Boqing Zhu

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Signal Processing — 6 citations into it

Whom Boqing Zhu trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Karen Simonyan
4. Jimmy Ba
5. Alex Krizhevsky
6. Yoshua Bengio
7. Sergey Zagoruyko
8. Yann LeCun
9. Andrew Zisserman
10. Pete Warden

Papers from Boqing Zhu's perspective

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

Their papers

• An Adversarial Feature Distillation Method for Audio Classification (2019) — 24 citations