Zeming Lin

According to our database, Zeming Lin authored at least 16 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Learning inverse folding from millions of predicted structures.

Chloe Hsu, Robert Verkuil, Jason Liu, Zeming Lin, Brian Hie, Tom Sercu, Adam Lerer, Alexander Rives

Proceedings of the International Conference on Machine Learning, 2022

2021

Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences.

Alexander Rives, Joshua Meier, Tom Sercu, Siddharth Goyal, Zeming Lin, Jason Liu, Demi Guo, Myle Ott, C. Lawrence Zitnick, Jerry Ma, Rob Fergus

Proc. Natl. Acad. Sci. USA, 2021

2020

Growing Action Spaces.

Gregory Farquhar, Laura Gustafson, Zeming Lin, Shimon Whiteson, Nicolas Usunier, Gabriel Synnaeve

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

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).

Qing Su, Zeming Lin, Zhiyi Lin, Jianfeng Huang

计算机科学, 2019

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 Z. Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Value Propagation Networks.

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

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger.

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

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play.

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

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Episodic Exploration for Deep Deterministic Policies for StarCraft Micromanagement.

Nicolas Usunier, Gabriel Synnaeve, Zeming Lin, Soumith Chintala

Proceedings of the 5th International Conference on Learning Representations, 2017

DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples.

Ji Gao, Beilun Wang, Zeming Lin, Weilin Xu, Yanjun Qi

Proceedings of the 5th International Conference on Learning Representations, 2017

STARDATA: A StarCraft AI Research Dataset.

Zeming Lin, Jonas Gehring, Vasil Khalidov, Gabriel Synnaeve

Proceedings of the Thirteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-17), 2017

An Analysis of Model-Based Heuristic Search Techniques for StarCraft Combat Scenarios.

David Churchill, Zeming Lin, Gabriel Synnaeve

Proceedings of the Workshops of the Thirteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2017

2016

Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks.

Nicolas Usunier, Gabriel Synnaeve, Zeming Lin, Soumith Chintala

CoRR, 2016

TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games.

Gabriel Synnaeve, Nantas Nardelli, Alex Auvolat, Soumith Chintala, Timothée Lacroix, Zeming Lin, Florian Richoux, Nicolas Usunier

CoRR, 2016

Deep Motif: Visualizing Genomic Sequence Classifications.

Jack Lanchantin, Ritambhara Singh, Zeming Lin, Yanjun Qi

CoRR, 2016

MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-Based Protein Structure Prediction.

Zeming Lin, Jack Lanchantin, Yanjun Qi

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016