Gang Xu

Computational Biology & Bioinformatics · with Ma · 2021

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Biology & Bioinformatics — 11 citations into it
• Molecular Biology — 11 citations into it
• Materials Chemistry — 7 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Gang Xu trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Sepp Hochreiter
4. Guoli Wang
5. Olaf Ronneberger
6. Georgii G. Krivov
7. Jimmy Ba
8. Roland L. Dunbrack
9. J. Urgen Schmidhuber
10. Carol A. Rohl

Papers from Gang Xu's perspective

Ordered by how strongly the researchers Gang Xu 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. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• OPUS-Rota4: a gradient-based protein side-chain modeling framework assisted by deep learning-based predictors (2021) — 27 citations