Emma Boya Peng

[Resume]

boya [at] stanford [dot] edu

Welcome! I am currently a graduate student at Stanford University, pursuing a Master's in Computer Science. I am working as a teaching assistant for CS231n: Convolutional Networks for Visual Recognition this Spring. Previously, I was a teaching assistant for CS224n: Natural Language Processing with Deep Learning, and had worked as a research assistant in the Stanford Vision Lab with Professor Fei-Fei Li. I earned my B.Eng. in Computer Science at the University of Hong Kong, and had done research in the HKU PL Group.

Unsupervised Learning of Long-Term Motion Dynamics for Videos

Zelun Luo, Boya Peng, De-An Huang, Alexandre Alahi, Li Fei-Fei
CVPR 2017 [pdf]

Viewpoint Invariant 3D Human Pose Estimation with Recurrent Error Feedback

Albert Haque, Boya Peng, Zelun Luo, Alexandre Alahi, Serena Yeung, Li Fei-Fei
ECCV 2016 [pdf] [website]

Show, Discriminate, and Tell:
A Discriminatory Image Captioning Model with Deep Neural Networks

Boya Peng, Zelun Luo
[pdf][Coming soon!]

Industry

Machine Learning Intern

Qifun Network

Software Development Intern (NLP)

A9.com, Product Search

Software Engineer (NLP/ML)

Apple, Siri

Misc

Teaching Assistant

CS231n: Convolutional Networks for Visual Recognition (Spring 2017)

CS224n: Natural Language Processing with Deep Learning (Winter 2017)

Stanford AI-Assisted Healthcare

I was a member of the Stanford Program in AI-Assisted Care (PAC), which is a collaboration between the Stanford AI Lab and Stanford Clinical Excellence Research Center that aims to use computer vision and machine learning to create AI-assisted smart healthcare spaces.
Some publications:

Vision-Based Hand Hygiene Monitoring in Hospitals

S. Yeung, A. Alahi, Z. Luo, B. Peng, A. Haque, A. Singh, T. Platchek, A. Milstein, L. Fei-Fei.
Workshop on Machine Learning in Healthcare, NIPS. 2015. [pdf]