Ziyang Wu

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Ziyang Wu trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yann LeCun
4. Kaiming He
5. Yoshua Bengio
6. Zhizhong Li
7. Oriol Vinyals
8. X. Zhang
9. Diederik P. Kingma
10. Ilya Sutskever

Who trusts Ziyang Wu overall

1. Yaoyao Liu
2. Haoxuan Qu
3. Kyungho Baek
4. Bernt Schiele
5. Da-Wei Zhou
6. Hossein Rahmani

Papers from Ziyang Wu's perspective

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

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

Their papers

• Incremental Learning via Rate Reduction (2020) — 51 citations