Hongbin Pei

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it

Whom Hongbin Pei trusts overall

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

1. Diederik P. Kingma
2. Keyulu Xu
3. Maximilian Nickel
4. Josh Tenenbaum
5. Geoffrey E. Hinton
6. Jimmy Ba
7. Yoshua Bengio
8. Zhengdao Chen
9. Leonardo F. R. Ribeiro
10. Yann LeCun

Who trusts Hongbin Pei overall

1. Xiyuan Wang
2. Yao Ma
3. Deyu Bo
4. Mingguo He
5. Jiong Zhu
6. Zhewei Wei
7. Xiao Wang
8. Oleg Platonov
9. Ruosong Ye
10. Fangda Gu

Papers from Hongbin Pei's perspective

Ordered by how strongly the researchers Hongbin Pei 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Geom-GCN: Geometric Graph Convolutional Networks (2020) — 1,493 citations