Research

My research seeks to address fundamental operations issues under the emerging trends in technology, marketplaces, and society. I am particularly enthusiastic about developing data-driven optimization and randomized experiment (a.k.a. A/B testing) methodologies to evaluate and optimize the operations strategies in the contexts of online platforms and marketplaces, sharing economy, and social networks, especially their recommendation, advertising, and pricing policies.

Research Interests

Methodologies

Reinforcement learning; optimization; randomized experiment; matching; game theory; mechanism design; econometrics and causal inference.

Applications

Online platforms and marketplaces; sharing economy; social networks; recommender systems; advertising; revenue management and pricing; inventory and supply chain management.

Research Papers

[Google Scholar Profile] [SSRN Author Page]

Publications

  1. Dynamic Pricing and Inventory Management under Inventory-Dependent Demand, Operations Research, 62(5), 2014, 1077-1094 (with Nan Yang) [Online Appendix].
  2. Dynamic Pricing and Inventory Management under Fluctuating Procurement Costs, Manufacturing & Service Operations Management, 17(3), 2015, 321-334 (with Guang Xiao and Nan Yang) [Online Appendix].
  3. Dynamic Supply Risk Management with Signal-Based Forecast, Multi-Sourcing, and Discretionary Selling, Production and Operations Management, 26(7), 2017, 1399-1415 (with Long Gao, Nan Yang, and Ting Luo) [Online Appendix].
  4. Trade-in Remanufacturing, Customer Purchasing Behavior, and Government Policy, Manufacturing & Service Operations Management, 20(4), 2018, 601-616 (with Fuqiang Zhang) [Online Appendix].
    • --- Finalist award in the POMS College of Supply Chain Management 2015 Best Student Paper Competition.

Papers under Review

  1. Competition and Coopetition for Two-sided Platforms (with Maxime Cohen).
    • --- Honorable Mention in the INFORMS Service Science 2017 Best Cluster Paper Award.

  2. Data Aggregation and Demand Prediction (with Maxime Cohen and Kevin J. Jiao).
    • --- Finalist Award in the INFORMS Data Mining Section 2019 Best Paper Award.

  3. Cold Start on Online Advertising Platforms: Data-Driven Algorithms and Field Experiments (with Zikun Ye, Dennis J. Zhang, Heng Zhang, Xin Chen, and Zhiwei Xu).
  4. Social Nudges Boost Productivity on Online Platforms: Evidence from Field Experiments (with Zhiyu Zeng, Hengchen Dai, Dennis J. Zhang, Max Shen, Zhiwei Xu, and Heng Zhang).
  5. Personalized Sales Targets with Customer Choices (with Xiaolong Li, Ying Rong, and Huan Zheng).
  6. Dynamic Pricing and Inventory Management in the Presence of Online Reviews (with Nan Yang).
  7. Dynamic Competition under Market Size Dynamics: Balancing the Exploitation-Induction Tradeoff (with Nan Yang).
  8. Competition on Inventory Availability and Price (with Junfei Lei, Yugang Yu, and Fuqiang Zhang).
  9. Carpool Services for Ride-sharing Platforms: Price and Welfare Implications (with Xuan Wang).
  10. Comparative Statics Analysis of Inventory Management Models with Dynamic Pricing (with Nan Yang).

Works in Progress

  1. Recommender Systems on Platforms (with Xuan Wang and Dennis J. Zhang).

Research Awards and Grants

  1. Finalist in the INFORMS Revenue Management & Pricing 2020 Student Paper Competition, October 2020.
  2. Finalist Award in the INFORMS Data Mining Section 2019 Best Paper Award, October 2019.
  3. Shanghai Eastern Scholar, Young Scholar Program, PI, RMB 200,000/Year, January 2019-December 2021.
  4. National Science Foundation of China, Young Scientist Program 71802133, PI, RMB 180,000, January 2019-December 2021.
  5. Honorable Mention in the INFORMS Service Science 2017 Best Cluster Paper Award, October 2017.
  6. Shanghai Pujiang Talent Program 17PJC074, PI, RMB 100,000, September 2017-August 2019.
  7. Finalist award in the POMS College of Supply Chain Management 2015 Best Student Paper Competition, May 2015.

PhD Dissertation

Dynamic Pricing and Inventory Management: Theory and Applications (supervised by Nan Yang and Fuqiang Zhang) [Defense Slides].

Notes, Reviews and Tutorials

  1. An Introduction to Joint Pricing and Inventory Management under Stochastic Demand.

  2. Pricing and Inventory Management under Fluctuating Costs.

  3. Recent Development in Health-care Operations (B.S. thesis, advised by Ke Liu).

Coauthors

Xin Chen, Maxime Cohen, Hengchen Dai, Long Gao, Kevin J. Jiao, Junfei Lei, Xiaolong Li, Ting Luo, Ying Rong, Max Shen, Xuan Wang, Guang Xiao, Zhiwei Xu, Nan Yang, Zikun Ye, Yugang Yu, Zhiyu Zeng, Dennis J. Zhang, Fuqiang Zhang, Heng Zhang, and Huan Zheng.

Student Advising

  1. Kevin J. Jiao (New York University, Stern School of Business, PhD).

  2. Junfei Lei (University of Washington, Foster School of Business, PhD).

  3. Xiaolong Li (Shanghai Jiaotong University, Antai College of Economics and Management, PhD).

  4. Haoyu Xu (New York University Shanghai, Undergraduate).

  5. Yiyi Zhang (New York University Shanghai, Business Honors Thesis).

  6. Yujia Ni (New York University Shanghai, Business Honors Thesis).

Quotations

"Conferences and ArXiv are great places to find out what most clever and energetic people are working on, but where do you go to find out what clever and energetic people are not working on?"--- David Aldous

"Wir müssen wissen - wir werden wissen!" (We must know - we will know!)---the epitaph on the tomb of David Hilbert.