Feng Liao

Artificial Intelligence · 2019

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 — 8 citations into it
• Natural Language Processing — 6 citations into it

Whom Feng Liao trusts overall

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

1. Yoon Kim
2. Sepp Hochreiter
3. H. Brendan McMahan
4. Yoshua Bengio
5. Jeffrey Pennington
6. Geoffrey E. Hinton
7. J. Urgen Schmidhuber
8. Kyunghyun Cho
9. Jakub Konecný
10. Richard Socher

Papers from Feng Liao's perspective

Ordered by how strongly the researchers Feng Liao 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. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Federated Hierarchical Hybrid Networks for Clickbait Detection (2019) — 5 citations