
About Me
NEWS: We have multiple openings for Postdoc/PhDs/Visiting Students. For more details, please refer to Join US. Thanks!
Welcome! I am an Assistant Professor at The Hong Kong University of Science and Technology (HKUST). Prior to HKUST, I received my Ph.D. in Computer Science at Columbia University in 2024, under the supervision of Prof. Xia Zhou and Prof. Fred Jiang. I received my master's degree from Dartmouth College, and my bachelor's degree from UESTC. I was an visiting student in my junior year at EECS department of National Chiao Tung University. I spent my senior year as a research assistant at Missouri S&T, advised by Professor Y. Rosa Zheng.
Our lab is passionate about solving real-world challenges with societal impacts. Our recent research focuses on building practically deployable systems and generalizable AI algorithms, particularly on the collection and analysis of human data, including physical signals (e.g., movement, force, velocity) and physiological signals (e.g., electrocardiogram/ECG, electromyogram/EMG, brainwaves/EEG, body impedance.) These signals are crucial for understanding human states, as human states are primarily influenced by physiological signals and manifested through physical signals. By efficiently acquiring and interpreting these two types of signals, we can comprehensively understand human states and use this data to solve practical problems in various fields (including but not limited to healthcare, education, interaction, entertainment ), thereby improving the quality of life. Our research requires integrating various technologies (such as machine learning, signal processing, wireless communications, integrated circuits, edge computing, operating systems, 3D printing, etc.) to address issues in two main areas simultaneously:
- Hardware - System Design: Building systems to capture the desired data while minimizing user awareness of the system’s presence (imperceptibility), thus ensuring a natural and comfortable user experience.
- Software - Algorithm Implementation: Leveraging the (limited) collected data to design algorithms and machine learning models that are generalizable to new user polulation and enrionments while maintaining low computation overhead.
Feel free to contact me if interested in similar topics!
Recent News
- [01/2025] Joey was hightlighted in GetMobile from ACM SIGMOBILE!
- [11/2024] Invited to serve as TPC for ACM SenSys 2025, please consider submitting!
- [10/2024] Invited to join the Editorial Board of ACM IMWUT as an Associate Editor, please consider submitting!
- [10/2024] Invited to serve as TPC for ACM MobiSys 2025, please consider submitting!
- [10/2024] Humbled to be named the finalist for the UbiComp/IMWUT Gaetano Borriello Outstanding Student Award!
- [09/2024] Arrived in Hong Kong and officially started at HKUST!
- [07/2024] Invited to serve as a keynote speaker in UbiComp MIMSVAI 2024 Workshop! See you in Melbourne!
- [07/2024] Successfully defended my Ph.D. dissertation! A heartfelt THANK YOU to everyone who supported me along this journey!
- [06/2024] Thrilled to receive the Best Paper Award, the Best Demo Award (People’s Choice) and the Best Presentation Award of the Rising Stars Forum at MobiSys 2024!
- [04/2024] Selected as one of the Rising Stars in Cyber-Physical Systems!
- [04/2024] Selected as one of the MobiSys Rising Stars 2024!
- [03/2024] Our paper “Joey:Supporting Kangaroo Mother Care with Computational Fabrics” has been conditionally accepted to MobiSys 2024. The hardest user study ever! But I’m immensely proud of this work. We introduced a fabric-based physiological sensing system to unobtrusively monitor the infant’s ECGs and the skin-to-skin contact between the infant and the caregiver. The potential to enhance Kangaroo Mother Care (for pre-term babies!) holds significant importance and meaning for me! Please check out the paper here and project website for more details!
- [01/2024] Gave an invited talk at CUHK. Thank Prof. Guoliang Xing for the host!
- [12/2023] My internship work “Normalization is All You Need: Robust Full-Range Contactless SpO2 Estimation Across Users” at Samsung Research is accepted at ICASSP 2024 as an oral presentation! We proposed a simple yet effective algorithm to handle the cross-user variation (e.g., different skin tones and ages). The proposed algorithm is a A1 patent for Samsung and now being deployed to Samsung products! Please check out our paper here!
- [11/2023] Gave an invited talk at North Carolina State University and a guest lecture in CS 6998 at Columbia Univeristy.
- [09/2023] Won the Best Deomo Award at MobiCom 2023 and the Best Teaser Award at UbiComp 2023.
- [09/2023] Happy and honored to serve as a JEDI Ambassador for UbiComp/ISWC 2023. I eagerly anticipate collaborating with the JEDI chairs to ensure UbiComp/ISWC 2023 is both accessible and inclusive for all attendees. See you in Cancun!
- [07/2023] Our paper “Catch Me If You Can: Laser Tethering with Highly Mobile Targets” has been accepted by NSDI 2024. We build a generic framework that tightly integrates laser steering with optical tracking to maintain laser connectivity with high-velocity targets, creating a constantly connected, laser-based tether between the Lasertag core unit and a remote target. Please check out the project website for more details!
- [07/2023] Our paper “N-euro Predictor: A Neural Network Approach for Smoothing and Predicting Motion Trajectory” has been accepted by IMWUT/UbiComp2023. This paper highlights our efforts in addressing the motion-to-photo latency and jitter in AR/VR applications by utilizing prediction techniques. The research was conducted during my internship at Snap. Check out the short intro video and the paper here. The same prediction scheme was leveraged in our NSDI 2024 paper for high-speed objects motion prediction.