Zeming Lin

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 22

Top Topics

Intrinsic Motivation

Unsupervised Learning

Protein Structure Prediction

Top Venues

Publications

Chloe Hsu, Robert Verkuil, Jason Liu, Zeming Lin, Brian Hie, Tom Sercu, Adam Lerer, Alexander Rives
Learning inverse folding from millions of predicted structures. ICML (2022)
Alexander Rives, Joshua Meier, Tom Sercu, Siddharth Goyal, Zeming Lin, Jason Liu, Demi Guo, Myle Ott, C. Lawrence Zitnick, Jerry Ma, Rob Fergus
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences. Proc. Natl. Acad. Sci. USA 118 (15) (2021)
Gregory Farquhar, Laura Gustafson, Zeming Lin, Shimon Whiteson, Nicolas Usunier, Gabriel Synnaeve
Growing Action Spaces. ICML (2020)
Gregory Farquhar, Laura Gustafson, Zeming Lin, Shimon Whiteson, Nicolas Usunier, Gabriel Synnaeve
Growing Action Spaces. CoRR (2019)
Nantas Nardelli, Gabriel Synnaeve, Zeming Lin, Pushmeet Kohli, Philip H. S. Torr, Nicolas Usunier
Value Propagation Networks. ICLR (Poster) (2019)
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 Z. Yang, Zach DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala
PyTorch: An Imperative Style, High-Performance Deep Learning Library. CoRR (2019)
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 Z. Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala
PyTorch: An Imperative Style, High-Performance Deep Learning Library. NeurIPS (2019)
Qing Su, Zeming Lin, Zhiyi Lin, Jianfeng Huang
基于非线性模糊矩阵的代码混淆有效性评估模型 (Code Obfuscation Effectiveness Assessment Model Based on Nonlinear Fuzzy Matrices). 计算机科学 46 (4) (2019)
Sainbayar Sukhbaatar, Zeming Lin, Ilya Kostrikov, Gabriel Synnaeve, Arthur Szlam, Rob Fergus
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play. ICLR (Poster) (2018)
Gabriel Synnaeve, Zeming Lin, Jonas Gehring, Daniel Gant, Vegard Mella, Vasil Khalidov, Nicolas Carion, Nicolas Usunier
Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger. NeurIPS (2018)
Nantas Nardelli, Gabriel Synnaeve, Zeming Lin, Pushmeet Kohli, Philip H. S. Torr, Nicolas Usunier
Value Propagation Networks. CoRR (2018)
Gabriel Synnaeve, Zeming Lin, Jonas Gehring, Daniel Gant, Vegard Mella, Vasil Khalidov, Nicolas Carion, Nicolas Usunier
Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger. CoRR (2018)
David Churchill, Zeming Lin, Gabriel Synnaeve
An Analysis of Model-Based Heuristic Search Techniques for StarCraft Combat Scenarios. AIIDE Workshops (2017)
Nicolas Usunier, Gabriel Synnaeve, Zeming Lin, Soumith Chintala
Episodic Exploration for Deep Deterministic Policies for StarCraft Micromanagement. ICLR (Poster) (2017)
Zeming Lin, Jonas Gehring, Vasil Khalidov, Gabriel Synnaeve
STARDATA: A StarCraft AI Research Dataset. CoRR (2017)
Ji Gao, Beilun Wang, Zeming Lin, Weilin Xu, Yanjun Qi
DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples. ICLR (Workshop) (2017)
Zeming Lin, Jonas Gehring, Vasil Khalidov, Gabriel Synnaeve
STARDATA: A StarCraft AI Research Dataset. AIIDE (2017)
Jack Lanchantin, Ritambhara Singh, Zeming Lin, Yanjun Qi
Deep Motif: Visualizing Genomic Sequence Classifications. CoRR (2016)
Zeming Lin, Jack Lanchantin, Yanjun Qi
MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-Based Protein Structure Prediction. AAAI (2016)
Zeming Lin, Jack Lanchantin, Yanjun Qi
MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-based Protein Structure Prediction. CoRR (2016)
Gabriel Synnaeve, Nantas Nardelli, Alex Auvolat, Soumith Chintala, Timothée Lacroix, Zeming Lin, Florian Richoux, Nicolas Usunier
TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games. CoRR (2016)
Nicolas Usunier, Gabriel Synnaeve, Zeming Lin, Soumith Chintala
Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks. CoRR (2016)