Scholar
Song Wang
Google Scholar ID: H_xgjeAAAAAJ
Assistant Professor, University of Central Florida
Citations & Impact
Citations
1,423
H-index
20
i10-index
23
Publications
20
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- ICML 2025: Co-first author paper "MAPLE: Many-Shot Adaptive Pseudo-Labeling In-Context Learning"
- NeurIPS 2024: First author paper "Mixture of Demonstrations for In-Context Learning"
- TMLR 2025: Paper "Generative Risk Minimization for Out-of-Distribution Generalization on Graphs"
- EMNLP 2023: Paper "Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance"
- AAAI 2025 Oral: Co-first author paper "BrainMAP: Learning Multiple Activation Pathways in Brain Networks"
- Knowledge-Based Systems 2025: Collaborative paper on NLP-based early heart failure detection using EHRs
- NPJ Digital Medicine 2025: Collaborative paper on uncertainty-aware LLMs for explainable diagnosis
- Multiple papers accepted at top venues in 2025 including NeurIPS, EMNLP, ICLR, KDD, ECAI, and COLM, with several first-authored or co-first-authored works
- Organizing the 1st Lock-LLM Workshop at NeurIPS 2025
Background
- Assistant Professor in the Department of Computer Science and the Institute of AI at the University of Central Florida
- Research focuses on Trustworthy AI and Computational Biology
- Research interests include: Adaptability (few-shot learning, in-context learning, transfer learning), Robustness (model robustness under noisy data and distribution shifts), and Biomedical & Health Informatics (e.g., early heart failure detection from EHRs, explainable disease diagnosis with LLMs)
- Actively recruiting motivated Ph.D. students interested in machine learning, trustworthy AI, and interdisciplinary applications in bioinformatics
- Seeking collaborations on impactful research projects
