Zitao Shuai

About Me

Hi! I’m Zitao Shuai [帅子滔], I’m currently a PhD student at UCLA Computer Science Department advised by Prof.Yuzhe Yang. I’m fortunate to work with Prof.Liyue Shen at the University of Michigan during my master’s studies, and with Prof.Kun Kuang at Zhejiang University during my undergraduate’s studies. And I’m also a member of CKC Honors College during my undergraduate’s studies.

I have broad interests in Research Interests in AI for Healthcare, Trustworthy AI, and Multimodal representation learning.

Research Interests

AI for Healthcare
Multi-modal learning
Trustworthy AI

My research interests are in multi-modal learning and AI for healthcare, especially in leveraging multi-source data to deliver trustworthy solutions for real-world healthcare problems. These interests have drawn me to explore two main research questions:

Foundation Model for Wearable Data: How can we build multi-modal foundation models for heterogeneous and long-context wearable signal data?
Scientific Finding with Wearable Data: How can we uncover correclations between diseases and signal data collected from wearable devices with modern AI techniques?

News

[Jul. 2025] 1 paper accepted in TMLR!
[May. 2025] 1 paper accepted in ACL!
[Apr. 2025] Joined Health Intelligence Lab!
[Mar. 2025] A white book for Large-Scale AI in Telecom I have participated in released!
[Feb. 2025] 1 paper accepted in Nature Scientific Data!
[Jan. 2025] 1 paper accepted in ICLR2025!
[Dec. 2024] 1 paper accepted in AAAI2025!
[Aug. 2024] 1 paper accepted in IEEE Journal of Selected Topics in Signal Processing!
[Jun. 2024] 1 paper accepted in MICCAI2024!
[Dec. 2023] 1 paper accepted in Cell Patterns!
[Sep. 2023] Joined Biomedical AI Lab!
[Jun. 2022] Joined Trustworthy AI Lab!

Selected Publications

[Cell Patterns]

Unified fair federated learning for digital healthcare

Zhang, Fengda and Shuai, Zitao[co-first author] and Kuang, Kun and Wu, Fei and Zhuang, Yueting and Xiao, Jun

PDF Trustworthy AI

[TMLR]

Distributionally Robust Alignment for Medical Federated Vision-Language Pre-training Under Data Heterogeneity

Shuai, Zitao, Wu, Chenwei, Tang, Zhengxu and Shen, Liyue

PDF Trustworthy AI

[ICLR2025]

Dynamic Modeling of Patients, Modalities and Tasks via Multi-modal Multi-task Mixture of Experts

Wu, Chenwei and Shuai, Zitao[co-first author] and Tang, Zhengxu and Wang, Luning and Shen, Liyue

PDF multi-modal learning

Outside the Office

I’m a tennis enthusiast and have been playing since I was 9. My favorite player is Rafael Nadal, not only for his exceptional athleticism but also for his remarkable sportsmanship - give his best on every shot until the very end of the match, which inspires me to persevere in my research endeavors and relentlessly pursue my scientific aspirations.