People

Amy Zhang

Research Engineer

I’m a research engineer on the Facebook AI Research (FAIR) team. I have dual B.S. degrees in mathematics and EECS, and an ME degree in EECS from MIT in Network Coding in RLE. I was also in a PhD program at UCSD studying active learning. Previously, I was a machine learning engineer at SET Media applying deep learning to video classification, and most recently was a data scientist on Facebook’s Core Data Science team working on estimating population density all over the world from high resolution satellite images.

Interests

Deep learning, computer vision, optimization, and reinforcement learning

Related Links

Google Scholar

Latest Publications

Invariant Causal Prediction for Block MDPs

Amy Zhang, Clare Lyle, Shagun Sodhani, Angelos Filos, Marta Kwiatkowska, Joelle Pineau, Yarin Gal, Doina Precup

ICML - July 14, 2020

Plan2vec: Unsupervised Representation Learning by Latent Plans

Ge Yang, Amy Zhang, Ari Morcos, Joelle Pineau, Pieter Abbeel, Roberto Calandra

Learning for Dynamics & Control (L4DC) - June 10, 2020

Composable Planning with Attributes

Amy Zhang, Adam Lerer, Sainbayar Sukhbaatar, Rob Fergus, Arthur Szlam

ICML 2018 - July 9, 2018

Mapping the world population one building at a time

Tobias Tiecke, Xianming Liu, Amy Zhang, Andreas Gros, Nan Li, Gregory Yetman, Talip Kilic, Siobhan Murray

December 15, 2017

Feedback Neural Network for Weakly Supervised Geo-Semantic Segmentation

Xianming Liu, Amy Zhang, Tobias Tiecke, Andreas Gros, Thomas S. Huang

Arxiv - December 6, 2016

Population Density Estimation with Deconvolutional Neural Networks

Amy Zhang, Xianming Liu, Tobias Tiecke, Andreas Gros

NIPS Workshop - December 6, 2016