Kaiping Xu

Aerospace Engineering · 2022

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

• Aerospace Engineering — 20 citations into it
• Computational Mechanics — 16 citations into it
• Geology — 16 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Environmental Engineering — 5 citations into it

Whom Kaiping Xu trusts overall

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

1. Diederik P. Kingma
2. Kaiming He

Papers from Kaiping Xu's perspective

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

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

Their papers

• Geometric Transformer for Fast and Robust Point Cloud Registration (2022) — 469 citations