Min-Joo Kang

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it

Whom Min-Joo Kang trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Dumitru Erhan
4. Dan Claudiu Ciresan
5. Li Deng
6. Alex Krizhevsky
7. Simon Osindero
8. Yann LeCun
9. Yisheng Lv
10. J. Urgen Schmidhuber

Who trusts Min-Joo Kang overall

1. Quamar Niyaz
2. M. Mohammadi
3. Daniel S. Berman
4. Manuel López Martín
5. Weiqing Sun
6. Ala Al-Fuqaha
7. Anna L. Buczak
8. Belén Carro
9. Jianshi Tang
10. Ahmad Y. Javaid

Papers from Min-Joo Kang's perspective

Ordered by how strongly the researchers Min-Joo Kang 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security (2016) — 606 citations