Yu-Gang Jiang

Information Systems · with He · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 33 citations into it
• Artificial Intelligence — 25 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Management Science and Operations Research — 11 citations into it

Whom Yu-Gang Jiang trusts overall

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

1. Xiangnan He

Papers from Yu-Gang Jiang's perspective

Ordered by how strongly the researchers Yu-Gang Jiang trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• NAIS: Neural Attentive Item Similarity Model for Recommendation (2018) — 531 citations