Ruisi Li

I am a PhD student in the RIDER Lab at Auburn University Dept of Computer Science and Software Engineering , working on Physiologically Grounded Models with Prof. Jiaqi Wang . My research focuses on multi-modal learning, representation learning, and foundation models for physiological dataset.

Prior to starting my PhD, I obtained an MS in Computer Engineering from New York University. I worked with Prof. Yao Wang and Prof. Adeen Flinker in the NYU Video Lab .

Beyond research, I really enjoy skiing ⛷️. Feel free to drop me an email if you would like to chat about LLMs for healthcare, AI, or skiing 😊.

Google Scholar · GitHub · LinkedIn · rul0003[at]auburn[dot]edu

News

Jan 2027 Will be starting my PhD in Computer Science at Auburn University.

Sep 2026 One paper was accepted by EMNLP 2026 Main Conference.

May 2026 One paper was accepted by IEEE EMBC 2026 on sEMG encoding models.

Selected Publications

Comparison of sEMG Encoding Accuracy Across Speech Modes Using Articulatory and Phoneme Features

Chenqian Le*, Ruisi Li*, Beatrice Fumagalli, Yasamin Esmaeili, Xupeng Chen, Amirhossein Khalilian-Gourtani, Tianyu He, Adeen Flinker, Yao Wang

* Equal contribution

IEEE EMBC, 2026

Large Language Models in Resolving Contextual Knowledge Conflicts

Xinye Yang, Zhenyang Liu, Ruisi Li, Yuanyuan Lei

Preprint

Research

Multimodal Physiological Learning

Developing representation-learning methods that capture relationships between multiple physiological modalities such as ECG and PPG.

AI-Powered Speech Prosthetics Using sEMG Signals

Restore communication for people with aphasia, anarthria, or other voice disorders.

Awards

Graduate Scholarship of NYU 2024-2026