Kun-Han Lu

Cognitive Neuroscience · 2016

A researcher in the Science corpus: 1 paper; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 33 citations into it
• Computer Vision and Pattern Recognition — 26 citations into it
• Artificial Intelligence — 14 citations into it
• Neuroscience — 8 citations into it

Whom Kun-Han Lu trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kaiming He
4. Karen Simonyan
5. Ilya Sutskever
6. Thomas Naselaris
7. Matthew D. Zeiler
8. Jia Deng
9. Yoshua Bengio
10. Yann LeCun

Papers from Kun-Han Lu's perspective

Ordered by how strongly the researchers Kun-Han Lu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. ImageNet: A large-scale hierarchical image database
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet Large Scale Visual Recognition Challenge
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. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision (2016) — 328 citations