About me
Yifei Xiong
I am currently enrolled in a statistics PhD program with a focus on Bayesian Statistics and Machine Learning.
My research interests include Bayesian statistics, Monte Carlo methods, differential privacy, and machine learning techniques.
Email: xiong173 [AT] purdue.edu
News
Some of my undergraduate maths course notes are now available on here.
Educations
Sep 2024 - Present, PhD in Statistics
Department of Statistics, Purdue University
Advisor: Prof. Nianqiao “Phyllis” JuSep 2021 - Jul 2024, M.Sc. in Probability and Mathematical Statistics
School of Mathematical Sciences, University of Chinese Academy of Sciences
Advisor: Prof. Sanguo ZhangSep 2017 - Jul 2021, B.Sc. in Mathematics and Applied Mathematics
Minor in Computer Science and Technology
School of Mathematics, South China University of Technology
Graduation Thesis Advisor: Prof. Zhijian He
Talks
SNPE-B Revisited: Rethinking of Data Efficiency and Variance Reduction
10th International Congress on Industrial and Applied Mathematics (ICIAM)
Waseda University, Tokyo, Aug 25, 2023. [Link]An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation
The 24th Beijing-Tianjin-Hebei Youth Symposium on Probability Statistics
Tsinghua University, Beijing, Jun 10, 2023. [Slides] [Link]
Publications and Manuscripts
Evaluating and improving subspace inference in Bayesian deep learning
Yifei Xiong, Nianqiao P. Ju, Ruqi Zhang
Under review, Oct 2024.Leveraging nested MLMC for sequential neural posterior estimation with intractable likelihoods
Xiliang Yang, Yifei Xiong, Zhijian He
Under review, Dec 2023. [arXiv]Conditional density estimations from privacy-protected data
Yifei Xiong, Nianqiao P. Ju, Sanguo Zhang
Revised, Oct 2023. [arXiv]An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation
Yifei Xiong, Xiliang Yang, Sanguo Zhang, Zhijian He
Revised, May 2023. [arXiv]3D geometric modeling analysis of contact probability effect in carbon black oxidation over MnOx-CeO2 catalysts
Jingheng Gao, Yifei Xiong, Qian Zhang, et.al
Chemical Engineering Journal, May 2020. [Article]