Yu Zheng

Artificial Intelligence · with Zhang · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 142 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 64 citations into it
• Computer Vision and Pattern Recognition — 54 citations into it
• Neural Architecture Search & AutoML — 25 citations into it
• Model Architectures — 13 citations into it
• Representation & Self-Supervised Learning — 13 citations into it
• Graph Learning — 10 citations into it
• Optimization & Training — 10 citations into it
• Generative Models — 6 citations into it

Whom Yu Zheng trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Kaiming He
5. Alex Krizhevsky
6. Ronald J. Williams
7. Barret Zoph
8. Yann LeCun
9. Max Welling
10. Ilya Sutskever

Who trusts Yu Zheng overall

1. Colin White

Papers from Yu Zheng's perspective

Ordered by how strongly the researchers Yu Zheng 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. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
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. Going deeper with convolutions

Their papers

• HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking (2019) — 22 citations
• Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? (2020) — 126 citations