Scholar
Gongbo (Tony) Liang
Google Scholar ID: 9ECSYtwAAAAJ
Assistant Professor of Computer Science, Texas A&M University-San Antonio
Citations & Impact
Citations
1,089
H-index
18
i10-index
27
Publications
20
Co-authors
0
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Elevated to IEEE Senior Member in 2025 (top 10% of members)
- Received Excellence in Scholarship Award from College of Arts and Sciences, Texas A&M University–San Antonio (2025)
- Awarded 2024 CASHI-GOOGLE Award
- Received one-year pilot research grant from Google on image generation bias (2024)
- Multiple papers accepted to AAAI'25 workshops, IEEE BigData'25, IEEE Access, and ACM Southeast Annual Conference
- Won Best Poster Award at IEEE EMBS Lone Star Section Workshop on AI and Healthcare
- Research supported by NSF, NASA, and Google
Background
- IEEE Senior Member
- Assistant Professor of Computer Science at Texas A&M University–San Antonio
- Dedicated to computer vision and multi-modality learning since 2014
- Passionate about building more trustworthy and robust AI systems
- Research focuses on uncertainty-aware learning, model calibration, and explainability
- Aims to enhance AI cybersecurity through robustness against adversarial attacks, transparency, and reliability
- Applies trustworthy AI to real-world challenges: medical imaging diagnostics, rural roadway safety, and bias mitigation in generative AI
- Advocates hands-on, project-based teaching to empower students from diverse backgrounds
Co-authors