Hui Yu

Artificial Intelligence · with Wen · 2022

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Information Systems — 23 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Model Architectures — 10 citations into it

Whom Hui Yu trusts overall

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

1. Steffen Rendle
2. Kaiming He
3. Balázs Hidasi
4. Fernando J. Pineda
5. Julian McAuley
6. Geoffrey E. Hinton
7. Diederik P. Kingma
8. Alex Krizhevsky
9. Yoshua Bengio
10. Jiaxi Tang

Who trusts Hui Yu overall

1. Yupeng Hou

Papers from Hui Yu's perspective

Ordered by how strongly the researchers Hui Yu 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Filter-enhanced MLP is All You Need for Sequential Recommendation (2022) — 468 citations