About Me

I am an Assistant Professor in Management Science, School of Management at Xi'an Jiaotong University. Before joining XJTU, I obtain my PhD degree from SEM at Tsinghua University. My research interests mainly lie in the area of data driven optimization, game theory and dynamic mechanism design, etc. You can also find my official homepage here.

Work and Education Experiences

Assistant Professor in Management Science, School of Management, Xi'an Jiaotong University, 2021-now.

PhD in Management Science and Engineering, School of Economics and Management, Tsinghua University, 2015-2021.

Visiting Assistant in Research (CSC scholarship) in Operations Management, School of Management, Yale University, 2017-2018.

B.S. in Logistics Management, School of Economics and Management, Beijing Jiaotong University, 2011-2015.

Minor in Industrial Engineering, School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, 2012-2015.

Research

Research Paper

Data Center Network Design for Internet-Related Services and Cloud Computing  

with Yong Liang, Mengshi Lu, and Zuo-Jun Max Shen.
Production and Operations Management, 2021, 30(7):2077-2101.

Efficient Resource Allocation Contracts to Reduce Adverse Events  

with Yong Liang, Peng Sun and Chong Zhang.
Operations Research, 2022, 71(5):1889-1907.

Collaborative Vehicle-to-grid Operations in Electricity Regulation Markets  

with Ho-Yin Mak.
Manufacturing & Service Operations Management, 2024.

Two-Sided Subsidies for Complementary Products: The Case of Electric Vehicles

with Saed Alizamir, Michael Blair.
Reject and resubmit at Management Science.

Robust Dynamic Programming for Cloud Computing Resource Provisioning  

with Yong Liang.
Reject and resubmit at Production and Operations Management.



Research Interests

Topics

    Supply Chain Management for Emerging Technologies,

    OM/Marketing Interface,

    Platform Economy,

    Sustainable Operations.


Methodologies

    Game Theory,

    Data Driven Optimization,

    Robust Optimization,

    Dynamic Mechanism Design.


Miscellaneous

Teaching

Data, Model and Decisions, MBA
Data-driven models and optimization, Graduate
Some lecture notes in Beamer:
  • Course introduction,
  • Brief intro of ML,
  • Robust optimization,
  • Distributionally RO.
  • Data driven with features.
  • Multi-armed bandits.
    • Applied Statistics Practising, Undergraduate
    Advanced Statistics Analysis, Graduate
    Academic Writing in Management Science, Graduate
    Financial Management and Practice, MPAcc
    Some lecture notes in Rmarkdown:
  • Intro to R,
  • PCA and Clustering,
  • Regression,
  • Time series and Panel Regression.

    • Presentation

    Conference  

    INFORMS Annual Meeting, Phoenix, 2018.
    MSOM Annual Meeting, Singapore, 2019.
    INFORMS Annual Meeting, Seattle, 2019.
    INFORMS Annual Meeting, Virtual, 2020.
    POMS International, China, 2023.
    POMS International, Paris, 2023.
    INFORMS Annual Meeting, Phoenix, 2023.
    ISCOM, Shanghai, 2023.

    Invited talk  

    Renmin Business School, 2021/09
    Tsinghua SEM, 2024/01