Jingyue Gao

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Information Systems — 20 citations into it
• Recommender Systems — 6 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Jingyue Gao trusts overall

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

1. Diederik P. Kingma
2. Yehuda Koren
3. Ruslan Salakhutdinov
4. Geoffrey E. Hinton
5. Julian McAuley
6. Jimmy Ba
7. Xiangnan He
8. Yoshua Bengio
9. Georgina Peake
10. Michal Kompan

Papers from Jingyue Gao's perspective

Ordered by how strongly the researchers Jingyue Gao 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Explainable Recommendation through Attentive Multi-View Learning (2019) — 128 citations