Kaylee Yaxuan Li

Ph.D. Candidate in Computer Science and Engineering
University of Michigan

I am a Ph.D. candidate in Computer Science and Engineering at the University of Michigan, advised by Alanson P. Sample and Kang G. Shin.

My research develops wearable and ubiquitous AI systems that interpret human activity and context from multimodal data. I focus on sensing and efficient semantic representations of daily life, long-horizon memory architectures for scalable reasoning, and proactive assistance on resource-constrained wearable and mobile platforms. My work seeks to transform everyday human experience into persistent, actionable intelligence that augments human perception, memory, reasoning, and decision-making, with broader implications for physical AI and human–agent interaction.

Selected Publications

2026

  • GOHi: Goal-Oriented Highlight Extraction for Long-Form Egocentric Video

    Kaylee Yaxuan Li, Ke Sun, Kang G. Shin, Alanson P. Sample, Amy Karlson, Eric Whitmire, Yifan Wang

    ACM IMWUT, 2026

  • EchoScriptor: Automatic Lifelogging Narratives via Activity-Based Audio–Language Model

    Kaylee Yaxuan Li, Xinghao Zhou, Haizhong Zheng, Kang G. Shin, Alanson P. Sample

    ACM CHI, 2026

    PaperPDF

  • AutoCLC: Towards Automated Assessment and Feedback on Closed-Loop Communication in Team-based Healthcare Simulation Training

    Kaylee Yaxuan Li, Kunpeng Huang, Bryan Harmer, Casey Ducharme, Benjamin Heasman, Eleanor Falahee, James M. Cooke, Michael Cole, Alanson P. Sample, Vitaliy Popov

    ACM Transactions on Computing for Healthcare, vol. 7, no. 1, 2026

    Paper

2025

  • Leveraging AI for Automated Evaluation of Closed-Loop Communication in VR-based Acute Care Team Training

    Vitaliy Popov, Kaylee Yaxuan Li, Kunpeng Huang, Alanson P. Sample, Bryan Harmer, James Cooke, Michael Cole

    International Conference on Computer-Supported Collaborative Learning (CSCL), 2025

    Paper

  • Figure from HandSAW

    HandSAW: Wearable Hand-based Event Recognition via On-Body Surface Acoustic Waves

    Kaylee Yaxuan Li, Yasha Iravantchi, Yichen Zhu, Hyunmin Park, Alanson P. Sample

    ACM IMWUT, vol. 9, no. 1, 2025

    PaperPDF

2024

  • ECG Signal Construction From Heart Sounds via Single Node, Surface Acoustic Sensing

    Kaylee Yaxuan Li, Yasha Iravantchi, Hyunmin Park, Yiming Liu, Alanson P. Sample

    IEEE EMBC, 2024

    PubMed

2022

  • Figure from BodyTrak

    BodyTrak: Inferring Full-body Poses from Body Silhouettes Using a Miniature Camera on a Wristband

    Hyunchul Lim, Yaxuan Li, Matthew Dressa, Fang Hu, Jae Hoon Kim, Ruidong Zhang, Cheng Zhang

    ACM IMWUT, vol. 6, no. 3, 2022

    PaperPDF

  • Figure from HAR Review

    Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances

    Shibo Zhang, Yaxuan Li, Shen Zhang, Farzad Shahabi, Stephen Xia, Yu Deng, Nabil Alshurafa

    Sensors, vol. 22, no. 4, 2022

    Best Paper Award

    PaperarXiv

2021

  • Figure from SpeeChin

    SpeeChin: A Smart Necklace for Silent Speech Recognition

    Ruidong Zhang, Mingyang Chen, Benjamin Steeper, Yaxuan Li, Zihan Yan, Yizhuo Chen, Songyun Tao, Tuochao Chen, Hyunchul Lim, Cheng Zhang

    ACM IMWUT, vol. 5, no. 4, 2021

    PaperPDF

  • Figure from Haptic Effects

    Towards Context-aware Automatic Haptic Effect Generation for Home Theatre Environments

    Yaxuan Li, Yongjae Yoo, Antoine Weill-Duflos, Jeremy R. Cooperstock

    ACM VRST, 2021

    Paper

  • Figure from NeckFace

    NeckFace: Continuously Tracking Full Facial Expressions on Neck-mounted Wearables

    Tuochao Chen, Yaxuan Li, Songyun Tao, Hyunchul Lim, Mose Sakashita, Ruidong Zhang, François Guimbretière, Cheng Zhang

    ACM IMWUT, vol. 5, no. 2, 2021

    PaperVideo

  • Figure from Haptic Effects

    Context-aware Automatic Haptic Effect Generation Algorithm for Improved Content Viewing Experiences

    Yaxuan Li, Yongjae Yoo, Antoine Weill-Duflos, Jeremy R. Cooperstock

    IEEE World Haptics Conference (WHC), Work-in-Progress, 2021

2019

  • Figure from Quadrotor Navigation

    Safe Navigation of Quadrotors with Jerk Limited Trajectory

    Shupeng Lai, Menglu Lan, Yaxuan Li, Ben M. Chen

    Frontiers of Information Technology & Electronic Engineering, vol. 20, no. 1, 2019

    Paper