Xin Liu

According to our database, Xin Liu authored at least 48 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Zachary Englhardt, Chengqian Ma, Margaret E. Morris, Chun-Cheng Chang, Xuhai Xu, Lianhui Qin, Daniel McDuff, Xin Liu, Shwetak N. Patel, Vikram Iyer

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., May, 2024

Scaling Wearable Foundation Models.

Girish Narayanswamy, Xin Liu, Kumar Ayush, Yuzhe Yang, Xuhai Xu, Shun Liao, Jake Garrison, Shyam Tailor, Jake Sunshine, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Samy Abdel-Ghaffar, Daniel McDuff

CoRR, 2024

Evidence of Cognitive Deficits andDevelopmental Advances in Generative AI: A Clock Drawing Test Analysis.

Isaac R. Galatzer-Levy, Jed McGiffin, David Munday, Xin Liu, Danny Karmon, Ilia Labzovsky, Rivka Moroshko, Amir Zait, Daniel McDuff

CoRR, 2024

The Cognitive Capabilities of Generative AI: A Comparative Analysis with Human Benchmarks.

Isaac R. Galatzer-Levy, David Munday, Jed McGiffin, Xin Liu, Danny Karmon, Ilia Labzovsky, Rivka Moroshko, Amir Zait, Daniel McDuff

CoRR, 2024

WeatherQA: Can Multimodal Language Models Reason about Severe Weather?

Chengqian Ma, Zhanxiang Hua, Alexandra Anderson-Frey, Vikram Iyer, Xin Liu, Lianhui Qin

CoRR, 2024

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 Matos, Jameson K. Rogers, Cathy Speed, Shyam Tailor, Megan Walker, Jeffrey Yu, Tim Althoff, Conor Heneghan, John Hernandez, Mark Malhotra, Leor Stern, Yossi Matias, Gregory S. Corrado, Shwetak N. Patel, Shravya Shetty, Jiening Zhan, Shruthi Prabhakara, Daniel McDuff, Cory Y. McLean

CoRR, 2024

Transforming Wearable Data into Health Insights using Large Language Model Agents.

Mike A. Merrill, Akshay Paruchuri, Naghmeh Rezaei, Geza Kovacs, Javier Perez Matos, Yun Liu, Erik Schenck, Nova Hammerquist, Jake Sunshine, Shyam Tailor, Kumar Ayush, Hao-Wei Su, Qian He, Cory Y. McLean, Mark Malhotra, Shwetak N. Patel, Jiening Zhan, Tim Althoff, Daniel McDuff, Xin Liu

CoRR, 2024

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

Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapa, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason A. Fries, Parisa Rashidi, Brett K. Beaulieu-Jones, Xuhai Orson Xu, Matthew B. A. McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gürsoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo

CoRR, 2024

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

Yuzhe Yang, Yujia Liu, Xin Liu, Avanti Gulhane, Domenico Mastrodicasa, Wei Wu, Edward Jay Wang, Dushyant W. Sahani, Shwetak N. Patel

CoRR, 2024

Motion Matters: Neural Motion Transfer for Better Camera Physiological Measurement.

Akshay Paruchuri, Xin Liu, Yulu Pan, Shwetak N. Patel, Daniel McDuff, Soumyadip Sengupta

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

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

Girish Narayanswamy, Yujia Liu, Yuzhe Yang, Chengqian Ma, Xin Liu, Daniel McDuff, Shwetak N. Patel

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

What Are the Odds? Language Models Are Capable of Probabilistic Reasoning.

Akshay Paruchuri, Jake Garrison, Shun Liao, John Hernandez, Jacob E. Sunshine, Tim Althoff, Xin Liu, Daniel McDuff

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Exploring and Characterizing Large Language Models for Embedded System Development and Debugging.

Zachary Englhardt, Richard Li, Dilini Nissanka, Zhihan Zhang, Girish Narayanswamy, Joseph Breda, Xin Liu, Shwetak N. Patel, Vikram Iyer

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

2023

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

Ziqi Gao, Yuntao Wang, Jianguo Chen, Junliang Xing, Shwetak N. Patel, Xin Liu, Yuanchun Shi

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2023

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

Yuang Li, Yuntao Wang, Xin Liu, Yuanchun Shi, Shwetak N. Patel, Shao-fu Shih

Sensors, 2023

ALPHA: AnomaLous Physiological Health Assessment Using Large Language Models.

Jiankai Tang, Kegang Wang, Hongming Hu, Xiyuxing Zhang, Peiyu Wang, Xin Liu, Yuntao Wang

CoRR, 2023

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

Yuxuan Ou, Yuzhe Zhang, Yuntang Wang, Shwetak N. Patel, Daniel McDuff, Yuzhe Yang, Xin Liu

CoRR, 2023

Large Language Models are Few-Shot Health Learners.

Xin Liu, Daniel McDuff, Geza Kovacs, Isaac R. Galatzer-Levy, Jacob E. Sunshine, Jiening Zhan, Ming-Zher Poh, Shun Liao, Paolo Di Achille, Shwetak N. Patel

CoRR, 2023

Motion Matters: Neural Motion Transfer for Better Camera Physiological Sensing.

Akshay Paruchuri, Xin Liu, Yulu Pan, Shwetak N. Patel, Daniel McDuff, Soumyadip Sengupta

CoRR, 2023

EfficientPhys: Enabling Simple, Fast and Accurate Camera-Based Cardiac Measurement.

Xin Liu, Brian L. Hill, Ziheng Jiang, Shwetak N. Patel, Daniel McDuff

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

rPPG-Toolbox: Deep Remote PPG Toolbox.

Xin Liu, Girish Narayanswamy, Akshay Paruchuri, Xiaoyu Zhang, Jiankai Tang, Yuzhe Zhang, Roni Sengupta, Shwetak N. Patel, Yuntao Wang, Daniel McDuff

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SimPer: Simple Self-Supervised Learning of Periodic Targets.

Yuzhe Yang, Xin Liu, Jiang Wu, Silviu Borac, Dina Katabi, Ming-Zher Poh, Daniel McDuff

Proceedings of the Eleventh International Conference on Learning Representations, 2023

MMPD: Multi-Domain Mobile Video Physiology Dataset.

Jiankai Tang, Kequan Chen, Yuntao Wang, Yuanchun Shi, Shwetak N. Patel, Daniel McDuff, Xin Liu

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Using High-Fidelity Avatars to Advance Camera-Based Cardiac Pulse Measurement.

Daniel McDuff, Javier Hernandez, Xin Liu, Erroll Wood, Tadas Baltrusaitis

IEEE Trans. Biomed. Eng., 2022

GLOBEM: Cross-Dataset Generalization of Longitudinal Human Behavior Modeling.

Xuhai Xu, Xin Liu, Han Zhang, Weichen Wang, Subigya Nepal, Yasaman S. Sefidgar, Woosuk Seo, Kevin S. Kuehn, Jeremy F. Huckins, Margaret E. Morris, Paula S. Nurius, Eve A. Riskin, Shwetak N. Patel, Tim Althoff, Andrew Campbell, Anind K. Dey, Jennifer Mankoff

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

MobilePhys: Personalized Mobile Camera-Based Contactless Physiological Sensing.

Xin Liu, Yuntao Wang, Sinan Xie, Xiaoyu Zhang, Zixian Ma, Daniel McDuff, Shwetak N. Patel

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

MMTSA: Multimodal Temporal Segment Attention Network for Efficient Human Activity Recognition.

Ziqi Gao, Jianguo Chen, Junliang Xing, Shwetak N. Patel, Yuanchun Shi, Xin Liu, Yuntao Wang

CoRR, 2022

Deep Physiological Sensing Toolbox.

Xin Liu, Xiaoyu Zhang, Girish Narayanswamy, Yuzhe Zhang, Yuntao Wang, Shwetak N. Patel, Daniel McDuff

CoRR, 2022

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

Xuhai Xu, Han Zhang, Yasaman S. Sefidgar, Yiyi Ren, Xin Liu, Woosuk Seo, Jennifer Brown, Kevin S. Kuehn, Mike A. Merrill, Paula S. Nurius, Shwetak N. Patel, Tim Althoff, Margaret E. Morris, Eve A. Riskin, Jennifer Mankoff, Anind K. Dey

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SCAMPS: Synthetics for Camera Measurement of Physiological Signals.

Daniel McDuff, Miah Wander, Xin Liu, Brian L. Hill, Javier Hernandez, Jonathan Lester, Tadas Baltrusaitis

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Federated Remote Physiological Measurement with Imperfect Data.

Xin Liu, Mingchuan Zhang, Ziheng Jiang, Shwetak N. Patel, Daniel McDuff

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

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 N. Patel

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Enabling Real-time On-chip Audio Super Resolution for Bone Conduction Microphones.

Yuang Li, Yuntao Wang, Xin Liu, Yuanchun Shi, Shao-fu Shih

CoRR, 2021

Camera-Based Physiological Sensing: Challenges and Future Directions.

Xin Liu, Shwetak N. Patel, Daniel McDuff

CoRR, 2021

EfficientPhys: Enabling Simple, Fast and Accurate Camera-Based Vitals Measurement.

Xin Liu, Brian L. Hill, Ziheng Jiang, Shwetak N. Patel, Daniel McDuff

CoRR, 2021

Learning Higher-Order Dynamics in Video-Based Cardiac Measurement.

Brian L. Hill, Xin Liu, Daniel McDuff

CoRR, 2021

Online Mobile App Usage as an Indicator of Sleep Behavior and Job Performance.

Chunjong Park, Morelle Arian, Xin Liu, Leon Sasson, Jeffrey Kahn, Shwetak N. Patel, Alex Mariakakis, Tim Althoff

Proceedings of the WWW '21: The Web Conference 2021, 2021

Beat-to-Beat Cardiac Pulse Rate Measurement From Video.

Brian L. Hill, Xin Liu, Daniel McDuff

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Synthetic Data for Multi-Parameter Camera-Based Physiological Sensing.

Daniel McDuff, Xin Liu, Javier Hernandez, Erroll Wood, Tadas Baltrusaitis

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

MetaPhys: few-shot adaptation for non-contact physiological measurement.

Xin Liu, Ziheng Jiang, Josh Fromm, Xuhai Xu, Shwetak N. Patel, Daniel McDuff

Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

HulaMove: Using Commodity IMU for Waist Interaction.

Xuhai Xu, Jiahao Li, Tianyi Yuan, Liang He, Xin Liu, Yukang Yan, Yuntao Wang, Yuanchun Shi, Jennifer Mankoff, Anind K. Dey

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

Advancing Non-Contact Vital Sign Measurement using Synthetic Avatars.

Daniel McDuff, Javier Hernandez, Erroll Wood, Xin Liu, Tadas Baltrusaitis

CoRR, 2020

MetaPhys: Unsupervised Few-Shot Adaptation for Non-Contact Physiological Measurement.

Xin Liu, Ziheng Jiang, Josh Fromm, Xuhai Xu, Shwetak N. Patel, Daniel McDuff

CoRR, 2020

Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement.

Xin Liu, Josh Fromm, Shwetak N. Patel, Daniel McDuff

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

The Use of a Finger-Worn Accelerometer for Monitoring of Hand Use in Ambulatory Settings.

Xin Liu, Smita Rajan, Nathan Ramasarma, Paolo Bonato, Sunghoon Ivan Lee

IEEE J. Biomed. Health Informatics, 2019

A Wearable RFID System to Monitor Hand Use for Individuals with Upper Limb Paresis.

Youngkyun Lee, Xin Liu, Jeremy Gummeson, Sunghoon Ivan Lee

Proceedings of the 16th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2019

2018

Finger-Worn Sensors for Accurate Functional Assessment of the Upper Limbs in Real-World Settings.

Xin Liu, Smita Rajan, Nathan Ramasarma, Paolo Bonato, Sunghoon Ivan Lee

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

A Novel Finger-Worn Sensor for Ambulatory Monitoring of Hand Use.

Xin Liu, Smita Rajan, Gabriel Hollander, Nathan Ramasarma, Paolo Bonato, Sunghoon Ivan Lee

Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017