I am Yaxuan (Karlie) Li, a master’s student at McGill University. I worked on Human-AI Interaction, Wearables, Ubicomp, VR/AR/Multimedia, Machine Learning, and Computer Vision.
I am looking for a Ph.D. position in 2022 Fall.
News
10/13 One paper is accepted by IMWUT/Ubicomp!
10/13 I presented a lighting talk in UIST 2021!
09/09 Two papers submitted to CHI 2022! Finger Cross!
Publication
NeckFace: Continuously Tracking Full Facial Expressions on Neck-mounted Wearables
Tuochao Chen⋆ , Yaxuan Li⋆ , Songyun Tao⋆ , Hynchul Lim, Mose Sakashita, Ruidong Zhang, Francois Guimbretiere, Cheng Zhang
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., Vol. 5, No. 2, Article 58. Publication date: June 2021. (IMWUT/UbiComp)
Towards Context-aware Automatic Haptic Effect Generation for Home Theatre Environments
Yaxuan Li, Yongjae Yoo, Antoine Weill--duflos, Jeremy R. Cooperstock
ACM Symposium on Virtual Reality Software and Technology (VRST), 2021
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
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp)
Deep Learning in Human Activity Recognition With Wearable Sensors: A Review on Advances and Trends
Shibo Zhang⋆, Yaxuan Li⋆, Shen Zhang, Farzad Shahabi, Stephen Xia, Yu Deng, Nabil Alshurafa
[Appear on Arxiv soon] [Under review] Sensors, MDPI
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 paper, 2021
Safe navigation of quadrotors with jerk limited trajectory
Shupeng Lai, Menglu Lan, Yaxuan Li, Ben M. Chen
ISSN 2095-9184 (print); ISSN 2095-9230 (online); Frontiers of Information Technology & Electronic Engineering (SCI)
The Research on Real-time Monitoring Platform of Electric Propulsion System
Yan Gao, Jing Zhang, Yaxuan Li, Jin Liu
Mar 2017, Vol. 36 Issue 3, p83-104. 4p. Research & Exploration in Laboratory.
Research Experience
Research Intern for Saliency Detection and Virtual Reality
Advisors: Prof. David Lindlbauer
HCII, Carnegie Mellon Univerisity
Research Intern for Pose Reconstruction and Recognition by Wearable Devices
Advisors: Prof. Cheng Zhang
Cornell University
Research Project for Visual, Audio and Tactile Multimodal Fusion Devices
Advisors: Prof. Jeremy Cooperstock
McGill University
Graduation Project for keypoint matching for 3D non-rigid shape
Advisors: Prof. Lee Gim Hee
National University of Singapore
Research Project for Unmanned Systems (UAV), Realtime 3D Maps Generation
Advisors: Prof. Ben M. Chen, Dr. Shupeng Lai
National University of Singapore
Industry Experience
Machine Learning Intern
Languages
English [Professional]
German [Professional]
Chinese [Native]
Research
&
Engineering
Making the world a better place.
-- Silicon Valley
