Huimin Li (李慧敏)

Lecturer I

School of Mathematical and Statistical Sciences
The University of Texas Rio Grande Valley

Office: EMAGC 2.336
Email: huimin.li01@utrgv.edu

Google Scholar

GitHub

Education

Ph.D. in Data Science and Statistics
The University of Texas at Dallas (UTD), Richardson, Texas, United States
Advisor: Dr. Qiwei Li

Aug 2020 - May 2025

M.S. in Statistics
The University of Texas Rio Grande Valley (UTRGV), Edinburg, Texas, United States
Advisor: Dr. Xiaohui Wang

Jan 2017 - May 2019

Bachelor of Management in Business Administration
Xiangtan University, Xiangtan, Hunan, China

Sep 2009 - Jun 2013

Research Interests

Bayesian statistical methodologies for spatial analysis and high-dimensional data analysis
Application: Spatially resolved transcriptomics

Spatial domain detection via spatial clustering
Discriminating gene identification via feature selection
Cell-type deconvolution

Deep learning for biomedical image analysis (segmentation and classification)
Application: Biomedical images

Topology-driven image analysis
Uncertainty quantification/estimation

Selected Publications [Google Scholar]

Bayesian and Statistical Methodology

	Robust Bayesian integrative modeling of single cell and spatially resolved transcriptomics data H. Li, B. Zhu, X. Jiang, Y. Ma, L. Xu, and Q. Li bioRxiv:2025.04.22.650087 [Link][GitHub]
	An interpretable Bayesian clustering approach with feature selection for analyzing spatially resolved transcriptomics data H. Li, B. Zhu, X. Jiang, L. Guo, Y. Xie, L. Xu, and Q. Li Biometrics, 2024, Volume 80, Issue 3, ujae066 [Link][GitHub]
	Spatial Transcriptomics Arena (STAr): An integrated platform for spatial transcriptomics methodology research X. Jiang, D. Luo, H. Li, E. Fernández, K. C. Lutz, S. Bedi, J. Yang, Y. Zhan, B. Yao, G. Xiao, X. Zhan, Y. Xie, and Q. Li bioRxiv: 2023.03.10.532127 [Link][WebApp]
Artificiual Intelligence
	Self pre-training with topology- and spatiality-aware masked autoencoders for 3D medical image segmentation P. Gu, H. Li, Y. Zhang, C. Wang, and DZ. Chen In Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM, 2025)
	TopoImages: Incorporating local topology encoding into deep learning models for medical image classification P Gu, H. Wang, Y. Zhang, H. Li, C. Wang, DZ. Chen Pengfei Gu, Hongxiao Wang, Yejia Zhang, Huimin Li, Chaoli Wang, and Danny Z. Chen In Proceedings of the 33rd ACM International Conference on Multimedia (ACM MM, 2025) [Link]
	Topo-VM-UNetV2: Encoding topology into vision mamba UNet for polyp segmentation D. Adame, J. Nunez, F. Vazquez, N. Gurrola, H. Li, H. Tang, B. Fu and P. Gu In Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems (CBMS, 2025) [Link]
	Adapting a segmentation foundation model for medical image classification P. Gu, H. Tang, I. Ebeid, J. Nunez, F. Vazquez, D. Adame, M. Zhan, H. Li, B. Fu and DZ. Chen In Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems (CBMS, 2025) [Link]

Teaching Experience

Instructor
The University of Texas Rio Grande Valley, Edinburg, TX

CSCI 6344 Introduction to Data Science Fall 2025
STAT 2334 Applied Statistics for Health Fall 2025
MATH 1342 Elementary Statistical Methods Fall 2025

Graduate Teaching Assistant
The University of Texas at Dallas, Richardson, TX

STAT 5353 Probability & Statistics for Data Science and Bioinformatics Spring 2025
STAT 7330 Bayesian Data Analysis Spring 2022 - Fall 2024
STAT 4355 Applied Linear Models Spring 2021, Fall 2021
MATH 2417 Calculus I Spring 2021, Fall 2021, Spring 2022
STAT 3341 Probability and Statistics in Computer Science and Software Engineering Fall 2020

Graduate Teaching Assistant
The University of Texas Rio Grande Valley, Edinburg, TX

MATH 2414 Calculus II Fall 2017
MATH 1343 Introduction to Biostatistics Fall 2017
MATH 2413 Calculus I Spring 2017, Fall 2017
MATH 1314 College Algebra Spring 2017
MATH 3337 Probability & Statistics Spring 2017