Yang Ren

Postdoc, BIDS, Yale University

Joined

February 2025

Names

Yang Ren (Preferred)

Emails

****@yale.edu (Confirmed)

,

****@gmail.com (Confirmed)

Personal Links

Career & Education History

Postdoc

BIDS, Yale University (yale.edu)

2024 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

How Far Can LLMs Go On Cognitive Health Prediction? A Study On EMA Data
Sambit Mukherjee, Anthony Fu, Kai Zhao, Yang Ren, Dezhi Wu, Chih-Hsiang Yang
- ICLR 2026 Workshop LMRL Poster
- Readers: Everyone
Automatic uncovering of patient primary concerns in portal messages using a fusion framework of pretrained language models
Yang Ren, Yuqi Wu, Jungwei W. Fan, Aditya Khurana, Sunyang Fu, Dezhi Wu, Hongfang Liu, Ming Huang
- J. Am. Medical Informatics Assoc. 2024
- Readers: Everyone
Can GPT-4 Help Detect Quit Vaping Intentions? An Exploration of Automatic Data Annotation Approach
Sai Krishna Revanth Vuruma, Dezhi Wu, Saborny Sen Gupta, Lucas Aust, Valerie Lookingbill, Wyatt Bellamy, Yang Ren, Erin Kasson, Li-Shiun Chen, Patricia A. Cavazos-Rehg, Dian Hu, Ming Huang
- CoRR 2024
- Readers: Everyone
Utilizing Large Language Models to Identify Reddit Users Considering Vaping Cessation for Digital Interventions
Sai Krishna Revanth Vuruma, Dezhi Wu, Saborny Sen Gupta, Lucas Aust, Valerie Lookingbill, Caleb Henry, Yang Ren, Erin Kasson, Li-Shiun Chen, Patricia A. Cavazos-Rehg, Dian Hu, Ming Huang
- CoRR 2024
- Readers: Everyone
Classification of Patient Portal Messages with BERT-based Language Models
Yang Ren, Dezhi Wu, Aditya Khurana, George M. Mastorakos, Sunyang Fu, Nansu Zong, Jungwei Fan, Hongfang Liu, Ming Huang
- ICHI 2023
- Readers: Everyone
Improving Prediction and Risk Factor Analysis of Low Birthweight Baby Outcomes in a U.S. Hospital System
Yang Ren, Dezhi Wu, Yan Tong, Ana Lòpez-De Fede, Sarah Gareau
- ICHI 2022
- Readers: Everyone
Identification and Prediction of Low-Birthweight Baby Outcomes and Mom Risk Factors
Yang Ren, Dezhi Wu, Ana Lòpez-De Fede
- ICHI 2022
- Readers: Everyone
Automated Detection of Vaping-Related Tweets on Twitter During the 2019 EVALI Outbreak Using Machine Learning Classification
Yang Ren, Dezhi Wu, Avineet Kumar Singh, Erin Kasson, Ming Huang, Patricia A. Cavazos-Rehg
- Frontiers Big Data 2022
- Readers: Everyone
Using D-dimer as a Biomarker to Predict COVID-19 Disease Severity from Clinical Data of Hospitalized Patients: A Machine Learning Approach
Yuqi Wu, Yang Ren, Dezhi Wu, Sudha Xirasagar, Joseph Johnson
- ICHI 2022
- Readers: Everyone
Understanding the Nature of System-Related Issues in Machine Learning Frameworks: An Exploratory Study
Yang Ren, Gregory Gay, Christian Kästner, Pooyan Jamshidi
- 2020 (modified: 12 Jan 2022)
- CoRR 2020
- Readers: Everyone

Co-Authors

View all 33 co-authors