Jin Lu

Graph Learning · 2018

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

• Graph Learning — 17 citations into it
• Molecular Biology — 10 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Jin Lu trusts overall

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

1. Yann LeCun

Papers from Jin Lu's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Spectral Networks and Locally Connected Networks on Graphs
8. Learning Multiple Layers of Features from Tiny Images
9. Convolutional Networks on Graphs for Learning Molecular Fingerprints
10. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)

Their papers

• Edge Attention-based Multi-Relational Graph Convolutional Networks (2018) — 96 citations