Scholar
Yingcheng Liu
Google Scholar ID: TIbJx30AAAAJ
MIT
Citations & Impact
Citations
3,335
H-index
7
i10-index
7
Publications
13
Co-authors
10
list available
Publications
Resume (English only)
Academic Achievements
- 1. Paper: 'Fetuses Made Simple: Modeling and Tracking of Fetal Shape and Pose'
- 2. Paper: 'Calibrating Expressions of Certainty'
- 3. Paper: 'CAvatar: Real-time Human Activity Mesh Reconstruction via Tactile Carpets'
- 4. Paper: 'Dynamic Neural Fields for Learning Atlases of 4D Fetal MRI Time-series'
- 5. Paper: 'Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series'
- 6. Paper: 'Sample-Specific Debiasing for Better Image-Text Models'
- 7. Paper: 'Monitoring Gait at Home with Radio Waves in Parkinson's Disease: a Marker of Severity, Progression, and Medication Response'
Research Experience
- 1. PhD research in the Medical Vision Group at MIT CSAIL, Advisor: Prof. Polina Golland
- 2. Affiliated with Harvard Medical School and Boston Children's Hospital, Advisor: Prof. Ellen Grant
- 3. Interned at Google DeepMind on deep learning and image generative models
Education
- 1. S.M. in Computer Science, MIT, Advisor: Prof. Dina Katabi
- 2. B.S. in Computer Science with honors, Peking University, Advisor: Dr. Jian Sun
Background
- Research Interests: Computer vision and its applications in biomedical and healthcare problems. Recent work often involves motion analysis, such as understanding the motion of babies to capture signs of neurodevelopmental issues before they are born; or monitoring movement patterns in Parkinson's Disease to improve medication titration and at-home drug trials.
Miscellany
- Interested in thinking about machine learning and AI related problems. Feel free to reach out if you have interesting ideas or projects.
