Hanyu Zhao

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Computer Vision and Pattern Recognition — 28 citations into it

Whom Hanyu Zhao trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Cristian Bucila
4. Oriol Vinyals
5. Kaiming He
6. Ilya Sutskever
7. Yoshua Bengio
8. Gao Huang
9. Junho Yim
10. Ying Zhang

Papers from Hanyu Zhao's perspective

Ordered by how strongly the researchers Hanyu 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. ImageNet: A large-scale hierarchical image database
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Distilling the Knowledge in a Neural Network (arXiv.org)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Long Short-Term Memory
10. Gradient-based learning applied to document recognition

Their papers

• MSD: Multi-Self-Distillation Learning via Multi-classifiers within Deep Neural Networks (2019) — 28 citations
• Gandiva: Introspective Cluster Scheduling for Deep Learning (2018) — 605 citations