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Zeming Lin
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2020 – today
- 2022
- [c11]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: 8946-8970 - 2021
- [j2]Alexander Rives
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences. Proc. Natl. Acad. Sci. USA 118(15): e2016239118 (2021) - 2020
- [c10]Gregory Farquhar, Laura Gustafson, Zeming Lin, Shimon Whiteson, Nicolas Usunier, Gabriel Synnaeve:
Growing Action Spaces. ICML 2020: 3040-3051
2010 – 2019
- 2019
- [j1]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): 197-202 (2019) - [c9]Nantas Nardelli, Gabriel Synnaeve, Zeming Lin, Pushmeet Kohli, Philip H. S. Torr, Nicolas Usunier:
Value Propagation Networks. ICLR (Poster) 2019 - [c8]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: 8024-8035 - [i9]Gregory Farquhar, Laura Gustafson, Zeming Lin, Shimon Whiteson, Nicolas Usunier, Gabriel Synnaeve:
Growing Action Spaces. CoRR abs/1906.12266 (2019) - [i8]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 abs/1912.01703 (2019) - 2018
- [c7]Sainbayar Sukhbaatar, Zeming Lin, Ilya Kostrikov, Gabriel Synnaeve, Arthur Szlam, Rob Fergus:
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play. ICLR (Poster) 2018 - [c6]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: 10761-10771 - [i7]Nantas Nardelli, Gabriel Synnaeve, Zeming Lin, Pushmeet Kohli, Philip H. S. Torr, Nicolas Usunier:
Value Propagation Networks. CoRR abs/1805.11199 (2018) - [i6]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 abs/1812.00054 (2018) - 2017
- [c5]David Churchill, Zeming Lin, Gabriel Synnaeve:
An Analysis of Model-Based Heuristic Search Techniques for StarCraft Combat Scenarios. AIIDE Workshops 2017 - [c4]Zeming Lin, Jonas Gehring, Vasil Khalidov, Gabriel Synnaeve:
STARDATA: A StarCraft AI Research Dataset. AIIDE 2017: 50-56 - [c3]Ji Gao, Beilun Wang, Zeming Lin, Weilin Xu, Yanjun Qi:
DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples. ICLR (Workshop) 2017 - [c2]Nicolas Usunier, Gabriel Synnaeve, Zeming Lin, Soumith Chintala:
Episodic Exploration for Deep Deterministic Policies for StarCraft Micromanagement. ICLR (Poster) 2017 - [i5]Zeming Lin, Jonas Gehring, Vasil Khalidov, Gabriel Synnaeve:
STARDATA: A StarCraft AI Research Dataset. CoRR abs/1708.02139 (2017) - 2016
- [c1]Zeming Lin, Jack Lanchantin, Yanjun Qi:
MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-Based Protein Structure Prediction. AAAI 2016: 27-34 - [i4]Jack Lanchantin, Ritambhara Singh, Zeming Lin, Yanjun Qi:
Deep Motif: Visualizing Genomic Sequence Classifications. CoRR abs/1605.01133 (2016) - [i3]Zeming Lin, Jack Lanchantin, Yanjun Qi:
MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-based Protein Structure Prediction. CoRR abs/1605.03004 (2016) - [i2]Nicolas Usunier, Gabriel Synnaeve, Zeming Lin, Soumith Chintala:
Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks. CoRR abs/1609.02993 (2016) - [i1]Gabriel Synnaeve, Nantas Nardelli, Alex Auvolat
TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games. CoRR abs/1611.00625 (2016)
Coauthor Index
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