Yuan Qu
曲源
I am currently a Postdoctoral Fellow at the Department of Data and Systems Engineering at the University of Hong Kong, collaborating with Prof. Max Zuo-Jun Shen. I was an Instructor at Rutgers University.
I got my Ph.D. degree, with the concentration on Operations Research, from the Department of Management Science and Information Systems at Rutgers University, under the supervision of Prof. Jian Yang. Before that, I received my M.Sc. in Information Technology and Analytics from Rutgers University, under the supervision of Prof. Hui Xiong, and my B.Sc. in Electrical Engineering and B.A. in Business Administration from University of Electronics Science and Technology of China (UESTC).
Research Interests: Pricing and Revenue Management, Inventory Control, Game-theoretic Applications, Data-driven Modeling, Transportation, AI in Operations Management
CV (updated Aug. 8, 2025)
Education
Rutgers, The State University of New Jersey
Committee: Andrzej Ruszczynski, Endre Boros, Thomas Lidbetter, and Ming Hu
Rutgers, The State University of New Jersey
Adviser: Hui Xiong
University of Electronics Science and Technology of China (UESTC)
Research
How Many Are Too Many? Analyzing Dockless Bikesharing Systems with a Parsimonious Model Hongyu Zheng, Kenan Zhang, Macro Nie*, Pengyu Yan*, Yuan Qu Transportation Science, 58(1):152-175, 2023.
When Airline Insurance Meets a Pandemic: Designing Machine Learning Resilience Under Volatile Drift and Data Deficiency Jingjing Li*, Yuan Qu, Jingyuan Yang (author names in alphabetical order) Information Systems Research, R & R, Under Review. Abstract Available on SSRN
Opaque Selling to Strategic Buyers Yuan Qu*, Jian Yang Under Review. Available on SSRN
Dynamic Inventory-price Control during Opaque Selling of Horizontally-differentiated Products Yuan Qu*, Jian Yang Under Review. Available on SSRN
Diminishing Social Capital Returns from Employee Ambassadorship: Evidence from WeChat Chaitanya Kaligotla, Sarah Wittman, Jingyuan Yang, Yuan Qu, Wei Zeng Under Review, Available on SSRN
Matching-while-learning Algorithm for Dynamic Matching Problem of Cloud Manufacturing Platforms with Incomplete Information Liu Yang, Yuan Qu, Pengyu Yan* Under Review
Everyone Contributes! Incentivizing Strategic Cooperation in Multi-LLM Systems via Sequential Public Goods Games Yunhao Liang, Yuan Qu*, Jingyuan Yang*, Shaochong Lin, Max Z.J. Shen Under Review, Available on arXiv
Operation Strategy for Styling Box Platform with Max Z.J. Shen
A Personalized Online Learning Framework for Styling Box Recommendation with Pujun Zhang and Max Z.J. Shen
Charge Smarter, Not Harder: The Delicate Balance of Shared E-Bike Operations with Lingyun Zhang, Shaochong Lin, and Max Z.J. Shen
Who Should Pay for the Sharing? Mechanism Design of Resource Allocation in Headquarters-Branch Networks with Shan Li and Max Z.J. Shen
Dynamic Operation Management Considering Customer Engagement for Styling Box Platform with Pujun Zhang and Max Z.J. Shen
How Large Are Too Large? Deployment Region Analysis of Dockless Electronic Bike-Sharing Systems with Pengyu Yan and Max Z.J. Shen
Reinforcement Learning for Dynamic Matching on Cloud Manufacturing Platforms under Non-stationary Arrivals with Liu Yang and Pengyu Yan
One Size Does Not Fit All: Personal Match and Marketing Message Effectiveness on Social Networks with Jingyuan Yang and Wei Zeng
Experience
Postdoctoral Fellow
Collaborate in research principally with Professor Max Z.J. Shen of the Department of Data and Systems Engineering, or other researchers as appropriate. Advanced Industrial Engineering Technology Seminar 2024-25, IMSE7002, Spring 2025
Instructor & Lecturer
Product and Operations Management, Undergraduate, 29:623:311, Fall 2022 Management Information System, Undergraduate, 33:136:370, Spring 2020 - Spring 2022 Statistical Methods for Business, Undergraduate, 33:136:385, Fall 2019 Business Data Management, Graduate, 26:198:603 & 26:544:603, Fall 2019
Seasonal Data Scientist
Built an offline evaluation pipeline for online recommendation algorithms.
Teaching Assistant
Business Data Management, Graduate, 544:603, Spring 2018 Data Mining, Graduate, 198:650, Spring 2018
Co-founder
Develop web system and stock evaluation system. Collect all financial report data from SZSE & SSE. Estimate stock price by using absolute & relative value assessment model. Develop stock investment strategy system. Build auto-investment system based on specific strategy.
Professional Activities
- Presentations
Operation Strategy for Styling Box Platform The Seventeenth International Conference of CSAMSE, Chengdu, China, 2025 INFORMS Annual Meeting, Seattle, WA, 2024 Invited Research Seminar, UESTC, Chengdu, China, 2024
Inventory Control involving Opaque Selling 14th POMS-HK International Conference, Hong Kong, 2024 INFORMS Annual Meeting, Phenix, AZ, 2023
Understanding Opaque Selling from an Inventory-control Perspective Invited Research Seminar, UESTC, Chengdu, China, 2023 Northeast Decision Sciences Institute Annual Conference, Washington, DC, 2023 INFORMS Annual Meeting, Indianapolis, IN, 2022 Invited Research Seminar, Stony Brook University, Virtual, 2020
Drivers For Personal Social Marketing Effectiveness: A Joint View Of Content And Diffusion INFORMS Annual Meeting, Virtual, 2020 Invited Research Seminar, UESTC, Chengdu, China, 2020 Rutgers-NJIT Business School Joint Ph.D. Seminar, Newark, NJ, 2019 INFORMS Annual Meeting, Seattle, WA, 2019
- Conferences
Organizing Committee & Session Chair, The Seventeenth International Conference of CSAMSE, Chengdu, China, 2025
Session Chair, INFORMS Annual Meeting, Seattle, WA, 2024
- Reviews
- Ad hoc Reviewer for
- Operations Research Letters
- INFORMS Workshop on Data Science (DS 2022)
- Pacific Asia Conference on Information Systems (PACIS 2022)
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD)
- International Conference on Knowledge Science, Engineering and Management (KSEM)
- Supervising
- Dissertation Superviser for
- M.Sc. Students at HKU (co-advise with Max Z.J. Shen and Shaochong Lin)
-
Class of 2024: Jiaxuan Bai, Sijia Liu, Yiting Cai, Jiayu Li, Ziang Liang, and Zhongda Yang
Class of 2025: Min Lin, Lang Wang, Yuanjie Cai, Shangyu Yao, Siyuan Cheng, Jingchen Zhou, Shilu Huang, Yuanyan Song, Kanghui Li, Yaowu Cui, Yifan Yang, Kaiou Hu, and Qidong Ge
Tianyun Jin, Best Conference Paper Award, 2nd Prize, Frontiers of Digital Twins in Intelligent Manufacturing and Smart Cities, NSFC/RGC Conference, Hong Kong, 2025
- Funding
- 4-VA Collaborative Research Grants, 2024
- Role: Participant (PI: Jingjing Li)
Title: Building Machine Learning Resilience During Disasters.
- National Key Research and Development Project - Key Special Project, Dec. 2024 - Nov. 2027
- ¥27,000,000, HKU-SIRI (¥1,440,000)
Role: Co-I (Co-PI: Shaochong Lin)
Title: New-generation Smart Manufacturing ERP.
Skills
Awards & Certifications
- Best Conference Paper Award, 2nd Prize, Frontiers of Digital Twins in Intelligent Manufacturing and Smart Cities, NSFC/RGC Conference, Hong Kong, 2025
- Dean’s Dissertation Fellowship, Rutgers Graduate School-Newark, 2022
- Dean’s Competition for Summer Ph.D. Research Assistants, Rutgers Business School, 2022
- Dean’s Competition for Summer Ph.D. Research Assistants, Rutgers Business School, 2021
- Dean's Office Summer Scholarships, Rutgers Business School, 2020
- Graduate School-Newark Scholarship, Rutgers University, 2020
- University Merit Graduate Scholars Award, Rutgers University, 2019
- The Sceond Prize People's Scholarship, UESTC, 2016
- China National College Student Information Security Contest, Bronze Award, 2016
- China National College Student Entrepreneurship Contest, Bronze Award, 2016
- China National College Student Information Security Contest, Bronze Award, 2015
- The Western Star of Innovation and Entrepreneurship, 4th Place - Bronze Award, 2015
- The Second Level Athletic in China, Weiqi (Go), 2012
- Weiqi (Go) Amateur 5 dan, 2012