Xiaofei Liu

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Information Systems — 16 citations into it
• Natural Language Processing — 15 citations into it
• Representation & Self-Supervised Learning — 13 citations into it
• Statistical and Nonlinear Physics — 9 citations into it

Whom Xiaofei Liu trusts overall

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

1. Tomas Mikolov
2. Yoshua Bengio
3. Ilya Sutskever
4. Geoffrey E. Hinton
5. Taher H. Haveliwala
6. Sepp Hochreiter
7. Sam T. Roweis
8. Oriol Vinyals
9. Diederik P. Kingma
10. Dzmitry Bahdanau

Papers from Xiaofei Liu's perspective

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

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

Their papers

• ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation (2017) — 333 citations
• Scalable Graph Embedding for Asymmetric Proximity (2017) — 210 citations