Yingcheng Liu
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Hello! 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 mainly focuses on biomedical image analysis, computer vision, and deep learning. An important line of my research at MIT is to develop computational methods to understand shape and motion in human body. For example, analyzing the motion and shape of unborn babies to capture early sign of neurodevelopmental issues, or monitoring movement patterns in Parkinson's Disease to improve medication titration and at-home drug trials. I use diverse modalities for shape and motion capture and build computational models of the human body.
Biomedical Image Analysis & Understanding I am also a Research Affiliate at Harvard Medical School, Boston Children's Hospital, collaborating with Prof. Ellen Grant and her team. I obtained my S.M. in Computer Science from MIT with Prof. Dina Katabi, where I co-developed large distributed digital health systems in collaboration with Prof. Ray Dorsey. Before that, I received my B.S. in Computer Science with honors from Peking University, where I worked with Dr. Jian Sun and his team on deep learning research. I also interned at Google DeepMind on deep learning, media generative models, and LLM agent systems. |
Publications
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Fetuses Made Simple: Modeling and Tracking of Fetal Shape and
Pose
Yingcheng Liu, Peiqi Wang, Sebastian Diaz, Benjamin Billot, Esra Abaci Turk, Ellen Grant, Polina Golland
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025 (early acceptance)
[Paper] [Project Page] [Code] [MIT News] -
Calibrating Expressions of Certainty
Peiqi Wang, Barbara D. Lam, Yingcheng Liu, Ameneh Asgari-Targhi, Rameswar Panda, William M. Wells, Tina Kapur, Polina Golland
International Conference on Learning Representations (ICLR), 2025
[Paper] [Code] [MIT News] -
CAvatar: Real-time Human Activity Mesh Reconstruction via Tactile
Carpets
Winston Chen, Yexin Hu, Wei Song, Yingcheng Liu, Antonio Torralba, Wojciech Matusik
ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2024)
[Paper] [Video] -
Dynamic Neural Fields for Learning Atlases of 4D Fetal MRI
Time-series
Zeen Chi*, Zhongxiao Cong*, Clinton Wang, Yingcheng Liu, Ellen Grant, Esra A. Turk, Mazdak Abulnaga, Neel Dey, Polina Golland
Medical Imaging Meets NeurIPS (NeurIPS Workshop) 2023
[Paper] [Poster] -
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(2020-2025), ICCV(2021,2023), ECCV(2022,2024), WACV(2021-2024), ICLR(2025)
- Journal Reviewer: Medical Image Analysis, Scientific Reports (Nature Portfolio), IEEE MultiMedia, IEEE Transactions on Mobile Computing
- Teaching: 6.819/6.869: Advances in Computer Vision (Spring 2022 MIT) , 6.UAR: Undergraduate Advanced Research (Spring 2023 MIT), 6.819/6.869: Advances in Computer Vision (Spring 2024 MIT)
Media
- Fetuses Made Simple: Modeling and Tracking of Fetal Shape and Pose was covered by: MIT News, and MIT CSAIL News.
- Calibrating Expressions of Certainty was covered by: MIT News, and Medical Xpress.
- Monitoring Gait at Home with Radio Waves in Parkinson's Disease was covered by: MIT News, CSAIL News, Boston Globe, NBC Boston, 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, etc.
- Contactless In-Home Respiratory and Behavior Monitoring of COVID-19 was covered by: Wall Street Journal, CSAIL News, The Next Web, Tech Crunch, Engadget, VentureBeat, etc.
- Through-Wall Human Action Recognition was covered by: MIT Technology Review, TechCrunch, etc.
Misc
- Meaning and pronunciation of my name
- I am trilingual. English is my third language.
- I like to write code. Here is my (outdated) dotfiles.
Contact
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MIT Computer Science & Artificial Intelligence Lab |
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