Scholar

Haoteng Tang

Google Scholar ID: P9q4gXYAAAAJ

Assistant Professor in Computer Science, University of Texas Rio Grande Valley.

machine learningdata miningmedical image computing and bioinformatics

Homepage↗Google Scholar↗

Citations & Impact

All-time

Citations

451

H-index

i10-index

Publications

Co-authors

list available

Contact

Emailhaoteng.tang@utrgv.edu GitHubOpen ↗

Publications

13 items

Deep Models, Shallow Alignment: Uncovering the Granularity Mismatch in Neural Decoding

2026

Cited

Learning with Geometric Priors in U-Net Variants for Polyp Segmentation

2026

Cited

Aligning Findings with Diagnosis: A Self-Consistent Reinforcement Learning Framework for Trustworthy Radiology Reporting

arXiv.org · 2026

Cited

R-GenIMA: Integrating Neuroimaging and Genetics with Interpretable Multimodal AI for Alzheimer's Disease Progression

2025

Cited

Why Text Prevails: Vision May Undermine Multimodal Medical Decision Making

2025

Cited

Integrating Multi-scale and Multi-filtration Topological Features for Medical Image Classification

2025

Cited

Inferred global dense residue transition graphs from primary structure sequences enable protein interaction prediction via directed graph convolutional neural networks

2025

Cited

DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation

2025

Cited

Resume (English only)

Background

Research interests include medical image computing, interpretable and robust artificial intelligence, graph learning, and neuroimaging-genetic analysis of brain diseases. Currently, he is a tenure-track Assistant Professor in the Department of Computer Science at the University of Texas Rio Grande Valley.

Miscellany

Looking for self-motivated PhD students for research in the areas of AI, computer vision, medical image analysis, and large foundation model. Please contact him if interested.

Co-authors

18 total