Shangsong Liang

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Information Systems — 22 citations into it
• Natural Language Processing — 8 citations into it
• Recommender Systems — 8 citations into it

Whom Shangsong Liang trusts overall

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

1. Yoshua Bengio
2. Ruslan Salakhutdinov
3. Tom Minka
4. Peter D. Turney
5. Duyu Tang
6. Paul Resnick
7. Geoffrey E. Hinton
8. Tomas Mikolov
9. Hanna M. Wallach
10. Yue Shi

Who trusts Shangsong Liang overall

1. Xu Chen
2. Jingyue Gao
3. Chong Chen

Papers from Shangsong Liang's perspective

Ordered by how strongly the researchers Shangsong Liang 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Social Collaborative Viewpoint Regression with Explainable Recommendations (2017) — 146 citations