Yong Xu

Artificial Intelligence · with Huang · 2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Information Systems — 21 citations into it

Whom Yong Xu trusts overall

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

1. Xiangnan He
2. Xiang Wang
3. Ruslan Salakhutdinov
4. Geoffrey E. Hinton
5. Yehuda Koren

Papers from Yong Xu's perspective

Ordered by how strongly the researchers Yong Xu 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Representation Learning with Contrastive Predictive Coding

Their papers

• Hypergraph Contrastive Collaborative Filtering (2022) — 479 citations