Pangpang Liu
Education
Ph.D. in Quantitative Methods, Purdue University, 2021 - present
M.S. in Statistics, Georgia State University, 2021
M.S. in Quantitative Economics, Fudan University, 2018
B.A. in Economics and B.A. in Law, China University of Political Science and Law, 2013
Pangpang Liu is a Ph.D. candidate in Quantitative Methods at the Daniels School of Business, with a concurrent M.S. in Industrial Engineering at the Edwardson School of Industrial Engineering, Purdue University, advised by Professor Will Wei Sun.
His research interests focus on trustworthy AI, reinforcement learning, large language models, dynamic pricing, and empirical likelihood.
Journal Articles
- Pangpang Liu, Zhuoran Yang, Zhaoran Wang, Will Wei Sun (2024). Contextual Dynamic Pricing with Strategic Buyers. Journal of the American Statistical Association, | Related Website |
- Pangpang Liu, Yichuan Zhao (2024). Smoothed empirical likelihood for the difference of two quantiles with the paired sample. Statistical Papers, vol. 65 2077–2108. | Related Website |
- Brian Pidgeon, Pangpang Liu, Yichuan Zhao (2024). Jackknife empirical likelihood for the correlation coefficient with multiplicative distortion measurement errors. Journal of Nonparametric Statistics, | Related Website |
- Pangpang Liu, Yichuan Zhao (2023). A review of recent advances in empirical likelihood. WIREs Computational Statistics, vol. 15 (3), e1599. | Related Website |
- Pangpang Liu (2017). An empirical analysis on the influence of option market on the volatility of spot market: Based on the comparison of before and after 50ETF option listing. Statistics & Information Forum, vol. 32 (10), 50-58. | Related Website |
Conference Proceedings
- Pangpang Liu, Yichuan Zhao (2024). Empirical Likelihood for Fair Classification. The Twelfth International Conference on Learning Representations (ICLR), | Related Website |
- Pangpang Liu, Fusheng Wang, George Teodoro, Jun Kong (2021). Histopathology image registration by integrated texture and spatial proximity based landmark selection and modification. IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1827-1830. | Related Website |
Working Papers
- Pangpang Liu, Will Wei Sun (2025). Fairness-aware contextual dynamic pricing with strategic buyers. arXiv: 2501.15338. Major revision in Journal of the American Statistical Association, | Related Website |
- Pangpang Liu, Will Wei Sun (2025). Inference of reinforcement learning from human feedback for uncertainty quantification in LLM training. In progress.
- Pangpang Liu, Chengchun Shi, Will Wei Sun (2024). Dual active learning for reinforcement learning from human feedback. arXiv: 2410.02504. Under review, | Related Website |
Doctoral Research Excellence Award, Purdue University, 2023
Fred Massey Scholarship, Georgia State University, 2021
Ross Fellowship, Purdue University, 2021
Special Employee Performance Recognition Award, Purdue University, 2024
Travel Grant, Purdue Graduate Student Government, 2024
Referee for Conferences
The International Conference on Learning Representations (ICLR)
Referee for Journals
Journal of the American Statistical Association, Metrika, Statistical Analysis and Data Mining, Mathematical Methods of Statistics
- MGMT 30500 (Business Statistics, Fall 2021, Spring 2022)
- MGMT 57100 (Data Mining, Fall 2022, Fall 2024, Spring 2025)
- MGMT 67000 (Business Analytics, Fall 2024)
Contact
liu3364@purdue.edu
Phone: (765) 494-4524
Office: KRAN 486
Quick links
Area(s) of Expertise
Artificial Intelligence, Machine Learning, Optimization, Pricing, Quantitative Analysis