Biao Lu

Artificial Intelligence · with He · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Information Systems — 13 citations into it
• Graph Learning — 11 citations into it

Whom Biao Lu trusts overall

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

1. Xiangnan He
2. Xiang Wang

Papers from Biao Lu's perspective

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

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

Their papers

• UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation (2021) — 471 citations