Zeming Lin
New York Consortium in Evolutionary Primatology(US)
Publications by Year
Research Areas
Artificial Intelligence in Games, Machine Learning in Bioinformatics, Reinforcement Learning in Robotics, Protein Structure and Dynamics, Genomics and Phylogenetic Studies
Most-Cited Works
- → PyTorch: An Imperative Style, High-Performance Deep Learning Library(2019)16,163 cited
- Automatic differentiation in PyTorch(2017)
- → Evolutionary-scale prediction of atomic-level protein structure with a language model(2023)4,355 cited
- → Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences(2021)2,898 cited
- → Evolutionary-scale prediction of atomic level protein structure with a language model(2022)527 cited
- → Simulating 500 million years of evolution with a language model(2025)480 cited
- → Learning inverse folding from millions of predicted structures(2022)400 cited
- → Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play(2017)142 cited