People

Zeming Lin

Software Engineer

I am a Research Engineer at FAIR, working on back-end infrastructure. I hold a Master’s and BS from the University of Virginia, where I worked with Yanjun Qi on applications of machine learning, particularly in protein structure prediction and security.

Interests

Deep learning, structure prediction, and bioinformatics

Latest Publications

PyTorch: An Imperative Style, High-Performance Deep Learning Library

Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Yang, Zach DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala

NeurIPS - December 2, 2019

Value Propagation Networks

Nantas Nardelli, Gabriel Synnaeve, Zeming Lin, Pushmeet Kohli, Philip H.S. Torr, Nicolas Usunier

ICLR - May 6, 2019

Forward Modeling for Partial Observation Strategy Games – A StarCraft Defogger

Gabriel Synnaeve, Zeming Lin, Jonas Gehring, Dan Gant, Vegard Mella, Vasil Khalidov, Nicolas Carion, Nicolas Usunier

NeurIPS - December 3, 2018

Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play

Sainbayar Sukhbaatar, Zeming Lin, Ilya Kostrikov, Gabriel Synnaeve, Arthur Szlam, Rob Fergus

ICLR 2018 - April 30, 2018

STARDATA: a StarCraft AI Research Dataset

Zeming Lin, Jonas Gehring, Vasil Khalidov, Gabriel Synnaeve

AAAI AIIDE 2017 - October 5, 2017

Episodic Exploration for Deep Deterministic Policies for StarCraft Micro-Management

Nicolas Usunier, Gabriel Synnaeve, Zeming Lin, Soumith Chintala

ICLR 2017 - April 24, 2017