Guangyou Zhou

Artificial Intelligence · 2014–2016

A researcher in the Science corpus: 3 papers; trusts 31 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it; #22,806 of 35,345 by trust here, #22,463 by citations
• Natural Language Processing — 26 citations into it
• Representation & Self-Supervised Learning — 20 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Information Systems — 7 citations into it; #5,687 of 8,771 by trust here, #6,195 by citations
• Information Retrieval & Search — 6 citations into it; #732 of 1,022 by trust here, #821 by citations

Whom Guangyou Zhou trusts overall

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

1. Yoshua Bengio
2. Chengxiang Zhai
3. Geoffrey E. Hinton
4. Ilya Sutskever
5. Pascal Vincent
6. Tomas Mikolov
7. Richard Socher
8. Xavier Glorot
9. Alex Krizhevsky
10. Diederik P. Kingma

Who trusts Guangyou Zhou overall

1. Hamed Zamani
2. Sebastian Ruder
3. Tao Lei
4. W. Bruce Croft
5. Gonenc Ercan
6. Xu Han
7. Zhou Zhao
8. Thien Huu Nguyen
9. Hrishikesh Joshi
10. Mo Yu

Papers from Guangyou Zhou's perspective

Ordered by how strongly the researchers Guangyou Zhou 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Bi-Transferring Deep Neural Networks for Domain Adaptation (2016) — 48 citations
• Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering (2015) — 181 citations
• Relation Classification via Convolutional Deep Neural Network (2014) — 1,761 citations