Chen Wei

Artificial Intelligence · with Liang · 2022

A researcher in the Science corpus: 1 paper; trusts 54 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it
• Computer Vision and Pattern Recognition — 29 citations into it
• Neural Architecture Search & AutoML — 15 citations into it
• Model Architectures — 8 citations into it
• Evaluation & Benchmarks — 6 citations into it
• Graph Learning — 6 citations into it
• Optimization & Training — 6 citations into it

Whom Chen Wei trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Barret Zoph
5. Yoshua Bengio
6. Sergey Ioffe
7. Kaiming He
8. Christian Szegedy
9. Yann LeCun
10. Karen Simonyan

Papers from Chen Wei's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search (2022) — 127 citations