Suhang Wang

Artificial Intelligence · with Zhang · 2021

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Graph Learning — 12 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Representation & Self-Supervised Learning — 6 citations into it
• Electrical and Electronic Engineering — 5 citations into it

Whom Suhang Wang trusts overall

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

1. Andrew P. Bradley
2. Ajinkya More
3. Thomas Kipf
4. Lei Tang
5. Nitesh V. Chawla
6. Bryan Perozzi
7. William L. Hamilton

Papers from Suhang Wang's perspective

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

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

Their papers

• GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks (2021) — 483 citations