Scholar
Shuang Zhou
Google Scholar ID: yR_ZhV0AAAAJ
University of Minnesota, Hong Kong Polytechnic University
Citations & Impact
Citations
407
H-index
10
i10-index
11
Publications
20
Co-authors
16
list available
Publications
Resume (English only)
Academic Achievements
- - Preprints:
- - Uncertainty-Aware Large Language Models for Explainable Disease Diagnosis
- - Automating Expert-Level Medical Reasoning Evaluation of Large Language Models
- - Quantized Large Language Models in Biomedical Natural Language Processing: Evaluation and Recommendation
- - EPEE: Towards Efficient and Effective Foundation Models in Biomedicine
- - Continually Evolved Multimodal Foundation Models for Cancer Prognosis
- - Publications:
- - Large Language Models for Disease Diagnosis: A Scoping Review
- - Explainable Differential Diagnosis with Dual-Inference Large Language Models
- - Mitigating Ethical Issues for Large Language Models in Oncology: A Systematic Review
- - RAMIE: Retrieval-Augmented Multi-Task Information Extraction with Large Language Models on Dietary Supplements
- - Open-set Cross-network Node Classification via Unknown-excluded Adversarial Graph Domain Alignment
- - Open-World Electrocardiogram Classification via Domain Knowledge-Driven Contrastive Learning
- - Enhancing Explainable Rating Prediction through Concept Annotation with LLMs
Research Experience
- - Postdoctoral Fellow at the University of Minnesota Twin Cities, Department of Surgery
Education
- - PhD in Computer Science, The Hong Kong Polytechnic University, 2024, Advisors: Dr. Korris Chung and Dr. Xiao Huang
- - Master's degree in Computer Science, The Chinese University of Hong Kong, 2020
- - Bachelor's degree, Wuhan University, 2018
Background
- Research interests include Biomedical Informatics, Electronic Health Records, Large Language Models, AI for Healthcare, Deep Learning, and Graph Neural Networks. Currently working as a researcher with Prof. Rui Zhang in the Department of Surgery, University of Minnesota Twin Cities.
Miscellany
- Looking for remote collaborators. Feel free to drop an email if interested in working together.
