@sz.tsinghua.edu.cn.

Graduate Student Position

I am looking for self-motivated and hard-working master students and PhD students. Applications are encouraged from students with an excellent educational background in, but not limited to, mathematics,industrial engineering,statistics, or economics. Interested applicants please contact xiaoli@sz.tsinghua.edu.cn about future openings.

Student Supervision

PhD Students:

Weng Xin, 08/2020 --- Present

Yao Yao, 08/2019 --- Present

Xiaotong Liu (Cosupervise with Max Shen), 08/2018 --- Present

Ruobin Li, 08/2018 --- Present

Wenbin Sun (Cosupervise with Lixin Miao), 08/2016 --- Present

Master Students:

Ce Wang, 08/2019 --- Present

Lewen Yuan (Cosupervise with Yang Li), 08/2019 --- Present

Liying Zhang, 08/2018 --- 07/2021. First Job: Department of industry and information technology of Shandong Province.

Lin Gan, 08/2018 --- 07/2021. First Job: Tencent.

Ke Li (Cosupervise with Lixin Miao), 08/2016 --- 07/2019. First Job: The Whittle School