Yiqun Hui

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Information Systems — 21 citations into it

Whom Yiqun Hui trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. Xiangnan He

Papers from Yiqun Hui's perspective

Ordered by how strongly the researchers Yiqun Hui trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
5. ImageNet classification with deep convolutional neural networks
6. Long Short-Term Memory
7. Understanding the difficulty of training deep feedforward neural networks
8. Gradient-based learning applied to document recognition
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Sequential Recommendation with Graph Neural Networks (2021) — 482 citations