I am a Ph.D. student in the Paul G. Allen School of Computer Science & Engineering at the University of Washington – Seattle. I am advised by Shwetak Patel.  I also work closely with Daniel McDuff and Josh Fromm.  

Before joining UW, I obtained my bachelor’s degree in computer science from the University of Massachusetts Amherst in 2018, where my advisor was Sunghoon Ivan Lee.  While at UMass Amherst, I received a 21st Century Leaders Award, Rising Researcher Award, and Outstanding Undergraduate Achievement Award. 

My research interest lie in the intersection of on-device machine learning, sensing and healthcare bringing machine learning to edge and mobile devices to advance the state-of-the-art healthcare 🙂 

Contact: xliu0 at cs dot washington dot edu


[6] Xin Liu, Ziheng Jiang, Josh Fromm, Xuhai Xu, Shwetak Patel, Daniel McDuff, “MetaPhys: Unsupervised Few-Shot Adaptation for Non-Contact Physiological Measurement”, Preprint, PDF

[5] Xin Liu, Josh Fromm, Shwetak Patel, Daniel McDuff, “Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement”, To Appear in  Conference on Neural Information Processing Systems (NeurIPS 2020), PDF , CODE   (Oral, Top 1%,  105 out of 9454 Submissions)

[4] Young Lee, Xin Liu, Jeremy Gummeson, Sunghoon Ivan Lee, “A Wearable RFID System to Monitor Hand Use for Individuals with Upper Limb Paresis,” IEEE International Conference on Biomedical and Health Informatics (IEEE BHI’19). PDF

[3] Sunghoon Ivan Lee, Xin Liu, Smita Rajan, Nathan Ramasarma, Eun Kyoung Choe, Paolo Bonato, “A Novel Upper-Limb Function Measure Derived from Finger-Worn Sensor Data Collected in a Free-Living Setting”, PLoS One Journal.  PDF

[2] Xin Liu, Smita Rajan, Nathan Ramasarma, Paolo Bonato, Sunghoon Ivan Lee, ”Finger-Worn Sensors for Accurate Functional Assessment of the Upper Limbs in Real-World Settings,” in IEEE Engineering in Medicine and Biology Conference (EMBC 2018). PDF

[1] Xin Liu, Smita Rajan, Nathan Ramasarma, Paolo Bonato, Sunghoon Ivan Lee, “The Use of A Finger-Worn Accelerometer for Monitoring of Hand Use in Ambulatory Settings,” IEEE Journal of Biomedical and Health Informatics (J-BHI) – VOL. 23, NO. 2, 2019. PDF. (Cover Article Nominee)


Summer 2019 – Research Intern @ Allen Institute for Artificial Intelligence (AI2)

  • Using Deep Neural Networks to Detect Blood Vessels in Portable Ultrasound Devices

Awards & Honors

■ Glerum Family Endowed Fellowship, University of Washington Seattle

(First-year fellowship for selective CS PhD Students)

21st Century Leaders Award, University of Massachusetts Amherst

(Awarded to 10 most exceptional graduating seniors (out of 5500))

Rising Researcher Award, University of Massachusetts Amherst

(The highest honor for an undergraduate researcher across the university)

Outstanding Undergraduate Achievement Award, University of Massachusetts Amherst

(Awarded  to 5 most outstanding seniors in computer science each year)

■ Outstanding Undergraduate Course Assistant Award, UMass Amherst

■ NSF Student Travel Award, National Science Foundation

■ Honors College Research Assistant Fellowship Award, UMass Amherst

■ Computer Science Departmental Honors

■ University Merit Director’s Scholarship ($24000), UMass Amherst


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 in six different departments during the four years :p

I am also a big fan of NBA 🙂