Lan Wei

Artificial Intelligence · with He · 2021

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Graph Learning — 14 citations into it
• Statistical and Nonlinear Physics — 8 citations into it
• Model Architectures — 6 citations into it

Whom Lan Wei trusts overall

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

1. Barret Zoph
2. Oriol Vinyals
3. Geoffrey E. Hinton
4. Quoc V. Le
5. Yoshua Bengio
6. Alex Krizhevsky
7. Diederik P. Kingma
8. Kaiming He
9. Karen Simonyan
10. Ilya Sutskever

Who trusts Lan Wei overall

1. Kaixiong Zhou
2. Qingquan Song

Papers from Lan Wei's perspective

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

Their papers

• Pooling Architecture Search for Graph Classification (2021) — 88 citations