Zhe Wang

Artificial Intelligence · with Chen · 2020

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it
• Computer Vision and Pattern Recognition — 37 citations into it
• Optimization & Training — 11 citations into it
• Model Architectures — 9 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Zhe Wang trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Karen Simonyan
5. Yoshua Bengio
6. Ross B. Girshick
7. Yann LeCun
8. Sergey Zagoruyko
9. Andrew Zisserman
10. Diederik P. Kingma

Papers from Zhe Wang's perspective

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

Their papers

• Cross-Layer Distillation with Semantic Calibration (2020) — 381 citations