Baogang Wei

Artificial Intelligence · 2017

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 — 18 citations into it
• Graph Learning — 8 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Baogang Wei trusts overall

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

1. Antoine Bordes
2. David M. Blei
3. Jason Aaron Edward Weston
4. Yoshua Bengio
5. Michael I. Jordan
6. Xavier Glorot
7. Shizhu He
8. Geoffrey E. Hinton
9. Guoliang Ji
10. Jey Han Lau

Papers from Baogang Wei's perspective

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

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

Their papers

• Incorporating Knowledge Graph Embeddings into Topic Modeling (2017) — 66 citations