Hi there👋I am Jiahui Li, a Ph.D. student in Computer Science at the University of Georgia, advised by Dr. Fei Dou. I obtained my M.S. in Scientific and Data-intensive Computing from University College London and my B.S. in Computer Science and Engineering from the University of Liverpool.
My research interests lie in mobile and wearable sensing, human-centered AI, and healthcare applications, with a focus on deep learning for physiological time series and signal processing. Previously, I was a research assistant at the Hong Kong University of Science and Technology, working with Prof. Dit-Yan Yeung.
I am always open to research collaborations — feel free to reach out!
📄 Download my CV (PDF) · View CV online
📝 Selected Publications
EarlyDx: An Admission-Anchored Benchmark for Open-Ended Generation of Evidence-Supported ED-Encounter Diagnoses
Jiahui Li, Ruili Fang, Zishuai Liu, Yutong Guo, Nan Yang, Wenzhan Song, Jin Lu, Fei Dou
Preprint. [pdf]
Peak-Detector: Explainable Peak Detection via Instruction-Tuned Large Language Models in Physiological Signals
Jiahui Li, Yida Zhang, Zixuan Zeng, Jiayu Chen, Yingjian Song, Yin Xiao, Nishan Dong, Junjie Lu, Younghoon Kwon, Xiang Zhang, Jin Lu, Wenzhan Song, Fei Dou
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2026. [paper] [arXiv]
DeepArrhythmia: Segment-Contextualized ECG Arrhythmia Classification via Selective Evidence Acquisition
Jiahui Li, Ruili Fang, Zishuai Liu, WenZhan Song, Jin Lu, Fei Dou
Preprint. [pdf]
ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Smart-Home Human Activity Modeling
Weihang You, Hanqi Jiang, Jiahui Li, Zishuai Liu, Tianming Liu, Jin Lu, Fei Dou
ACM SenSys 2026 (Proceedings of the 2026 ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems). [paper]
Peak-R1: Instruction-Tuned Large Language Models for Robust J-Peak Detection in Cardiomechanical Signals
Jiahui Li, Yida Zhang, Zixuan Zeng, Jiayu Chen, Xiang Zhang, Jin Lu, WenZhan Song, Fei Dou
NeurIPS 2025 Workshop on Learning from Time Series for Health.
Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges
Haoran Lu, Luyang Fang, Ruidong Zhang, et al.
Preprint. [pdf]
GenBench: A Benchmarking Suite for Systematic Evaluation of Genomic Foundation Models
Zicheng Liu, Jiahui Li, Siyuan Li, Zelin Zang, Cheng Tan, Yufei Huang, Yajing Bai, Stan Z. Li
Preprint. [pdf]
📖 Education
- 2024 - current, University of Georgia, Ph.D. in Computer Science. Advisor: Dr. Fei Dou.
- 2021 - 2022, University College London, M.S. in Scientific and Data-intensive Computing.
- 2017 - 2021, University of Liverpool / Xi’an Jiaotong-Liverpool University, B.S. in Computer Science and Engineering.
💼 Experiences
- 2024 - current, Ph.D. Student, University of Georgia. Advisor: Dr. Fei Dou.
- 2023 - 2024, Research Assistant, Hong Kong University of Science and Technology. Advisor: Prof. Dit-Yan Yeung.