Shan Xue

Artificial Intelligence · with Sheng · 2021

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 103 citations into it
• Statistical and Nonlinear Physics — 75 citations into it
• Graph Learning — 28 citations into it
• Molecular Biology — 27 citations into it
• Computer Networks and Communications — 26 citations into it
• Representation & Self-Supervised Learning — 15 citations into it

Whom Shan Xue trusts overall

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

1. Mark Newman
2. Santo Fortunato
3. Thomas Kipf
4. Yoshua Bengio
5. Geoffrey E. Hinton
6. Max Welling
7. Andrea Lancichinetti
8. Diederik P. Kingma
9. Yann LeCun
10. Alex Krizhevsky

Papers from Shan Xue's perspective

Ordered by how strongly the researchers Shan Xue 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. GENERATIVE ADVERSARIAL NETS
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Comprehensive Survey on Graph Anomaly Detection With Deep Learning (2021) — 830 citations
• A Comprehensive Survey on Community Detection With Deep Learning (2021) — 454 citations