Liqiang Xiao

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Natural Language Processing — 13 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Model Architectures — 5 citations into it

Whom Liqiang Xiao trusts overall

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

1. Tomas Mikolov
2. Yoshua Bengio
3. Pengfei Liu
4. Xavier Glorot
5. Ilya Sutskever
6. Richard Socher
7. Geoffrey E. Hinton
8. Xipeng Qiu
9. Xin Li
10. Alex Graves

Papers from Liqiang Xiao's perspective

Ordered by how strongly the researchers Liqiang Xiao 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. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Multi-Task Label Embedding for Text Classification (2017) — 101 citations