Kunjin Chen

Artificial Intelligence · 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 Kunjin Chen trusts overall

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

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

Who trusts Kunjin Chen overall

1. Alberto Gasparin
2. Slobodan Lukovic

Papers from Kunjin Chen's perspective

Ordered by how strongly the researchers Kunjin 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. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

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