College of Engineering

University of Georgia

Athens, Georgia, USA

Jiahui Li

Ph.D. Student · Deep Learning for Time Series, Signal Processing & Biomedical AI

I am a Ph.D. student in the College of Engineering at the University of Georgia, advised by Dr. Fei Dou. My research studies deep learning for time series, signal processing, and biomedical applications — with a particular interest in systems that connect machine learning research to everyday life.

I work on practical AI problems spanning cardiomechanical and physiological signals, instruction-tuned large language models, time-series forecasting, and scientific discovery. Before UGA, I was a research assistant at the Hong Kong University of Science and Technology, and I hold an M.S. from University College London and a B.S. from the University of Liverpool.

News

• Jun 2026 Peak-Detector is published in ACM IMWUT (UbiComp).
• 2026 Two new preprints released: Peak-Detector and DeepArrhythmia.
• 2025 Peak-R1 accepted to the NeurIPS 2025 Workshop on Learning from Time Series for Health.

Selected Publications

1. 2026
   Peak-Detector: Explainable Peak Detection via Instruction-Tuned Large Language Models in Physiological Signals J. Li, Y. Zhang, Z. Zeng, J. Chen, Y. Song, Y. Xiao, N. Dong, J. Lu, Y. Kwon, F. Dou Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) Paper
2. 2026
   DeepArrhythmia: Segment-Contextualized ECG Arrhythmia Classification via Selective Evidence Acquisition J. Li, R. Fang, Z. Liu, W.Z. Song, J. Lu, F. Dou arXiv preprint arXiv:2605.16441 Paper
3. 2026
   ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Smart-Home Human Activity Modeling W. You, H. Jiang, J. Li, Z. Liu, T. Liu, J. Lu, F. Dou Proceedings of the 2026 ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems Paper
4. 2025
   Peak-R1: Instruction-Tuned Large Language Models for Robust J-Peak Detection in Cardiomechanical Signals J. Li, Y. Zhang, Z. Zeng, J. Chen, X. Zhang, J. Lu, W.Z. Song, F. Dou NeurIPS 2025 Workshop on Learning from Time Series for Health Link
5. 2025
   Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges H. Lu, L. Fang, R. Zhang, et al. arXiv preprint arXiv:2507.19672 Paper
6. 2024
   GenBench: A Benchmarking Suite for Systematic Evaluation of Genomic Foundation Models Z. Liu, J. Li, S. Li, Z. Zang, C. Tan, Y. Huang, Y. Bai, S.Z. Li arXiv preprint arXiv:2406.01627 Paper

See all publications →

Education

1. 2024–
   Ph.D. (in progress) University of Georgia · Advisor: Dr. Fei Dou
2. 2022
   M.S. in Scientific and Data-intensive Computing University College London
3. 2021
   B.S. in Computer Science and Engineering University of Liverpool