Zengfeng Huang

Artificial Intelligence · with Chen · 2020

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it; #34,444 of 35,345 by trust here, #17,412 by citations
• Graph Learning — 18 citations into it; #671 of 693 by trust here, #443 by citations
• Computer Vision and Pattern Recognition — 14 citations into it

Whom Zengfeng Huang trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Johannes Klicpera
6. Alex Krizhevsky
7. Yann LeCun
8. Jimmy Ba
9. Petar Velickovic
10. Prithviraj Sen

Who trusts Zengfeng Huang overall

1. Xin Zhou

Papers from Zengfeng Huang's perspective

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

Their papers

• Simple and Deep Graph Convolutional Networks (2020) — 1,998 citations