Tianyang Wang

Computer Vision and Pattern Recognition · with Huan · 2018

A researcher in the Science corpus: 1 paper; trusts 138 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it; #17,043 of 21,575 by trust here, #19,766 by citations
• Artificial Intelligence — 14 citations into it; #27,616 of 35,345 by trust here, #31,361 by citations
• Model Architectures — 9 citations into it
• Optimization & Training — 7 citations into it

Whom Tianyang Wang trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Yoshua Bengio
6. X. Zhang
7. Gao Huang
8. Yann LeCun
9. Xavier Glorot
10. Vinod Nair

Who trusts Tianyang Wang overall

1. Nicholas Carlini
2. Qing Sun
3. Yiben Yang
4. Ú. Erlingsson
5. Fan Lyu

Papers from Tianyang Wang's perspective

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

Their papers

• Data Dropout: Optimizing Training Data for Convolutional Neural Networks (2018) — 65 citations