Yunzhen Zhao

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 181 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it
• Multimodal Learning — 21 citations into it
• Representation & Self-Supervised Learning — 13 citations into it
• Artificial Intelligence — 12 citations into it
• Information Retrieval & Search — 8 citations into it

Whom Yunzhen Zhao trusts overall

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

1. David M. Blei
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Michael I. Jordan
5. Ruslan Salakhutdinov
6. Yoshua Bengio
7. Nitish Srivastava
8. Diederik P. Kingma
9. Kaiming He
10. George A. Miller

Papers from Yunzhen Zhao's perspective

Ordered by how strongly the researchers Yunzhen Zhao 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. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• An Overview of Cross-Media Retrieval: Concepts, Methodologies, Benchmarks, and Challenges (2017) — 311 citations