Xin Liu

Xin Liu is a Research Scientist at Google Consumer Health Research and a research affliate in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. He received his PhD in Computer Science from the University of Washington in 2023, where he was advised by Shwetak Patel and Daniel McDuff. His PhD research was supported by the Google PhD Fellowship .

Before joining UW, he obtained his bachelor’s degree in computer science from the University of Massachusetts Amherst in 2018, where he started his mobile health research journey with Sunghoon Ivan Lee .

His work is at the intersection of ubiquitous and mobile computing, machine learning, and health. In Xin's research, he studies how to enable mobile health + AI at scale, with a focus on building foundation models for sensor and consumer health data.

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

Selected Publications

See a full-list of publication at my Google Scholar. I publish papers under UW / Google.

Underscore denotes students/interns I mentored.

	What Are the Odds? Language Models Are Capable of Probabilistic Reasoning Akshay Paruchuri, Jake Garrison, Shun Liao, John Hernandez, Jacob Sunshine, Tim Althoff, Xin Liu, Daniel McDuff EMNLP 2024 (Main) pdf / bibtex
	Towards a Personal Health Large Language Model Justin Cosentino, Anastasiya Belyaeva‡, *Xin Liu‡*, Nicholas A. Furlotte, Zhun Yang, Chace Lee, Erik Schenck, Yojan Patel, Jian Cui, Logan Douglas Schneider, Robby Bryant, Ryan G. Gomes, Allen Jiang, Roy Lee, Yun Liu, Javier Perez, Jameson K. Rogers, Cathy Speed, Shyam Tailor, Megan Walker, Jeffrey Yu, Tim Althoff, Conor Heneghan, John Hernandez, Mark Malhotra, Leor Stern, Yossi Matias, Greg S. Corrado, Shwetak Patel, Shravya Shetty, Jiening Zhan, Shruthi Prabhakara, Daniel McDuff$‡, Cory Y. McLean$‡ * = co-first author, $ = equal advising, ‡ = corresponding author pdf / bibtex / Google Research Blog
	Transforming Wearable Data into Health Insights using Large Language Model Agents Mike A. Merrill, Akshay Paruchuri, Naghmeh Rezaei, Geza Kovacs, Javier Perez, Yun Liu, Erik Schenck, Nova Hammerquist, Jake Sunshine, Shyam Tailor, Kumar Ayush, Hao-Wei Su, Qian He, Cory Y. McLean, Mark Malhotra, Shwetak Patel, Jiening Zhan, Tim Althoff, Daniel McDuff, Xin Liu pdf / bibtex / Google Research Blog
	rPPG-Toolbox: Deep Remote PPG Toolbox Xin Liu, Girish Narayanswamy, Akshay Paruchuri, Xiaoyu Zhang, Jiankai Tang, Yuzhe Zhang, Roni Sengupta, Shwetak Patel, Yuntao Wang, Daniel McDuff Conference on Neural Information Processing Systems (NeurIPS' 23 Datasets and Benchmarks Track) denotes equal contribution* pdf / bibtex
	Large Language Models are Few-Shot Health Learners Xin Liu, Daniel McDuff, Geza Kovacs, Isaac Galatzer-Levy, Jacob Sunshine, Jiening Zhan, Ming-Zher Poh, Shun Liao, Paolo Di Achille, Shwetak Patel White Paper, 2023 pdf / bibtex
	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 / Google Research Blog
	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) Distinguished Paper Award 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