Scholar
Linlin Yu
Google Scholar ID: 3pu55HoAAAAJ
University of Texas at Dallas
Citations & Impact
Citations
59
H-index
5
i10-index
3
Publications
10
Co-authors
3
list available
Publications
Resume (English only)
Academic Achievements
- Papers accepted at top-tier venues: NeurIPS (2024, 2025), ICLR (2024, 2025), AISTATS (2025), EMNLP (2024), NAACL Findings (2024), etc.
- Co-authored a comprehensive survey on uncertainty estimation in LLMs (preprint, 2025)
- AISTATS 2025 paper 'Evidential Uncertainty Probes for Graph Neural Networks' introduces a plug-and-play uncertainty quantification framework
- Serving as reviewer for NeurIPS (2024, 2025), ICLR (2025), AISTATS (2025), KDD (2025), BigData (2024)
- Gave a talk on 'Evidential Deep Learning for Uncertainty Quantification' at Tianjin University (May 2024)
Background
- Assistant Professor in the School of Computer and Cyber Sciences at Augusta University
- Research focuses on evidential uncertainty quantification and reasoning for complex structural data
- Aims to improve reliability of uncertainty estimation by integrating domain-specific prior knowledge
- Applications include attributed graphs, hyperspectral imaging classification, bird's-eye view semantic segmentation, and generative models
- Interested in trustworthy AI, uncertainty estimation in LLMs, and Graph Neural Networks
- Actively recruiting self-motivated PhD and Master’s students interested in trustworthy AI systems
