Zhaokun Zhou

Electrical and Electronic Engineering · 2023

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 29 citations into it
• Computer Vision and Pattern Recognition — 24 citations into it
• Model Architectures — 19 citations into it
• Cognitive Neuroscience — 17 citations into it

Whom Zhaokun Zhou trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alec Radford
6. Diederik P. Kingma
7. Wolfgang Maass
8. Jia Deng
9. Eugene M. Izhikevich
10. Mark A. Horowitz

Papers from Zhaokun Zhou's perspective

Ordered by how strongly the researchers Zhaokun Zhou 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. ImageNet: A large-scale hierarchical image database
5. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Going deeper with convolutions

Their papers

• Spike-driven Transformer (2023) — 315 citations