Hui Wang

Computer Vision and Pattern Recognition · with Li · 2018

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Artificial Intelligence — 17 citations into it
• Model Architectures — 8 citations into it

Whom Hui Wang trusts overall

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

1. Ross B. Girshick
2. Geoffrey E. Hinton
3. Karen Simonyan
4. Alex Krizhevsky
5. Kaiming He
6. Andrew Zisserman
7. Yoshua Bengio
8. Yann LeCun
9. Oriol Vinyals
10. Theodore S. Nowak

Who trusts Hui Wang overall

1. Mengya Gao
2. Muhamad Risqi U. Saputra
3. Changlin Li
4. Yujun Shen
5. Pedro Porto Buarque de Gusmão

Papers from Hui Wang's perspective

Ordered by how strongly the researchers Hui 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Progressive Blockwise Knowledge Distillation for Neural Network Acceleration (2018) — 73 citations