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GB Tony Liang

Computer Vision Deep Neural Networks Learning-Based Image Processing Large-Scale Image Collections
Texas A&M University - San Antonio (TAMUSA) Computer Science and Cybersecurity

About

Dr. Gongbo "Tony" Liang earned his Ph.D. in Computer Science from the University of Kentucky under the supervision of Dr. Nathan Jacobs (moved to Washington University in St. Louis). Before joining TAMU-SA, Dr. Liang was an Assistant Professor at Eastern Kentucky University (EKU) and the Director of the EKU Gaming Institute. Dr. Liang has focused on computer vision and deep neural network research since 2014; his specialty is developing learning-based algorithms and systems for processing large-scale image collections. His research has been funded by NSF, NASA, and Google.

Research Performance Summary

63
Total Papers
1262
Total Citations
21
H-Index
2015-2026
Active Research Span

First Recorded Paper

A geometric framework for stop sign detection

Year: 2015

Citations: 9

Venue: 2015 IEEE China Summit and International Conference on Signal and

Latest Recorded Paper

MedProbCLIP: Probabilistic Adaptation of Vision-Language Foundation Model for Reliable Radiograph-Report Retrieval

Year: 2026

Citations: 0

Venue: arXiv preprint arXiv:2602.16019

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2026
2
2025
12
2024
10
2023
7
2022
9
2021
5
2020
8
2019
6
2018
1
2017
1
2016
1

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 31
Journal 6
Book 0

Top Coauthors

Liang Zhang Jacobs

Research Impact by Period

2025-2026

Period Stats
Papers 14
Citations 32
Avg. Citations / Paper 2.3
H-Index 4

2020-2024

Period Stats
Papers 39
Citations 1006
Avg. Citations / Paper 25.8
H-Index 18

2015-2019

Period Stats
Papers 10
Citations 224
Avg. Citations / Paper 22.4
H-Index 6

Contact and Professional Links

Contact Information

gliang@tamusa.edu
2107842373

Detected Research Keywords

Alzheimer Disease Diagnosis Medical Imaging Classification Alzheimer Disease Classification 2d Convolutional Neural Convolutional Neural Networks Ct Images Generative Images Generative Adversarial Generative Adversarial Network Adversarial Network Alternative Network Alternative Improvement