Hongseok Kim

Electrical and Electronic Engineering · 2011–2016

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 13 citations into it
• Artificial Intelligence — 5 citations into it

Whom Hongseok Kim trusts overall

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

1. Geoffrey E. Hinton
2. James W. Taylor
3. Andrew L. Maas
4. George L. Nemhauser
5. Martin A. Riedmiller
6. Shu Fan
7. Zidan A. Bashir
8. Patrice Y. Simard

Who trusts Hongseok Kim overall

1. Shunqing Zhang

Papers from Hongseok Kim's perspective

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

1. Dropout: a simple way to prevent neural networks from overfitting
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Best practices for convolutional neural networks applied to visual document analysis
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Rectifier Nonlinearities Improve Neural Network Acoustic Models

Their papers

• Base Station Operation and User Association Mechanisms for Energy-Delay Tradeoffs in Green Cellular Networks (2011) — 501 citations
• Deep neural network based demand side short term load forecasting (2016) — 392 citations