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 (CORE A*/CSRankings). [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 (CSRankings). [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 (CORE A*/CSRankings). [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†
Under review at KDD 2027. [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.

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

First-author papers under review

Jiahui Li, Yutong Guo, Nan Yang, Wenzhan Song, Jin Lu, Fei Dou†. “DynamicDx: Evaluating Perception and Evidence Acquisition in Video-Grounded Conversational Diagnosis.” Under review at ICLR 2027.
Jiahui Li, Yuanyuan Zhang, Yida Zhang, Zixuan Zeng, Jiayu Chen, Yingjian Song, Yin Xiao, Nishan Dong, Junjie Lu, Xiang Zhang, Jin Lu, Wenzhan Song, Fei Dou†. “BEACON-BP: A Feasibility Study of Bed-Frame Geophone Sensing for Contactless Blood Pressure Estimation with Arterial-Line Reference.” Under review at IMWUT 2026.

Collaborative papers

Yuyan Wu, Yuanyuan Zhang, Yida Zhang, Jiahui Li, Fei Dou, Wenzhan Song, Hae Young Noh. “Contact-Free Continuous ABP Waveform Reconstruction via Triaxial Bodyseismography.” HumanSys Workshop @ MobiCom 2026.
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.” Major revision at IEEE Transactions on Mobile Computing.
Md Shadab Alam, Linghan Zhang, Jiahui Li, Fei Dou, Pavlo Bazilinskyy. “Collision Patterns and Reporting Blind Spots in 971 California Autonomous Vehicle Crash Reports.” Major revision at Traffic Injury Prevention.
Yida Zhang, Zixuan Zeng, Jiayu Chen, Yuanyuan Zhang, Yingjian Song, Jiahui Li, Xiang Zhang, Zaipeng Xie, Xiao Yin, Jie Yuan, Fei Dou, Wenzhan Song. “SeismoAF: AFib Detection from BodySeismoGraphy via Physiology-Guided AFib Synthesis and Context-Aware Adaptation.” Under review at IMWUT 2026.
Yida Zhang, Yuanyuan Zhang, Jiayu Chen, Zixuan Zeng, Yingjian Song, Jiahui Li, Xiao Yin, Zaipeng Xie, Xiang Zhang, Guoliang Xing, Zhenlin An, Fei Dou, Wenzhan Song. “BSG2ECG: Contactless Electrocardiogram Monitoring with Triaxial Bodyseismography.” Under review at PerCom 2027.
Jiayu Chen, Zixuan Zeng, Yingjian Song, Yida Zhang, Jiahui Li, Zhenlin An, Xiang Zhang, Fei Dou, Deepak Das, Bradley Phillips, Wenzhan Song. “SeismoApnea: Bodyseismography-Based Overnight Sleep Apnea Monitoring and Apnea-Hypopnea Index Estimation.” Under review at PerCom 2027.
Zixuan Zeng, Jiayu Chen, Yida Zhang, Yingjian Song, Jiahui Li, Zaid Pitafi, Xiang Zhang, Fei Dou, Deepak Das, Bradley Phillips, Wenzhan Song. “BSGSleep: Sleep Quality Monitoring via Multi-Axis Bodyseismography.” Under review at PerCom 2027.

📖 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.