Jong-Hwan Lee

Artificial Intelligence · 2011–2015

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Optimization & Training — 10 citations into it
• Model Architectures — 6 citations into it

Whom Jong-Hwan Lee trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Hugo Larochelle
5. Alex Graves
6. Ilya Sutskever
7. Dumitru Erhan
8. Yann LeCun
9. Ruslan Salakhutdinov
10. Diederik P. Kingma

Who trusts Jong-Hwan Lee overall

1. Vince D. Calhoun

Papers from Jong-Hwan Lee's perspective

Ordered by how strongly the researchers Jong-Hwan Lee 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. 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. Going deeper with convolutions

Their papers

• Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain resting-state functional connectivity patterns of schizophrenia (2015) — 330 citations
• Focused ultrasound modulates region-specific brain activity (2011) — 569 citations