Sitao Huang

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Natural Language Processing — 19 citations into it
• Model Architectures — 13 citations into it

Whom Sitao Huang trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Sepp Hochreiter
5. Kaiming He
6. Ilya Sutskever
7. Alex Krizhevsky
8. Dzmitry Bahdanau
9. Quoc V. Le
10. J. Urgen Schmidhuber

Who trusts Sitao Huang overall

1. Xu Tan

Papers from Sitao Huang's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Long Short-Term Memory
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet classification with deep convolutional neural networks
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• FPGA/DNN Co-Design: An Efficient Design Methodology for 1oT Intelligence on the Edge (2019) — 192 citations
• Towards Neural Phrase-based Machine Translation (2017) — 66 citations