400 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of FloridaUS8 papers
- University of Florida HealthUS5 papers
- Augusta UniversityUS2 papers
- Jilin UniversityCN2 papers
- Nvidia (United States)US2 papers
- U-M Rogel Cancer CenterUS2 papers
- University of MichiganUS2 papers
- University of New MexicoUS2 papers
- UNM Comprehensive Cancer Center2 papers
- Chengdu Medical CollegeCN1 paper
- Cornell UniversityUS1 paper
- Florida CollegeUS1 paper
8 papers
Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction
Cheng Peng, Xi Yang, Kaleb E Smith +4
Objective To develop soft prompt-based learning algorithms for large language models (LLMs), examine the shape of prompts, prompt-tuning using frozen/unfrozen LLMs, transfer learni…
A Study of Generative Large Language Model for Medical Research and Healthcare
Cheng Peng, Xi Yang, Aokun Chen +16
There is enormous enthusiasm and concerns in using large language models (LLMs) in healthcare, yet current assumptions are all based on general-purpose LLMs such as ChatGPT. This s…
Clinical Concept and Relation Extraction Using Prompt-based Machine Reading Comprehension
Cheng Peng, Xi Yang, Zehao Yu +3
Objective: To develop a natural language processing system that solves both clinical concept extraction and relation extraction in a unified prompt-based machine reading comprehens…
Contextualized Medication Information Extraction Using Transformer-based Deep Learning Architectures
Aokun Chen, Zehao Yu, Xi Yang +3
Objective: To develop a natural language processing (NLP) system to extract medications and contextual information that help understand drug changes. This project is part of the 20…
SODA: A Natural Language Processing Package to Extract Social Determinants of Health for Cancer Studies
Zehao Yu, Xi Yang, Chong Dang +12
Objective: We aim to develop an open-source natural language processing (NLP) package, SODA (i.e., SOcial DeterminAnts), with pre-trained transformer models to extract social deter…
Hybrid Density- and Partition-based Clustering Algorithm for Data with Mixed-type Variables
Shu Wang, Jonathan G. Yabes, Chung-Chou H. Chang
Clustering is an essential technique for discovering patterns in data. The steady increase in amount and complexity of data over the years led to improvements and development of ne…
Accurate and Efficient Estimation of Small P-values with the Cross-Entropy Method: Applications in Genomic Data Analysis
Yang Shi, Mengqiao Wang, Weiping Shi +3
Small -values are often required to be accurately estimated in large-scale genomic studies for the adjustment of multiple hypothesis tests and the ranking…
Efficiently estimating small p-values in permutation tests using importance sampling and cross-entropy method
Yang Shi, Huining Kang, Ji-Hyun Lee +1
Permutation tests are widely used for statistical hypothesis testing when the sampling distribution of the test statistic under the null hypothesis is analytically intractable or u…