Inkyu Lee

Artificial Intelligence · 2018

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it
• Electrical and Electronic Engineering — 5 citations into it; #6,225 of 16,539 by trust here, #13,165 by citations

Whom Inkyu Lee trusts overall

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

1. Yoshua Bengio
2. Patric R. J. Östergård
3. Yann LeCun
4. Hoon Lee
5. Diederik P. Kingma
6. Sergey Ioffe
7. Geoffrey E. Hinton

Who trusts Inkyu Lee overall

1. Hoon Lee
2. Sang Hyun Lee
3. Tony Q. S. Quek

Papers from Inkyu Lee's perspective

Ordered by how strongly the researchers Inkyu Lee trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Learning Deep Architectures for AI
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Deep Learning Framework for Wireless Systems: Applications to Optical Wireless Communications (2018) — 48 citations
• Binary signaling design for visible light communication: a deep learning framework. (2018) — 40 citations
• Deep learning based transceiver design for multi-colored VLC systems. (2018) — 48 citations