Jiang Su

Artificial Intelligence · 2011–2017

A researcher in the Science corpus: 2 papers; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Natural Language Processing — 14 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Model Architectures — 6 citations into it

Whom Jiang Su trusts overall

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

1. Andrew McCallum
2. Gideon S. Mann
3. Arthur P. Dempster
4. Kamal Nigam
5. David D. Lewis
6. Geoffrey E. Hinton
7. Leo Breiman
8. Yann LeCun
9. Mark A. Hall
10. Yoon Kim

Who trusts Jiang Su overall

1. Dani Yogatama
2. Jian Tang
3. Noah A. Smith
4. Meng Qu
5. Vasileios Iosifidis

Papers from Jiang Su's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• End-to-End Multi-View Networks for Text Classification (2017) — 12 citations
• Large Scale Text Classification using Semisupervised Multinomial Naive Bayes (2011) — 89 citations