Jun Lu

Artificial Intelligence · with Ma · 2017

A researcher in the Science corpus: 1 paper; trusts 39 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #24,399 of 35,345 by trust here, #34,213 by citations
• Computer Vision and Pattern Recognition — 7 citations into it
• Model Architectures — 5 citations into it

Whom Jun Lu trusts overall

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

1. Yarin Gal
2. Diederik P. Kingma
3. Kaiming He
4. Andrea Vedaldi
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Jimmy Ba
8. X. Zhang
9. Yann LeCun
10. Yoshua Bengio

Who trusts Jun Lu overall

1. Hongpeng Zhou

Papers from Jun Lu's perspective

Ordered by how strongly the researchers Jun Lu 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. Going deeper with convolutions
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• An Equivalence of Fully Connected Layer and Convolutional Layer (2017) — 79 citations