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Yi Han I am a thrid-year PhD student in Statistics at Columbia University. I am working closely with Professor John Cunningham, Carri Chan and Hannah Li. Prior to joining Columbia, I received my bachelor's degree in Statistics from Shanghai Jiao Tong University in 2023. As an undergraduate, I spent a semester as an exchange student at Harvard Biostatistics, where I worked with Professor Rui Duan and Tian Gu. Email: yh3660[AT]columbia[DOT]edu |
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Research |
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Reverse Diffusion Sequential Monte Carlo Samplers
Luhuan Wu, Yi Han, Christian A. Naesseth, John P. Cunningham NeurIPS, 2025 |
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Diffusion-based Sampling via Amortized Posterior Inference
Yi Han*, Luhuan Wu*, John P. Cunningham 7th Symposium on Advances in Approximate Bayesian Inference (AABI Workshop Track), 2025 |
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Confidence diagram of nonparametric ranking for uncertainty assessment in large language models evaluation
Zebin Wang*, Yi Han*, Ethan X. Fang, Lan Wang, Junwei Lu Arxiv, 2025 |
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Unsupervised ensemble learning for efficient integration of pre-trained polygenic risk scores
Chenyin Gao, Justin Tubbs, Yi Han, Min Guo, Sijia Li, Erica Ma, Dailin Luo, Jordan W. Smoller, Phil H. Lee, Rui Duan Medrxiv, 2025 |
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Robust angle-based transfer learning in high dimensions
Tian Gu, Yi Han, Rui Duan Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2024 |
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A transfer learning approach based on random forest with application to breast cancer prediction in underrepresented populations
Tian Gu, Yi Han, Rui Duan Pacific Symposium on Biocomputing (PSB), 2022 |
| * equal contribution |
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Updated in September 2025. Thanks Jon Barron for the source code. |