Yingcheng Liu

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I am a Ph.D. student in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology (MIT). 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 worked 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:
Parkinson's Disease. COVID-19.
Multi-Model and Multi-Task Learning:
From image to wireless signals. Multi-task learning in image segmentation.


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

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