Han Guo

Computer Vision and Pattern Recognition · with Cao · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it
• Model Architectures — 7 citations into it

Whom Han Guo trusts overall

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

1. Karen Simonyan
2. Zhiwei Jin
3. Tomas Mikolov
4. Ilya Sutskever

Papers from Han Guo's perspective

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

1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
10. Recurrent neural network based language model

Their papers

• Multimodal Fusion with Recurrent Neural Networks for Rumor Detection on Microblogs (2017) — 810 citations