Xinyuan Huang

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Model Architectures — 7 citations into it

Whom Xinyuan Huang trusts overall

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

1. Taco Cohen
2. Max Welling
3. Diederik P. Kingma
4. Iain H. Moal
5. Geoffrey E. Hinton
6. Mieczyslaw Torchala
7. Badri Adhikari
8. Jimmy Ba
9. Rong Chen
10. Catalin Ionescu

Papers from Xinyuan Huang's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking (2021) — 174 citations