Xingxing Wang

Computer Vision and Pattern Recognition · with Wang · 2015

A researcher in the Science corpus: 2 papers; trusts 664 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 325 citations into it
• Artificial Intelligence — 205 citations into it
• Model Architectures — 56 citations into it
• Optimization & Training — 50 citations into it
• Natural Language Processing — 26 citations into it
• Media Technology — 23 citations into it
• Representation & Self-Supervised Learning — 20 citations into it

Whom Xingxing Wang trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yann LeCun
4. Kaiming He
5. Yoshua Bengio
6. Ross B. Girshick
7. Christian Szegedy
8. Ilya Sutskever
9. Karen Simonyan
10. Diederik P. Kingma

Who trusts Xingxing Wang overall

1. Bo Zhao

Papers from Xingxing Wang's perspective

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

Their papers

• Recent advances in convolutional neural networks (2015) — 6,013 citations
• Learning fine-grained features via a CNN Tree for Large-scale Classification (2015) — 52 citations