Kunlong Chen

Artificial Intelligence · with He · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Electrical and Electronic Engineering — 12 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Management Science and Operations Research — 9 citations into it

Whom Kunlong Chen trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Alex Krizhevsky
5. James W. Taylor
6. Gao Huang
7. R. Golden
8. X. Zhang
9. Ilya Sutskever
10. Yarin Gal

Who trusts Kunlong Chen overall

1. Alberto Gasparin

Papers from Kunlong Chen's perspective

Ordered by how strongly the researchers Kunlong Chen 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Dropout: a simple way to prevent neural networks from overfitting
10. Going deeper with convolutions

Their papers

• Short-Term Load Forecasting With Deep Residual Networks (2018) — 542 citations