Guilu Wu

Graph Learning · 2023

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

Subfields

• Graph Learning — 25 citations into it
• Molecular Biology — 8 citations into it

Whom Guilu Wu trusts overall

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

1. Aditya Grover

Papers from Guilu Wu's perspective

Ordered by how strongly the researchers Guilu Wu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Deep Learning with Graph Convolutional Networks: An Overview and Latest Applications in Computational Intelligence (2023) — 402 citations