Gongbo "Tony" Liang, PhD
Assistant Professor of Computer Science
Texas A&M University-San Antonio
Embedded Files
Research
I'm a computer vision researcher dedicated to improving the trustworthiness of neural networks. I'm also excited to push the boundaries of deep learning and apply innovative solutions to real-world challenges. Please visit my publication page to learn more.Biography
Dr. Gongbo "Tony" Liang earned his Ph.D. in Computer Science degree from the University of Kentucky (2020) under the supervision of Dr. Nathan Jacobs (moved to Washington University in St. Louis).Dr. Liang is an Assistant Professor of Computer Science at Texas A&M University-San Antonio. He 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.
Prospective Students
I am always interested in hard-working students with strong technical abilities, a desire to grow, and an eagerness to work on challenging problems as part of a team. If you are interested, please see the openings page.News
- 05/07/2025: Happy to annouce that I have been elevated to the prestigious rank of Senior Member by IEEE. This distinction is held by only 10% of IEEE's members and recognizes extensive experience, professional maturity, and significant documented achievements. Hooray!
- 04/11/2025: Be invited to give a talk at the IEEE EMBC Lone Star Chapter and IEEE Lone Star Section Life Member Affinity Group.
- "AI and the Future of Healthcare: Ensuring Reliability and Safety"
- 03/24/2025: Congrats to Jaspal Singh Kahlon on his Honor's project be accepted to the 2025 ACM Southeast Annual Conference, ACM's oldest, continuously running, annual conference with over 50 years of history.
- "PortrAid: An AI-Driven Portrait Assistant for Professional-Quality Image Composition"
- 12/19/2024: Congrats to Demetrio, Yuktha, and Ramya on their papes be accepted to AAAI'25 workshop
- "Benchmarking Robustness of Contrastive Learning Models for Medical Image-Report Retrieval"
- "Exploring the Potential of Large Language Models in Public Transportation: San Antonio Case Study"
- 12/06/2024: Great news! Our poster on making neural networks more reliable won the Best Poster at the IEEE EMBS Long Star Section Workshop on AI and Healthcare
- 11/01/2024: One paper about medcial imaging model calibration is accepted to IEEE BigData'25 (CORE Ranking: B, H5-index: 54)
- 06/18/2024: Exciting news! We've been awarded a one-year pilot research grant from Google to explore Image Generation Bias
- 05/28/2024: A paper about multi-classification of neuropsychiatric disorders is accepted to IEEE Journal of Biomedical and Health Informatics (IF: 7.7, Q1)
- 04/24/2024: Congrats to Cristian Moran for receiving the First Place Poster Award at the 10th Texas A&M University-San Antonio Student Research Symposium.
- Title: Spatial-Temporal Roadway Accident Visualization and Analysis in San Antonio
- 02/01/2024: Congrats to one of my undergraduate students received the Dream.US Scholarship
- 11/06/2023: A paper about road safety estimation is accepted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IF: 5.5, Q1).
Page updated
Google Sites
Report abuse