Yuxin Liu
I am a third-year PhD student in Operations Research in the Department of
Industrial Engineering at the University of Pittsburgh, where I am fortunate to
be advised by Prof. M. Amin Rahimian. Prior to Pitt, I received my B.S. in
Economics from Jilin University in June 2020 and my M.E. in Systems
Engineering from Tianjin University in June 2023.
My research interests lie at the intersection of social learning, game theory,
privacy-preserving mechanisms, and information diffusion. Please feel free to
contact me at YUL435@pitt.edu.
News
- April 2026. Privacy-preserving Information Sharing in Oligopoly
Competitions will be presented at the Network Science and Economics
(NET ECON) Conference 2026, held at the University of Miami from April
10–12, 2026. Authors: Yuxin Liu and M. Amin Rahimian. - March 2026. I participated in the 2026 IOE-ISyE-MS&E Rising Stars
Workshop, held at the University of Michigan on March 27, 2026, where I
presented Privacy-preserving Information Sharing in Oligopoly
Competitions. Authors: Yuxin Liu and M. Amin Rahimian. - February 2026. Optimal Resolution of a Data Sharing Trilemma:
Statistical Power, Sample Complexity, and Privacy Budget was accepted
as a poster at the 2026 Privacy and Public Policy Conference (PPPC), held
at Georgetown University on February 9–10, 2026. - December 2025. I delivered a tutorial at WINE 2025 (The 21st Conference
on Web and Internet Economics), held at Rutgers University from
December 8–11, 2025, titled Differential Privacy for Strategic
Information Sharing and Learning. Tutorial website:
https://sites.google.com/pitt.edu/wine-2025-tutorial-yuxin - October 2025. I chaired the Privacy-Preserving session at the 2025
INFORMS Annual Meeting, held in Atlanta from October 26–29, 2025, and
presented my work Privacy-Aware Sequential Learning. - October 2025. I presented Differentially Private Sequential Learning at
NYC Privacy Day 2025, held on October 17, 2025. - June–July 2025. I presented Differentially Private Sequential Learning at
the 2025 INFORMS Applied Probability Society Conference, held at
Georgia Tech in Atlanta from June 30 to July 3, 2025. I was also honored
to receive a travel grant in support of this presentation. - April 2025. I presented Differentially Private Sequential Learning at the
2025 Conference on Network Science and Economics. - March 2025. I presented two projects, Differentially Private Sequential
Learning and Seeding with Differentially Private Network Information,
at the 6th AAAI Workshop on Privacy-Preserving Artificial Intelligence
(PPAI-25), held in Philadelphia on March 3, 2025. I am grateful to have
received a travel grant from PPAI in support of this work. - August 2024. I presented Structural Dynamics of Harmful Content
Dissemination on WhatsApp at the 2024 Purdue Operations Conference,
held at Purdue University from August 23–25, 2024. - August 2024. I presented ongoing work on Differentially Private
Sequential Learning at the Theory and Practice of Differential Privacy
(TPDP) 2024 Workshop, held at Harvard University on August 20–21,
2024.
Research Works
Working Papers and Conference Papers
- Liu, Y., Garimella, K., Rahimian, A. Structural Dynamics of Harmful
Content Dissemination on WhatsApp. ICWSM 2026. - Liu, Y., Rahimian, A. Privacy-Aware Sequential Learning. FORC 2025;
under review at Operations Research. - Liu, Y., Rahimian, A., Yu, F. Seeding with Differentially Private Network
Information. Under review at INFORMS Journal on Computing. - Rutter, T., Liu, Y., Rahimian, A. Differential Privacy for Network
Connectedness Indices. Under review at EC. - Liu, Y., Garimella, K., Rahimian, A. The Evolution of Prompt Complexity
and Knowledge Structure in Longitudinal ChatGPT User Interactions.
Working paper. - Liu, Y., Rahimian, A. Privacy-preserving Information Sharing in
Oligopoly Competitions. Working paper.
Publications - Ma, J., Liu, Y. et al. Research on the mechanism and application of
spatial credit risk contagion based on complex network model.
Managerial and Decision Economics, 2024. - Ma, J., Liu, Y. et al. Does green credit financing mode with cap-and-trade
scheme really benefit all members? Managerial and Decision
Economics, 2023. - Ma, J., Liu, Y. et al. Research on optimization of food supply chain
considering product traceability recall and safety investment.
Managerial and Decision Economics, 2022. - Li, Y., Ma, J., Liu, Y. Study on the complexity of channel pricing game in
showrooming O2O supply chain. RAIRO - Operations Research, 2022.
Selected Honors & Awards
- Travel Grants: IOE-ISyE-MS&E Rising Stars Workshop 2026; AAAI PPAI
2025; APS 2025; FORC 2025; Purdue Operations Conference 2024 - Merit Scholarship, Tianjin University (2020–2021, 2022–2023).
- Merit Scholarship, Jilin University (2016–2020).
- National Prize, China Graduate Mathematical Modeling Contest (2021).
Portfolio
- Portfolio http://yuxinliu1997.github.io/
- GitHub https://github.com/YuxinLiu1997/
