Latest News

View All
NEW
Feb 2026

Paper Accepted to CVPR 2026

"STAR: Test-Time Adaptation Can Enhance Universal Prompt Learning for Vision-Language Models" accepted to CVPR 2026.

Conference
Jan 2026

Joined Yale University

Started as a Postdoctoral Associate in Statistics and Data Science at Yale University, working with Prof. Xiang Zhou.

Position
Mar 2024

Two Papers in Briefings in Bioinformatics

SPANN and CANAL papers published in Briefings in Bioinformatics.

Publication

Featured Publications

View All
Accepted · CVPR 2026

STAR: Test-Time Adaptation Can Enhance Universal Prompt Learning for Vision-Language Models

Yiwei Fu, Hui Wan, Xiao Luo, Minghua Deng*

SVC: A ViT-based Spatial Virtual Cell Model for Deciphering Subcellular Spatial Transcriptomic Heterogeneity

Hui Wan, Xiang Zhou*

Briefings in Bioinformatics · 2024

SPANN: annotating single-cell resolution spatial transcriptome data with scRNA-seq data

Musu Yuan†, Hui Wan†, Zihao Wang, Qirui Guo, Minghua Deng*

Research Interests

About Me
Spatial Transcriptomics Single-cell Multi-omics Deep Learning Statistical Methods Spatial Domain Detection Gene Colocalization

Latest News

Feb 2026

Paper Accepted to CVPR 2026

Our 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!

Jan 2026

Joined Yale University

Started as a Postdoctoral Associate in the Department of Statistics and Data Science at Yale University, working with Professor Xiang Zhou.

Mar 2024

Two Papers Published in Briefings in Bioinformatics

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.

About Me

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.

Research Interests

Spatial Transcriptomics Single-cell Multi-omics Deep Learning Statistical Methods Spatial Domain Detection Gene Colocalization

Education & Academic Positions

Postdoctoral Associate

Yale University, Department of Statistics and Data Science

2025 – Present

Supervisor: Professor Xiang Zhou

Postdoctoral Research Fellow

University of Michigan, Ann Arbor, Department of Biostatistics

2024 – 2025

Ph.D. in Statistics

Peking University

2019 – 2024

Supervisor: Professor Minghua Deng

B.S. in Statistics

East China Normal University

2015 – 2019

Publications

STAR: Test-Time Adaptation Can Enhance Universal Prompt Learning for Vision-Language Models

Yiwei Fu, Hui Wan, Xiao Luo, Minghua Deng*

Accepted IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026

SPANN: annotating single-cell resolution spatial transcriptome data with scRNA-seq data

Musu Yuan†, Hui Wan†, Zihao Wang, Qirui Guo, Minghua Deng*

Briefings in Bioinformatics, Volume 25, Issue 2, March 2024, bbad533

Continually adapting pre-trained language model to universal annotation of single-cell RNA-seq data

Hui Wan, Musu Yuan, Yiwei Fu, Minghua Deng*

Briefings in Bioinformatics, Volume 25, Issue 2, March 2024, bbae047

scEMAIL: Universal and Source-free Annotation Method for scRNA-seq Data with Novel Cell-type Perception

Hui Wan, Liang Chen*, Minghua Deng*

Genomics, Proteomics & Bioinformatics, Volume 20, Issue 5, October 2022, Pages 939-958

scNAME: neighborhood contrastive clustering with ancillary mask estimation for scRNA-seq data

Hui Wan†, Liang Chen†, Minghua Deng*

Bioinformatics, Volume 38, Issue 6, March 2022, Pages 1575-1583

Statistical Methods for Microbiome Compositional Data Network Inference: A Survey

Liang Chen†, Hui Wan†, Qiuyan He, Shun He, Minghua Deng*

Journal of Computational Biology, Volume 29, Issue 7, July 2022, Pages 704-723

SVC: A ViT-based Spatial Virtual Cell Model for Deciphering Subcellular Spatial Transcriptomic Heterogeneity

Hui Wan, Xiang Zhou*

Submitted

Awards & Honors

2023.03

Second-Class Scholarship

Center for Quantitative Biology, Peking University

2022.10

Award for Scientific Research

Peking University

2019.06

Outstanding Graduate

Shanghai Municipal Commission of Education

Contact

Office

219 Prospect Street, Kline Tower, Room 1115
New Haven, CT 06511