Ning Yang

Artificial Intelligence · with Hou · 2018

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Information Systems — 19 citations into it
• Natural Language Processing — 8 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Ning Yang trusts overall

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

1. Yehuda Koren
2. Julian McAuley
3. Nati Srebro
4. Ruslan Salakhutdinov
5. Yongfeng Zhang
6. Geoffrey E. Hinton
7. Yue Lu
8. Jason D. M. Rennie
9. Chong Wang
10. Jure Leskovec

Who trusts Ning Yang overall

1. Weiyu Cheng

Papers from Ning Yang's perspective

Ordered by how strongly the researchers Ning Yang 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. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Explainable recommendation with fusion of aspect information (2018) — 83 citations