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:
Fetal MRI. Chest X-ray. Parkinson's Disease. COVID-19.
Multi-Model and Multi-Task Learning:
From image to wireless signals. Multi-task learning in image segmentation.


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
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(* denotes equal contributions)

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)



MIT Computer Science & Artificial Intelligence Lab
32 Vassar Street
Cambridge, MA 02139

Website design:
Avatar photo: Google, Cambridge, MA. Sep. 2019. Photographer: J. Mao