Guanhua Tian

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Natural Language Processing — 24 citations into it
• Representation & Self-Supervised Learning — 15 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it

Whom Guanhua Tian trusts overall

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

1. Tomas Mikolov
2. Geoffrey E. Hinton
3. Richard Socher
4. Yoshua Bengio
5. Ilya Sutskever
6. Kyunghyun Cho
7. Alex Krizhevsky
8. Diederik P. Kingma
9. Alex Graves
10. Quoc V. Le

Papers from Guanhua Tian's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Self-Taught Convolutional Neural Networks for Short Text Clustering (2017) — 255 citations