Xiaoguang Wang

Artificial Intelligence · with Liu · 2018

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

Subfields

• Artificial Intelligence — 34 citations into it; #34,819 of 35,345 by trust here, #30,347 by citations
• Safety, Robustness & Interpretability — 19 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Efficiency & Compression — 6 citations into it

Whom Xiaoguang Wang trusts overall

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

1. Geoffrey E. Hinton
2. R. Caruana
3. Yann LeCun
4. Alex Krizhevsky
5. Yoshua Bengio
6. Ilya Sutskever
7. J. Ross Quinlan
8. Jimmy Ba
9. Yin Lou
10. Diederik P. Kingma

Who trusts Xiaoguang Wang overall

1. Jianping Gou

Papers from Xiaoguang Wang's perspective

Ordered by how strongly the researchers Xiaoguang Wang 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. 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. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Improving the Interpretability of Deep Neural Networks with Knowledge Distillation (2018) — 114 citations