Jiakui Hu

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 Jiakui Hu 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. Yann LeCun

Papers from Jiakui Hu's perspective

Ordered by how strongly the researchers Jiakui Hu 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. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
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