Xiaodong Shi

Artificial Intelligence · with Tan · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 57 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it; #29,716 of 35,345 by trust here, #17,412 by citations
• Natural Language Processing — 43 citations into it; #4,836 of 5,688 by trust here, #3,529 by citations
• Computer Vision and Pattern Recognition — 19 citations into it
• Model Architectures — 19 citations into it

Whom Xiaodong Shi trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Graves
4. Ilya Sutskever
5. Dzmitry Bahdanau
6. Kyunghyun Cho
7. Alex Krizhevsky
8. Kaiming He
9. Richard Socher
10. Diederik P. Kingma

Who trusts Xiaodong Shi overall

1. Jie Yang
2. Graham Neubig

Papers from Xiaodong Shi's perspective

Ordered by how strongly the researchers Xiaodong Shi 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. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
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. Dropout: a simple way to prevent neural networks from overfitting

Their papers

• Deep Semantic Role Labeling with Self-Attention (2017) — 320 citations
• Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation (2016) — 92 citations