I study CS at Johns Hopkins as a freshman, currently researching Embodied Intelligence.
I also have hands-on experience in full-stack development with SwiftUI (iOS) and Flutter (Progressive Web App), as well as in deploying AI models into real-world applications.
Besides, I enjoy photography, collecting vinyls, and reading sci-fis. I love "chill walking": wandering without a goal but enjoying the movement, the talks, and the thoughts along.
Publications
Rao Fu*, Zehao Wen*, Zichen Liu*, and Srinath Sridhar
ECCV 2024
Yuzhang Shang*, Bingxin Xu*, Weitai Kang, Mu Cai, Yuheng Li, Zehao Wen, Zhen Dong, Kurt Keutzer, Jae Lee Yong*, and Yan Yan*
ArXiv 2024
Zehao Wen and Rabih Younes
CONF-CDS 2023
Highlighted Projects
A chatbot-style PWA that provides accurate medical knowledge and basic diagnostic suggestions. Used by 80+ rural doctors in Fujian and Henan provinces; 800+ users.
A PWA that analyzes a 45-second facial video to extract photoplethysmography signals, from which 15 vital signs (e.g. blood pressure) and the risk of 14 diseases (e.g. heart failure) are predicted, using deep learning models on a secure cloud server.
An iOS app featuring 8 utilities for travel: airport maps, security queue waiting time info, airport info, translator, transportation recommendation, immigration policy info, cultural tips, and a LLM chatbot. Features derived from 100+ street market interviews at UMich.