Xin Liu

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Daniel McDuffGoogle and University of WashingtonPatvirtintas el. paštas media.mit.edu
Shwetak PatelUniversity of Washington, Washington Research Foundation Endowed Professor, Computer SciencePatvirtintas el. paštas cs.washington.edu
Yuntao WangTsinghua UniversityPatvirtintas el. paštas tsinghua.edu.cn
Xuhai XuAssistant Professor, Columbia University | GooglePatvirtintas el. paštas columbia.edu
Ziheng JiangResearch Scientist, ByteDancePatvirtintas el. paštas bytedance.com
Girish NarayanswamyUbiComp Lab, University of WashingtonPatvirtintas el. paštas uw.edu
Josh FrommHead of Machine Learning at OctoMLPatvirtintas el. paštas octoml.ai
Tim AlthoffAssociate Professor of Computer Science, University of WashingtonPatvirtintas el. paštas cs.washington.edu
Akshay ParuchuriPhD Student, University of North Carolina at Chapel HillPatvirtintas el. paštas cs.unc.edu
Paolo BonatoHarvard Medical SchoolPatvirtintas el. paštas partners.org
Sunghoon Ivan LeeAssociate Professor of Computer Science, University of Massachusetts AmherstPatvirtintas el. paštas cs.umass.edu
Javier HernandezPrincipal Researcher at Microsoft ResearchPatvirtintas el. paštas microsoft.com
Ming-Zher PohGoogle, MITPatvirtintas el. paštas mit.edu
Jennifer MankoffUniversity of WashingtonPatvirtintas el. paštas cs.washington.edu
Anind K. DeyUniversity of WashingtonPatvirtintas el. paštas uw.edu
Yuzhe YangAssistant Professor, UCLAPatvirtintas el. paštas ucla.edu
Jacob E SunshineAssociate Professor, University of WashingtonPatvirtintas el. paštas uw.edu
Vikram IyerAssistant Professor, Paul G. Allen School of Computer Science and Engineering, University of WashingtonPatvirtintas el. paštas uw.edu
Alex MariakakisUniversity of TorontoPatvirtintas el. paštas cs.toronto.edu
Yun LiuSenior Staff Research Scientist, Google ResearchPatvirtintas el. paštas google.com

Stebėti

Xin Liu

Google | University of Washington

Patvirtintas el. paštas cs.washington.edu - Pagrindinis puslapis

Ubiquitous Computing Machine Learning Mobile Health Human-Computer Interaction Sensing


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement X Liu, J Fromm, S Patel, D McDuff 🌟 NeurIPS 2020 (Oral, Top 1%), 2020	292	2020
Efficientphys: Enabling simple, fast and accurate camera-based cardiac measurement X Liu, B Hill, Z Jiang, S Patel, D McDuff Proceedings of the IEEE/CVF winter conference on applications of computer …, 2023	135*	2023
Large language models are few-shot health learners X Liu, D McDuff, G Kovacs, I Galatzer-Levy, J Sunshine, J Zhan, MZ Poh, ... arXiv preprint arXiv:2305.15525, 2023	112	2023
rPPG-Toolbox: Deep Remote PPG Toolbox X Liu, G Narayanswamy, A Paruchuri, X Zhang, Zhang, J Tang, Y Yang, ... NeurIPS 2023, 2022	85*	2022
MetaPhys: few-shot adaptation for non-contact physiological measurement X Liu, Z Jiang, J Fromm, X Xu, S Patel, D McDuff Proceedings of the Conference on Health, Inference, and Learning, 154-163, 2021	72	2021
A novel upper-limb function measure derived from finger-worn sensor data collected in a free-living setting SI Lee, X Liu, S Rajan, N Ramasarma, EK Choe, P Bonato PloS one 14 (3), e0212484, 2019	51	2019
The use of a finger-worn accelerometer for monitoring of hand use in ambulatory settings X Liu, S Rajan, N Ramasarma, P Bonato, SI Lee 🏅 (Cover Article Nominee) IEEE journal of biomedical and health informatics …, 2018	50	2018
GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization X Xu, H Zhang, Y Sefidgar, Y Ren, X Liu, W Seo, J Brown, K Kuehn, ... NeurIPS 2022, 2022	46	2022
SimPer: Simple Self-Supervised Learning of Periodic Targets Y Yang, X Liu, J Wu, S Borac, D Katabi, MZ Poh, D McDuff 🌟 ICLR 2023 (Oral Top 0.1% Review & Notable Top 5%), 2022	45	2022
SCAMPS: Synthetics for Camera Measurement of Physiological Signals D McDuff, M Wander, X Liu, BL Hill, J Hernandez, J Lester, T Baltrusaitis 🌟 NeurIPS 2022 (Oral Top 1%), 2022	44	2022
SplitSR: An End-to-End Approach to Super-Resolution on Mobile Devices X Liu, Y Li, J Fromm, Y Wang, Z Jiang, A Mariakakis, S Patel Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021	43	2021
Using high-fidelity avatars to advance camera-based cardiac pulse measurement D McDuff, J Hernandez, X Liu, E Wood, T Baltrusaitis IEEE Transactions on Biomedical Engineering 69 (8), 2646-2656, 2022	39*	2022
Mmpd: Multi-domain mobile video physiology dataset J Tang, K Chen, Y Wang, Y Shi, S Patel, D McDuff, X Liu 2023 45th Annual International Conference of the IEEE Engineering in …, 2023	36	2023
GLOBEM: cross-dataset generalization of longitudinal human behavior modeling X Xu, X Liu, H Zhang, W Wang, S Nepal, Y Sefidgar, W Seo, KS Kuehn, ... 🏆 (Best Paper Award) Proceedings of the ACM on Interactive, Mobile, Wearable …, 2023	26	2023
BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements G Narayanswamy, Y Liu, Y Yang, C Ma, X Liu, D McDuff, S Patel WACV 2024, 2023	25	2023
Towards a Personal Health Large Language Model J Cosentino, A Belyaeva, X Liu, NA Furlotte, Z Yang, C Lee, ... arXiv preprint arXiv:2406.06474, 2024	23	2024
MobilePhys: Personalized Mobile Camera-Based Contactless Physiological Sensing X Liu, Y Wang, S Xie, X Zhang, Z Ma, D McDuff, S Patel Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2022	22	2022
Beat-to-beat cardiac pulse rate measurement from video BL Hill, X Liu, D McDuff Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	22	2021
From classification to clinical insights: Towards analyzing and reasoning about mobile and behavioral health data with large language models Z Englhardt, C Ma, ME Morris, CC Chang, XO Xu, L Qin, D McDuff, X Liu, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2024	20	2024
Exploring and characterizing large language models for embedded system development and debugging Z Englhardt, R Li, D Nissanka, Z Zhang, G Narayanswamy, J Breda, X Liu, ... Extended Abstracts of the CHI Conference on Human Factors in Computing …, 2024	19	2024

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