Liang Wang

Artificial Intelligence · with Song · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Graph Learning — 8 citations into it
• Statistical and Nonlinear Physics — 8 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Liang Wang trusts overall

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

1. Jeffrey Scott Vitter
2. Santo Fortunato

Papers from Liang Wang's perspective

Ordered by how strongly the researchers Liang 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. Attention is All you Need (Neural Information Processing Systems)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Streaming Graph Neural Networks via Continual Learning (2020) — 148 citations