Xin Liu

Xin Liu is a Research Scientist at Google Consumer Health Research. He received his PhD in Computer Science from Paul G. Allen School of Computer Science & Engineering at the University of Washington, where he was advised by Shwetak Patel and Daniel McDuff. His PhD research was supported by Google PhD Fellowship .

Before joining UW, he obtained his bachelor’s degree in computer science from the University of Massachusetts Amherst in 2018, where his advisor was Sunghoon Ivan Lee .

Email / CV / Bio / Google Scholar / Twitter / Github / Linkedin

I defended my thesis in March and will join Google as a full-time Research Scientist in April 2023! I am very excited to embark on this new journey. My research will be focused on foundation models for mobile health!

Work Experience

Consumer Health Research	Full-time Research Scientist	(April, 2023 - Present)
Consumer Health Research	Research Intern + Part-time Student Researcher	(Sep, 2021 - April, 2023)
Human Understanding and Empathy Group	Research Intern	(June, 2021 - Sep, 2021)
Machine Learning Systems Team	Part-time Research Intern	(Nov, 2020 - May, 2021)
Allen Institute for AI	Research Intern	(June, 2019 - Sep, 2019)

Selected Publication

My research interests lie in the intersection of efficient machine learning, sensing and healthcare — bringing machine learning to edge and mobile devices to advance the state-of-the-art healthcare. Currently, my thesis research focuses on enabling accessible, equitable, and useful non-contact camera-based physiological sensing. See a full-list of publication at my Google Scholar.

	SimPer: Simple Self-Supervised Learning of Periodic Targets Yuzhe Yang, Xin Liu, Jiang Wu, Silviu Borac, Dina Katabi, Ming-Zher Poh, Daniel McDuff International Conference on Learning Representations (ICLR' 23) Oral, Notable Top 5%, Review Ranked Top 5 among 4922 Submissions (Top 0.1%) pdf / bibtex
	GLOBEM: Cross-Dataset Generalization of Longitudinal Human Behavior Modeling Xuhai Xu, Xin Liu, Han Zhang, Weichen Wang, Subigya Kumar Nepal, Kevin S. Kuehn, Jeremy F Huckins, Margaret E Morris, Paula S. Nurius, Eve Ann Riskin, Shwetak Patel, Tim Althoff, Andrew Campbell, Anind Dey, Jennifer Mankoff Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/Ubicomp 2023) pdf / bibtex
	SCAMPS: Synthetics for Camera Measurement of Physiological Signals Daniel McDuff, Miah Wander, Xin Liu, Brian Hill, Javier Hernandez, Jonathan Lester, Tadas Baltrusaitis Conference on Neural Information Processing Systems (NeurIPS' 22) Oral, Top 1% pdf / bibtex
	Efficientphys: Enabling simple, fast and accurate camera-based vitals measurement Xin Liu, Brian Hill, Ziheng Jiang, Shwetak Patel, Daniel McDuff IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023) pdf / bibtex
	Using High-Fidelity Avatars to Advance Camera-based Cardiac Pulse Measurement Daniel McDuff, Javier Hernandez, Xin Liu, Josh Fromm, Erroll Wood, Tadas Baltrušaitis IEEE Transactions on Biomedical Engineering (TBME 2022) pdf / bibtex
	MobilePhys: Personalized Mobile Camera-Based Contactless Physiological Sensing Xin Liu, Yuntao Wang, Sinan Xie, Xiaoyu Zhang, Zixian Ma, Daniel McDuff, Shwetak Patel Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/Ubicomp 2022) pdf / bibtex
	MetaPhys: Few-Shot Adaptation for Non-Contact Physiological Measurement Xin Liu, Ziheng Jiang, Josh Fromm, Xuhai Xu, Shwetak Patel, Daniel McDuff ACM Conference on Health, Inference, and Learning (ACM-CHIL 2021) Selected Media: IEEE Spectrum , ACM TechNews , GeekWire , UW News pdf / bibtex
	Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement Xin Liu, Josh Fromm, Shwetak Patel, Daniel McDuff Conference on Neural Information Processing Systems (NeurIPS' 20) Oral, Top 1%, 105 out of 9454 Submissions Selected Media: Microsoft Research Webinar, Microsoft Research Blog, ZDNet pdf / bibtex
	SplitSR: An End-to-End Approach to Super-Resolution on Mobile Devices Xin Liu, Yuang Li, Josh Fromm, Yuntao Wang, Ziheng Jiang, Alex Mariakakis, Shwetak Patel Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/Ubicomp 2021) pdf / bibtex
	The Use of A Finger-Worn Accelerometer for Monitoring of Hand Use in Ambulatory Settings Xin Liu, Smita Rajan, Nathan Ramasarma, Paolo Bonato and Sunghoon Ivan Lee IEEE Journal of Biomedical and Health Informatics (J-BHI 2019) Cover Article Nominee pdf / bibtex

Teaching Experience

Winter 2021/2022 - TECHIN 513: Managing Data and Signal Processing, Graduate Teaching Assistant

Fall 2017 - CS328: Mobile Health & Sensing, Undergraduate Course Assistant
Outstanding Course Assistant Award

Misc.

During my undergraduate studies, I spent a huge amount of effort to push the international community to engage various leadership experiences at the university. I was the first international peer mentor in the residential life office and the first international student consultant in the department of information and technology. I worked at six different departments during my undergrd years :p

During my free time, I enjoy snowboarding, climbing and playing tennis with my partner. I am also a big fan of NBA.

Website Credits to Jon Barron source code and Siddhartha Gairola source code