Tianshan Liu

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Natural Language Processing — 15 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it

Whom Tianshan Liu trusts overall

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

1. Chin-Yew Lin
2. Karen Simonyan
3. Yoshua Bengio
4. Dzmitry Bahdanau
5. Geoffrey E. Hinton
6. Andrew Zisserman
7. Diederik P. Kingma
8. Alex Krizhevsky
9. Ilya Sutskever

Papers from Tianshan Liu's perspective

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

Their papers

• MSMO: Multimodal Summarization with Multimodal Output (2018) — 196 citations