Research Description
I am advised by Prof. Yuexi Wang, and my current research focuses on developing efficient algorithms for simulation-based inference problems. I am also broadly interested in statistical machine learning and Bayesian inference.
Education
- PhD candidate in Statistics, UIUC, Aug. 2023 - present
- M.S. in Statistical Science, Duke University, Aug.2021 - May. 2023
- B.S. in Statistics, Shanghai University of Finance and Economincs, Sept. 2017 - Jun. 2021
Recent Publications
- Haoyu Jiang, Yuexi Wang and Yun Yang. (2026). Likelihood-Free Inference via Structured Score Matching. Conference on Artificial Intelligence and Statistics
- Haoyu Jiang, Yuexi Wang and Yun Yang. (2025). Simulation-based Inference via Langevin Dynamics with Score Matching. (submitted) [arXiv]
- Haoyu Jiang and Jason Xu. (2024). The Stochastic Proximal Distance Algorithm. Statistics and Computing, 34(210) [DOI] [arXiv]