Yuzhe Yang

Hi there! I am a fifth-year Ph.D. student at Computer Science & Artificial Intelligence Laboratory (CSAIL) at MIT, advised by Prof. Dina Katabi. Before coming to MIT, I received my B.S. with honors from Peking University.

My research lies in the intersection of machine learning and applications in human disease, health and medicine. I work on trustworthy ML for model fairness (NeurIPS'20, ICML'21), robustness (ICML'19, CVPR'20), generalization (ECCV'22, ICLR'23), and translate these AI solutions to study and advance human diseases (Nature Medicine'22, Science Translational Medicine'22), health (UbiComp'20) and precision medicine (Frontiers in Psychiatry'21).

/ / / / yuzhe [at] mit [dot] edu

News

SimPer is accepted to ICLR 2023 as an Oral Presentation (1.6%) & Notable Top 5% Paper.
I am co-organizing the CVPR 2023 workshop on Computer Vision for Physiological Measurement.
My research on AI-based biomarker for Parkinson's disease and touchless in-home assessment of Parkinson's disease were named as 2022 Top Ten Notable Advances in Medicine and 2022 Top Ten Crucial Advances in Movement Disorders.
I received the 2022 Baidu Ph.D. Scholarship (10 recipients worldwide).
Single first-author paper on AI-based biomarker for Parkinson's disease is published at Nature Medicine. I am the leader, initiator, and main correspondence for this work, where I lead and supervise a team of 2 postdocs & 2 grad students at MIT.

I received the 2022 MathWorks Ph.D. Fellowship.

Paper on imbalanced regression is accepted to ICML 2021 as a Long Talk (3%).

My research on contactless human sleep sensing with AI has been used to let doctors monitor COVID-19 patients from a distance.

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Publications (show selected / show by date / show by topic)
Research Topics: AI-Enabled Digital Health / Fair, Robust & Generalizable ML / Data & Label Efficient ML

Recent Talks

Invited Talk @ The AI Talks, NTU & NUS

Invited Lecture @ HESAV SwissNex

Long Oral Talk @ ICML 2021

2023 @ SFU, Medical Image Analysis Lab: Using AI to Diagnose and Assess Parkinson's Disease: Challenges, Algorithms, and Applications
2022 @ UIUC, SunLab: Using AI to Diagnose and Assess Parkinson's Disease: Challenges, Algorithms, and Applications
2022 @ UIUC, Neuroscience Imaging Lab: Using AI to Diagnose and Assess Parkinson's Disease: Challenges, Algorithms, and Applications
2022 @ UIUC, Guest Lecture at Bioengineering Seminar: AI-Enabled Detection and Assessment of Parkinson's Disease using Nocturnal Breathing
2022 @ NTU & NUS, The AI Talks: Using AI to Diagnose and Assess Parkinson's Disease: Challenges, Algorithms, and Applications
2022 @ Chinese Sleep Research Society: Using AI to Diagnose and Assess Parkinson's Disease: Challenges, Algorithms, and Applications
2022 @ Peking University & PKU People's Hospital: Using AI to Diagnose and Assess Parkinson's Disease: Challenges, Algorithms, and Applications
2022 @ Tsinghua, AI TIME: On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond
2022 @ TechBeat: Using AI to Diagnose and Assess Parkinson's Disease: Challenges, Algorithms, and Applications
2022 @ HESAV SwissNex, Guest Lecture: Innovations in Healthcare: Neurodegenerative Disorders
2022 @ UCSC: Machine Learning for Digital Health: Algorithms and Applications
2022 @ Google Health Research: Simple Self-Supervised Learning for Physiological Signals
2022 @ Citadel Securities, PhD Summit: Delving into Deep Imbalanced Regression
2021 @ Tsinghua, AI TIME: Delving into Deep Imbalanced Regression
2021 @ NTU, MMLab: Rethinking Learning from Imbalanced Data
2021 @ TechBeat: Imbalanced Learning: From Semi-supervision, Self-supervision, to Deep Imbalanced Regression
2020 @ Johns Hopkins University, Artificial Intelligence Society: Algorithms & Applications for AI-driven Healthcare
2020 @ UC Berkeley, JiaoLab Group: Rethinking the Value of Labels for Improving Class-Imbalanced Learning

Honors and Awards

Notable-Top-5% Paper, ICLR 2023
Baidu Ph.D. Scholarship (10 recipients worldwide), 2022
2022 Top Ten Notable Advances in Medicine, Nature Medicine, 2022
2022 Top Ten Crucial Advances in Movement Disorders, The Lancet Neurology, 2022
MathWorks Ph.D. Fellowship, 2022
Outstanding Reviewer (Top 5%), ECCV 2022
Highlighted Reviewer (Top 8%), ICLR 2022
MathWorks Ph.D. Fellowship, 2021
Rising Stars in Artificial Intelligence, TechBeat, 2021
Best Undergraduate Dissertation Award, EECS, Peking University, 2018
Best Project Award, IEEE Communications Society (ComSoc) Student Competition, 2017
National Scholarship (highest honor), The Chinese Government, 2017
Outstanding Undergraduate Research Award, Peking University, 2017
HuaWei Scholarship, 2017

Professional Service

Organizing Committee
- CVPR 2023 Workshop on Computer Vision for Physiological Measurement (CVPM)
(Senior) Program Committee Member
- AAAI / IJCAI / UAI
Conference Reviewer
- NeurIPS / ICLR (Highlighted Reviewer) / ICML / CVPR / ECCV (Outstanding Reviewer) / ICCV / AAAI / IJCAI / UAI
Journal Reviewer
- TPAMI / TMLR / ACM CSUR / IEEE TKDE / IEEE TIFS / IEEE TAC / IEEE TVT / IEEE IoT-J

Press

AI-based Biomarker for Parkinson's Disease using Nocturnal Breathing was covered by: MIT News, CSAIL News, Forbes, BBC, NVIDIA Technical Blog, The Washington Post, Medscape, Stat News, Boston Globe, FierceBiotech, New Atlas, University of Rochester, Yahoo, Parkinson's News Today, Futurity, BioSpace, Times of India, AzoRobotics, and other media outlets.
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.
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, Electronics 360, Tech Times, Grid Daily, AI in Healthcare, DNYUZ, Tech Register, Inc., and other media outlets.
Touchless Sleep Posture Monitoring with Wireless Signals was covered by: MIT News, Engadget, Yahoo, Technology Networks, Sleep Review, TechTimes, SlashGear, TechSpot, Hackster, New Atlas, BGR, and other media outlets.
3D Air Quality Monitoring via UAV Sensing was covered by: PKU News, IEEE Communications Society, Radio Communications Committee, and other media outlets.