Xin Liu

Xin Liu

University of Washington

H-index: 13

North America-United States

About Xin Liu

Xin Liu, With an exceptional h-index of 13 and a recent h-index of 13 (since 2020), a distinguished researcher at University of Washington, specializes in the field of ubiquitous computing, machine learning, mobile health, sensing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Demographic Bias of Expert-Level Vision-Language Foundation Models in Medical Imaging

Motion Matters: Neural Motion Transfer for Better Camera Physiological Measurement

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium

Camera-based remote photoplethysmography to measure heart rate and blood pressure in ambulatory patients with cardiovascular disease: Preliminary analysis

Mmpd: multi-domain mobile video physiology dataset

GLOBEM: cross-dataset generalization of longitudinal human behavior modeling

Exploring and characterizing large language models for embedded system development and debugging

Towards Accessible, Equitable, Generalizable and Useful Camera Health Sensing

Xin Liu Information

University

Position

PhD Student in Computer Science

Citations(all)

611

Citations(since 2020)

607

Cited By

43

hIndex(all)

13

hIndex(since 2020)

13

i10Index(all)

17

i10Index(since 2020)

17

Email

University Profile Page

University of Washington

Google Scholar

View Google Scholar Profile

Xin Liu Skills & Research Interests

ubiquitous computing

machine learning

mobile health

sensing

Top articles of Xin Liu

Title

Journal

Author(s)

Publication Date

Demographic Bias of Expert-Level Vision-Language Foundation Models in Medical Imaging

arXiv preprint arXiv:2402.14815

Yuzhe Yang

Yujia Liu

Xin Liu

Avanti Gulhane

Domenico Mastrodicasa

...

2024/2/22

Motion Matters: Neural Motion Transfer for Better Camera Physiological Measurement

Akshay Paruchuri

Xin Liu

Yulu Pan

Shwetak Patel

Daniel McDuff

...

2024

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium

Stefan Hegselmann

Helen Zhou

Yuyin Zhou

Jennifer Chien

Sujay Nagaraj

...

2023/5

Camera-based remote photoplethysmography to measure heart rate and blood pressure in ambulatory patients with cardiovascular disease: Preliminary analysis

Journal of the American College of Cardiology

Theodore Curran

Xin Liu

Daniel McDuff

Shwetak Patel

Eugene Yang

2023/3/7

Mmpd: multi-domain mobile video physiology dataset

Jiankai Tang

Kequan Chen

Yuntao Wang

Yuanchun Shi

Shwetak Patel

...

2023/7/24

GLOBEM: cross-dataset generalization of longitudinal human behavior modeling

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Xuhai Xu

Xin Liu

Han Zhang

Weichen Wang

Subigya Nepal

...

2023/1/11

Exploring and characterizing large language models for embedded system development and debugging

arXiv preprint arXiv:2307.03817

Zachary Englhardt

Richard Li

Dilini Nissanka

Zhihan Zhang

Girish Narayanswamy

...

2023/7/7

Towards Accessible, Equitable, Generalizable and Useful Camera Health Sensing

Xin Liu

2023

Camera-based remote photoplethysmography to predict blood pressure in clinic patients with cardiovascular disease

Journal of Hypertension

Theodore Curran

Xin Liu

Daniel Mcduff

Chengqian Ma

Girish Narayanswamy

...

2023/6/1

From Classification to Clinical Insights: Towards Analyzing and Reasoning About Mobile and Behavioral Health Data With Large Language Models

arXiv preprint arXiv:2311.13063

Zachary Englhardt

Chengqian Ma

Margaret E Morris

Xuhai Xu

Chun-Cheng Chang

...

2023/11/21

Camera-based remote photoplethysmography for blood pressure measurement: current evidence, clinical perspectives, and future applications

Theodore Curran

Daniel McDuff

Xin Liu

Girish Narayanswamy

Chengqian Ma

...

2023

Large language models are few-shot health learners

arXiv preprint arXiv:2305.15525

Xin Liu

Daniel McDuff

Geza Kovacs

Isaac Galatzer-Levy

Jacob Sunshine

...

2023/5/24

Training Robust Deep Physiological Measurement Models with Synthetic Video-based Data

arXiv preprint arXiv:2311.05371

Yuxuan Ou

Yuzhe Zhang

Yuntang Wang

Shwetak Patel

Daniel McDuf

...

2023/11/9

Efficientphys: Enabling simple, fast and accurate camera-based cardiac measurement

Xin Liu

Brian Hill

Ziheng Jiang

Shwetak Patel

Daniel McDuff

2023

BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Girish Narayanswamy

Yujia Liu

Yuzhe Yang

Chengqian Ma

Xin Liu

...

2024/1/21

MMTSA: Multi-Modal Temporal Segment Attention Network for Efficient Human Activity Recognition

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Ziqi Gao

Yuntao Wang

Jianguo Chen

Junliang Xing

Shwetak Patel

...

2023/9/27

Enabling Real-Time On-Chip Audio Super Resolution for Bone-Conduction Microphones

Sensors

Yuang Li

Yuntao Wang

Xin Liu

Yuanchun Shi

Shwetak Patel

...

2022/12/20

MobilePhys: Personalized Mobile Camera-Based Contactless Physiological Sensing

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Xin Liu

Yuntao Wang

Sinan Xie

Xiaoyu Zhang

Zixian Ma

...

2022/3/29

Using high-fidelity avatars to advance camera-based cardiac pulse measurement

IEEE Transactions on Biomedical Engineering

Daniel Mcduff

Javier Hernandez

Xin Liu

Erroll Wood

Tadas Baltrusaitis

2022/2/16

GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization

Advances in Neural Information Processing Systems

Xuhai Xu

Han Zhang

Yasaman Sefidgar

Yiyi Ren

Xin Liu

...

2022/12/6

See List of Professors in Xin Liu University(University of Washington)

Co-Authors

H-index: 84
Anind K. Dey

Anind K. Dey

University of Washington

H-index: 68
Shwetak Patel

Shwetak Patel

University of Washington

H-index: 64
Jennifer Mankoff

Jennifer Mankoff

University of Washington

H-index: 63
Paolo Bonato

Paolo Bonato

Harvard University

H-index: 50
Daniel McDuff

Daniel McDuff

Massachusetts Institute of Technology

H-index: 32
Tim Althoff

Tim Althoff

University of Washington

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