Wenzhong Guo

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 557 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 88 citations into it
• Artificial Intelligence — 73 citations into it
• Multimodal Learning — 32 citations into it
• Generative Models — 23 citations into it
• Model Architectures — 22 citations into it
• Natural Language Processing — 22 citations into it
• Representation & Self-Supervised Learning — 20 citations into it
• Signal Processing — 11 citations into it

Whom Wenzhong Guo trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Kaiming He
5. Ilya Sutskever
6. Alex Graves
7. Yann LeCun
8. Diederik P. Kingma
9. Ruslan Salakhutdinov
10. Karen Simonyan

Papers from Wenzhong Guo's perspective

Ordered by how strongly the researchers Wenzhong Guo 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep Multimodal Representation Learning: A Survey (2019) — 478 citations
• Privacy-preserving smart IoT-based healthcare big data storage and self-adaptive access control system (2018) — 320 citations