Haidong Lan

Molecular Biology · 2021

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 21 citations into it
• Materials Chemistry — 20 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Artificial Intelligence — 9 citations into it
• Computational Biology & Bioinformatics — 9 citations into it
• Model Architectures — 8 citations into it
• Computational Theory and Mathematics — 6 citations into it
• Generative Models — 5 citations into it

Whom Haidong Lan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma
2. Yang Song
3. Geoffrey E. Hinton
4. Jimmy Ba
5. Max Welling
6. Yoshua Bengio
7. Alex Krizhevsky
8. Yilun Du
9. Yann LeCun
10. A. Brunger

Papers from Haidong Lan's perspective

Ordered by how strongly the researchers Haidong Lan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• SE(3)-Equivariant Energy-based Models for End-to-End Protein Folding (2021) — 11 citations