Longbiao Kang

Artificial Intelligence · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it

Whom Longbiao Kang trusts overall

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

1. Thorsten Joachims
2. Zhengdong Lu
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Richard Socher
6. Hang Li
7. Tomas Mikolov
8. Andriy Mnih
9. Ronan Collobert
10. Ilya Sutskever

Who trusts Longbiao Kang overall

1. Cedric De Boom
2. Steven Van Canneyt

Papers from Longbiao Kang's perspective

Ordered by how strongly the researchers Longbiao Kang 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. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A novel word embedding learning model using the dissociation between nouns and verbs (2016) — 26 citations
• A Short Texts Matching Method Using Shallow Features and Deep Features (2014) — 15 citations