Tinghuan Chen

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 115 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 69 citations into it
• Artificial Intelligence — 53 citations into it
• Efficiency & Compression — 35 citations into it
• Model Architectures — 17 citations into it

Whom Tinghuan Chen trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Yann LeCun
4. Alex Krizhevsky
5. Yoshua Bengio
6. X. Zhang
7. Ilya Sutskever
8. Diederik P. Kingma
9. Karen Simonyan
10. Matthew D. Zeiler

Papers from Tinghuan Chen's perspective

Ordered by how strongly the researchers Tinghuan Chen 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. ImageNet: A large-scale hierarchical image database
7. Going deeper with convolutions
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Recent Advances in Convolutional Neural Network Acceleration (2018) — 382 citations