Serena Yeung (original) (raw)

I am an Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering at Stanford University. My research interests are in the areas of computer vision, machine learning, and deep learning, focusing on applications to healthcare. I lead the Medical AI and Computer Vision Lab (MARVL) at Stanford, and serve as Associate Director of Data Science for the Stanford Center for Artificial Intelligence in Medicine & Imaging (AIMI). I am also affiliated with the Stanford Clinical Excellence Research Center (CERC).

Prior to joining the Stanford faculty in 2019, I was a Technology for Equitable and Accessible Medicine (TEAM) Postdoctoral Fellow at Harvard University, where I was hosted by Susan Murphy and John Halamka. I received my Ph.D. from Stanford University in 2018, where I was advised by Fei-Fei Li and Arnold Milstein. During my Ph.D., I also spent time at Facebook AI Research in 2016 and Google Cloud AI in 2017. I additionally co-taught Stanford's CS231N Convolutional Neural Networks course from 2017-2019, with Justin Johnson and Fei-Fei Li.

Selected Publications

For a complete and up-to-date list of publications, please visit my Google Scholar profile here.

A Computer Vision System for Deep Learning-Based Detection of Patient Mobilization Activities in the ICU

Serena Yeung*, Francesca Rinaldo*, Jeffrey Jopling, Bingbin Liu, Rishab Mehra, N. Lance Downing, Michelle Guo, Gabriel M. Bianconi, Alexandre Alahi, Julia Lee, Brandi Campbell, Kayla Deru, William Beninati, Li Fei-Fei, Arnold Milstein

Nature Partner Journals (NPJ) Digital Medicine 2019

Temporal Modular Networks for Retrieving Complex Compositional Activities in Video

ECCV 2018

Neural Graph Matching Networks for Fewshot 3D Action Recognition

Michelle Guo, Edward Chou, Shuran Song, De-An Huang, Serena Yeung, Li Fei-Fei

ECCV 2018

Dynamic Task Prioritization for Multitask Learning

Michelle Guo, Albert Haque, De-An Huang, Serena Yeung, Li Fei-Fei

ECCV 2018

Computer Vision-based Descriptive Analytics of Seniors’ Daily Activities for Long-term Health Monitoring

Jun-Ting Hsieh*, Zelun Luo*, Niranjan Balachandar, Serena Yeung, Guido Pusiol, Jay Luxenberg, Grace Li, Li-Jia Li, N. Lance Downing, Arnold Milstein, Li Fei-Fei

MLHC 2018

3D Point Cloud-Based Visual Prediction of ICU Mobility Care Activities

Bingbin Liu*, Michelle Guo*, Edward Chou, Rishab Mehra, Serena Yeung, N. Lance Downing, Francesca Salipur, Jeffrey Jopling, Brandi Campbell, Kayla Deru, William Beninati, Arnold Milstein, Li Fei-Fei

MLHC 2018

Bedside Computer Vision -- Moving Artificial Intelligence from Driver Assistance to Patient Safety

Serena Yeung, N. Lance Downing, Li Fei-Fei, Arnold Milstein

New England Journal of Medicine 2018

Scaling Human-Object Interaction Recognition through Zero-Shot Learning

Liyue Shen, Serena Yeung, Judy Hoffman, Greg Mori, Li Fei-Fei

WACV 2018

Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks

Amy Jin, Serena Yeung, Jeffrey Jopling, Jonathan Krause, Dan Azagury, Arnold Milstein, Li Fei-Fei

NIPS 2017 Machine Learning for Health Workshop (Best Paper Award)
WACV 2018

Tackling Over-pruning in Variational Autoencoders

Serena Yeung, Anitha Kannan, Yann Dauphin, Li Fei-Fei

ICML 2017 Workshop on Principled Approaches to Deep Learning

Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance

Albert Haque, Michelle Guo, Alexandre Alahi, Serena Yeung, Zelun Luo, Alisha Rege, Jeffrey Jopling, Lance Downing, William Beninati, Amit Singh, Terry Platchek, Arnold Milstein, Li Fei-Fei

MLHC 2017

Learning to Learn from Noisy Web Videos

Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei

CVPR 2017

Jointly Learning Energy Expenditures and Activities using Egocentric Multimodal Signals

Katsuyuki Nakamura, Serena Yeung, Alexandre Alahi, Li Fei-Fei

CVPR 2017

Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos

Serena Yeung, Olga Russakovsky, Ning Jin, Mykhaylo Andriluka, Greg Mori, Li Fei-Fei

IJCV 2017

End-to-end Learning of Action Detection from Frame Glimpses in Videos

Serena Yeung, Olga Russakovsky, Greg Mori, Li Fei-Fei

CVPR 2016

Towards Viewpoint Invariant 3D Human Pose Estimation

Albert Haque, Boya Peng, Zelun Luo, Alexandre Alahi, Serena Yeung, Li Fei-Fei

ECCV 2016

Vision-Based Hand Hygiene Monitoring in Hospitals

Serena Yeung, Alexandre Alahi, Zelun Luo, Boya Peng, Albert Haque, Amit Singh, Terry Platchek, Arnold Milstein, Li Fei-Fei

NIPS 2015 Machine Learning for Health Care Workshop

VideoSET: Video Summary Evaluation through Text

Serena Yeung, Alireza Fathi, Li Fei-Fei

CVPR 2014 Egocentric Vision Workshop

Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis

Quoc Le, Will Zou, Serena Yeung, Andrew Ng

CVPR 2011