Jun Gao

Artificial Intelligence · with Liu · 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 Jun Gao trusts overall

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

1. Tomas Mikolov

Papers from Jun Gao's perspective

Ordered by how strongly the researchers Jun Gao 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
4. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
5. ImageNet classification with deep convolutional neural networks
6. GloVe: Global Vectors for Word Representation
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Gradient-based learning applied to document recognition
10. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Their papers

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