Hi there👋I am Jiahui Li, a Ph.D. student in Computer Science at the University of Georgia, supervised by Dr. Fei Dou. I obtained my M.Sc. in Scientific and Data-Intensive Computing from University College London and my B.Sc. in Computer Science and Engineering from the University of Liverpool.
My research focuses on evidence-grounded and explainable artificial intelligence for clinical diagnosis and health sensing, including multimodal clinical reasoning, physiological time-series modeling, and trustworthy evaluation. My work spans electrocardiography (ECG), photoplethysmography (PPG), ballistocardiography (BCG), bodyseismography (BSG), vision-language models, and instruction-tuned large language models. 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
∗ equal contribution, † corresponding author. Author names in bold indicate myself.
DeepArrhythmia: Segment-Contextualized ECG Arrhythmia Classification via Selective Evidence Acquisition
Jiahui Li, Ruili Fang, Zishuai Liu, Wenzhan Song, Jin Lu, Fei Dou†
NeurIPS 2026. [pdf]
Peak-Detector: Explainable Peak Detection via Instruction-Tuned Large Language Models in Physiological Signal
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†
ACM IMWUT (UbiComp) 2026. [paper] [arXiv]
ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Smart-Home Human Activity Modeling
Weihang You∗, Hanqi Jiang∗, Jiahui Li∗ (co-first author), Zishuai Liu∗, Tianming Liu, Jin Lu, Fei Dou†
ACM SenSys 2026. [paper]
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, 2026. [pdf]
Peak-R1: Instruction-Tuned Large Language Models for Robust J-Peak Detection
Jiahui Li, Yida Zhang, Zixuan Zeng, Jiayu Chen, Xiang Zhang, Jin Lu, Wenzhan Song, Fei Dou†
Learning from Time Series for Health Workshop @ NeurIPS 2025. [openreview]
Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges
Haoran Lu, Luyang Fang, Ruidong Zhang, and others, including Jiahui Li
Preprint, 2025. [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, 2024. [pdf]
📚 Other Publications
- Yuanyuan Zhang, Yida Zhang, Jiahui Li, Yuyan Wu, Fei Dou, Xiao Yin, Zhenlin An, Hae Young Noh, Wenzhan Song. “Physics-Constrained Deep Learning Model for Contactless Blood Pressure Monitoring from Triaxial Bodyseismography.” arXiv preprint, 2026. [pdf]
📖 Education
- Aug. 2024 - present, University of Georgia, Ph.D. in Computer Science (GPA 4.00/4.00). Advisor: Dr. Fei Dou.
- 2021 - 2022, University College London, M.Sc. in Scientific and Data-Intensive Computing (GPA 3.62/4.00).
- 2017 - 2021, University of Liverpool, B.Sc. in Computer Science and Engineering (GPA 3.92/4.00).
💼 Experiences
- Aug. 2024 - present, Graduate Research Assistant, School of Computing, University of Georgia. Advisor: Dr. Fei Dou.
- 2023 - 2024, Research Assistant, Hong Kong University of Science and Technology. Supervisor: Prof. Dit-Yan Yeung. Built MGTST, a multi-scale, cross-channel gated Transformer for multivariate long-term forecasting.
👨🏫 Teaching
- Fall 2024, Spring 2025, Teaching Assistant, CSCI 1302: Software Development, University of Georgia.
- Fall 2025, Fall 2026, Teaching Assistant, CSCI 4470: Algorithms, University of Georgia.