Yingcheng Liu
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I am a Ph.D. student in the Medical Vision Group at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) advised by Prof. Polina Golland. My research interests include machine learning and computer vision, with a focus on applications in biomedicine and healthcare. I obtained my S.M. with Prof. Dina Katabi, during which I also collaborated with Prof. Ray Dorsey on digital health for Parkinson's Disease. Prior to my studies at MIT, I received my B.S. in Computer Science with honors from Peking University, where I had the chance to work with late Dr. Jian Sun on deep learning research. Followings are some research topics I worked on recently:
AI for Biomedicine & Healthcare: |
News
| Aug. 2023 | One paper on semi-supervised learning for fetal MRI image segmentation was accepted by MICCAI PIPPI workshop 2023. See you in Vancouver! |
| Jan. 2023 | RF-PD-Gait was selected by The Lancet Neurology as one of ten finalists for crucial advances in Parkinson's disease and other movement disorders among more than 14,000 published papers in 2022 (~0.1%). |
| Oct. 2022 | I gave talks on in-home passive monitoring for Parkinson's Disease at Tsinghua University and University of Rochester Medical Center. |
| Aug. 2022 | One paper on Parkinson's Disease and mobility is accepted to Science Translational Medicine: RF-PD-Gait, MIT News, Video (MIT) |
| June 2022 | One paper on Parkinson's Disease and breathing signals is accepted to Nature Medicine: PD-Breathing, Paper, MIT News |
Publications
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Consistency Regularization Improves Placenta Segmentation in
Fetal EPI MRI Time Series
Yingcheng Liu, Neerav Karani, Neel Dey, S. Mazdak Abulnaga, Junshen Xu, P. Ellen Grant, Esra Abaci Turk, Polina Golland
MICCAI Workshop on Perinatal, Preterm, and Pediatric Image Analysis, 2023.
[Paper] [Poster] -
Sample-Specific Debiasing for Better Image-Text Models
Peiqi Wang, Yingcheng Liu, Ching-Yun Ko, William M Wells, Seth Berkowitz, Steven Horng, Polina Golland
Machine Learning for Healthcare Conference (MLHC), 2023.
[Paper] [Poster] -
Monitoring Gait at Home with Radio Waves in Parkinson's Disease: a
Marker of Severity, Progression, and Medication Response
Yingcheng Liu*, Guo Zhang*, Christopher G. Tarolli, Rumen Hristov, Stella Jensen-Roberts, Emma M. Waddell, Taylor L. Myers, Meghan E. Pawlik, Julia M. Soto, Renee M. Wilson, Yuzhe Yang, Timothy Nordahl, Karlo J. Lizarraga, Jamie L. Adams, Ruth B. Schneider, Karl Kieburtz, Terry Ellis, E. Ray Dorsey, Dina Katabi
Science Translational Medicine, 2022.
[Paper] [Paper (free access)] [Project Page] [Code] [MIT News] [Video(MIT)] [Video(Jclinic)]
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Artificial Intelligence-Enabled Detection and Assessment of
Parkinson's Disease using Nocturnal Breathing Signals
Yuzhe Yang, Yuan Yuan, Guo Zhang, Hao Wang, Ying-Cong Chen, Yingcheng Liu, Christopher Tarolli, Daniel Crepeau, Jan Bukartyk, Mithri Junna, Aleksandar Videnovic, Terry Ellis, Melissa Lipford, Ray Dorsey, Dina Katabi
Nature Medicine, 2022.
[Paper] [Project Page] [MIT News] -
Contactless In-Home Monitoring of the Long-Term Respiratory and
Behavioral Phenotypes in Older Adults With COVID-19: A Case
Series
Guo Zhang*, Ipsit Vahia*, Yingcheng Liu*, Yuzhe Yang, Rose May, Hailey V. Cray, William McGrory, Dina Katabi
Frontiers in Psychiatry, 2021.
[Paper] [Video] [MIT CSAIL News]
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Through-Wall Human Mesh Recovery Using Radio Signals
Mingmin Zhao, Yingcheng Liu, Aniruddh Raghu, Hang Zhao, Tianhong Li, Antonio Torralba, Dina Katabi
International Conference on Computer Vision (ICCV), 2019.
[Paper] [Project Page] -
Making the Invisible Visible: Action Recognition Through Walls
and Occlusions
Tianhong Li*, Lijie Fan*, Mingmin Zhao, Yingcheng Liu, Dina Katabi
International Conference on Computer Vision (ICCV), 2019.
[Paper] [Project Page] [Video] [MIT Technology Review]
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Unified Perceptual Parsing for Scene Understanding
Tete Xiao*, Yingcheng Liu*, Bolei Zhou*, Yuning Jiang, Jian Sun
European Conference on Computer Vision (ECCV), 2018.
[Paper] [Code]
Academic Service
Workshop Organizer: ML for IoT@ICLR2023
Program Committee: HVU@CVPR2021, PAIR^2Struct@ICLR2022
Conference Reviewer: CVPR(2020-2023), ICCV(2021), ECCV(2022), WACV(2021-2023)
Journal Reviewer: IEEE MultiMedia, IEEE Transactions on Mobile Computing
Teaching: 6.819/6.869: Advances in Computer Vision (Spring 2022 MIT)
Media
- Monitoring Gait at Home with Radio Waves in Parkinson's Disease was covered by: MIT News, CSAIL News, Boston Globe, NBC Boston, The Telegraph, Medscape, FierceBiotech, New Atlas, Parkinson's News Today, UK Time News, India Today, Yahoo, Neuroscience News, The Daily Beast, and other media outlets.
- AI-enabled detection and assessment of Parkinson’s disease using nocturnal breathing signals was covered by: MIT News, CSAIL News, Forbes, NVIDIA Technical Blog, Stat News, Boston Globe, FierceBiotech, New Atlas, University of Rochester, Yahoo, Parkinson's News Today, Futurity, BioSpace, Times of India, AzoRobotics, etc.
- Contactless In-Home Respiratory and Behavior Monitoring of COVID-19 was covered by: Wall Street Journal, CSAIL News, Yahoo News, UK Time News, The Next Web, Tech Crunch, Engadget, VentureBeat, DNYUZ, Tech Register, Electronics 360, Tech Times, Grid Daily, AI in Healthcare, Inc., etc.
- Through-Wall Human Action Recognition was covered by: MIT Technology Review, TechCrunch, Communal News, Synced Review, etc.
Contact
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MIT Computer Science & Artificial Intelligence Lab |
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Avatar photo: Google, Cambridge, MA. Sep. 2019. Photographer: J. Mao