Huan Zhao

Artificial Intelligence · with Yao · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 47 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 54 citations into it
• Computer Vision and Pattern Recognition — 28 citations into it
• Graph Learning — 20 citations into it
• Statistical and Nonlinear Physics — 15 citations into it
• Model Architectures — 12 citations into it
• Molecular Biology — 11 citations into it
• Neural Architecture Search & AutoML — 6 citations into it
• Information Systems — 5 citations into it

Whom Huan Zhao trusts overall

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

1. Barret Zoph
2. Geoffrey E. Hinton
3. Quoc V. Le
4. Yoshua Bengio
5. Alex Krizhevsky
6. Oriol Vinyals
7. Karen Simonyan
8. Diederik P. Kingma
9. Kaiming He
10. Ilya Sutskever

Who trusts Huan Zhao overall

1. Kaixiong Zhou

Papers from Huan Zhao's perspective

Ordered by how strongly the researchers Huan Zhao 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Pooling Architecture Search for Graph Classification (2021) — 88 citations
• DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks (2020) — 88 citations