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, 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: Revenue Management, Inventory Control, Game-theoretic Applications, Data-driven Modeling, AI, Reinforcement Learning, Transportation Engineering
CV (updated 2024.10.18)
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.
Understanding Styling Box Selling from Stackelberg Pricing Game Perspective Yuan Qu, Max Z.J. Shen
Building Resilience During Crises: A Big Data Empowered Reinforcement Learning Approach for Airline Insurance Jingjing Li, Yuan Qu, Jingyuan Yang (author names in alphabetical order) Information Systems Research, R & R, To be resubmitted
Opaque Selling to Strategic Buyers Yuan Qu, Jian Yang Under Review
Matching-while-learning Algorithm for Dynamic Matching Problem of Cloud Manufacturing Platforms with Incomplete Information Pengyu Yan, Liu Yang, Yuan Qu Under Review
Dynamic Inventory-price Control during Opaque Selling of Horizontally-differentiated Products Yuan Qu, Jian Yang To be submitted
Diminishing Social Capital Returns from Employee Ambassadorship: Evidence from WeChat Chaitanya Kaligotla, Sarah Wittman, Jingyuan Yang, Yuan Qu, Wei Zeng Under Review
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.
50%-Instructor & Part-Time 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
Styling Box Selling to Strategic Buyers 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, November 2019
- Session Chair
INFORMS Annual Meeting, Seattle, WA, 2024
- Review Services
- 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)
-
Jiaxuan Bai (2023, Tencent), Sijia Liu (2024, AIA), Ziang Liang, Min Lin, Lang Wang, Yuanjie Cai, and Zhongda Yang
- Funding
- 4-VA Collaborative Research Grants, 2024
- Role: Participant (PI: Jingjing Li)
Title: Building Machine Learning Resilience During Disasters.
Skills
Awards & Certifications
- 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