Keyuan Jiang
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
Publications
85
Citations
525
Est. group size
—
Recurring co-author estimate
Active years
39
Publishing since 1988
Keyuan Jiang works on applying natural language processing and large language models (LLMs) to health-related text, such as identifying medication side effects and symptoms discussed in social media posts like tweets, mapping informal health language to standardized medical terms, and interpreting medical images like ECGs with multimodal AI models. This research combines biomedical informatics with computational text and data mining to help extract useful health information from unstructured sources.
Publication output was higher around 2017-2019, declined to a lower steady rate of about 2-4 papers per year from 2020-2025, and shows a notable uptick in 2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Normalizing Health Concepts with Biomedical Embedding and LLMs
2026
- Establishing a Master's Program in Applied Artificial Intelligence: From Concept to Implementation
2026
- Normalizing Health Concepts with Biomedical Embedding and LLMs
Underline Science Inc. · 2026
- Interpreting ECG Images with Multimodal Large Language Models
Studies in health technology and informatics · 2026
- Pride-Boiler at MedGenVidQA 2026: LLM-Augmented BM25 Retrieval with Corrective Self-Verification for Biomedical Evidence Retrieval
2026
- Same Models, Better Results: Improving Multimodal LLMs’ Accuracy in Identifying Myocardial Infarction from ECG Images
Lecture notes in computer science · 2026
- A Neural Embedding Approach to Mapping Health Concepts to Concept Unique Identifiers
Studies in health technology and informatics · 2025
- Batch Classification of Text Data for Personal Health Experience Identification with LLM Batch Prompting
2025
- Answering List-Type Questions in Health Domain with Pretrained Large Language Model: A Case for COVID-19 Symptoms
Studies in health technology and informatics · 2024
- The Ability of Pretrained Large Language Models in Understanding Health Concepts in Social Media Posts
2024
- Large Language Model as Unsupervised Health Information Retriever
Studies in health technology and informatics · 2023
- Few-Shot Learning for Identification of COVID-19 Symptoms Using Generative Pre-trained Transformer Language Models
Communications in computer and information science · 2023
- Detection of Day-Based Health Evidence with Pretrained Large Language Models: A Case of COVID-19 Symptoms in Social Media Posts
2023
- Discovery of COVID-19 Symptomatic Experience Reported by Twitter Users
Studies in health technology and informatics · 2022
- Extraction of Medication-Effect Relations in Twitter Data with Neural Embedding and Recurrent Neural Network
Studies in health technology and informatics · 2022
- Studies in health technology and informatics×6
- Lecture notes in computer science×3
- International Journal of High Performance Computing and Networking×2
- Communications in computer and information science×2
- IEEE Conference Proceedings×2
- Matthew D. Turner
Biochemistry, Genetics and Molecular Biology · The Ohio State University
- Shengyang Wu
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Indika Kahanda
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Kyle Stirling
Biochemistry, Genetics and Molecular Biology · Indiana University
- Bernard de Bono
Biochemistry, Genetics and Molecular Biology · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile