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.


Deep learning, computer vision, optimization, and reinforcement learning

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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