"STAR: Test-Time Adaptation Can Enhance Universal Prompt Learning for Vision-Language Models" accepted to CVPR 2026.
ConferenceStarted as a Postdoctoral Associate in Statistics and Data Science at Yale University, working with Prof. Xiang Zhou.
PositionSPANN and CANAL papers published in Briefings in Bioinformatics.
PublicationOur paper "STAR: Test-Time Adaptation Can Enhance Universal Prompt Learning for Vision-Language Models" has been accepted to the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026!
Started as a Postdoctoral Associate in the Department of Statistics and Data Science at Yale University, working with Professor Xiang Zhou.
Our papers "SPANN: annotating single-cell resolution spatial transcriptome data with scRNA-seq data" and "Continually adapting pre-trained language model to universal annotation of single-cell RNA-seq data" have been published in Briefings in Bioinformatics.
I am a Postdoctoral Associate in the Department of Statistics and Data Science at Yale University, under the supervision of Professor Xiang Zhou. Previously, I was a postdoctoral research fellow in the Department of Biostatistics at the University of Michigan, Ann Arbor (2024-2025). I received my Ph.D. in Statistics from Peking University in 2024, under the supervision of Professor Minghua Deng.
My research focuses on developing statistical methods and deep learning approaches for analyzing spatial transcriptomics and single-cell multi-omics data. I am particularly interested in spatial domain detection, gene colocalization analysis, and novel cell detection.
Yale University, Department of Statistics and Data Science
2025 – Present
Supervisor: Professor Xiang Zhou
University of Michigan, Ann Arbor, Department of Biostatistics
2024 – 2025
East China Normal University
2015 – 2019
Accepted IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
Journal of Computational Biology, Volume 29, Issue 7, July 2022, Pages 704-723
Submitted
Center for Quantitative Biology, Peking University
Peking University
Shanghai Municipal Commission of Education
219 Prospect Street, Kline Tower, Room 1115
New Haven, CT 06511