Dixin Luo

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Graph Learning — 6 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Dixin Luo trusts overall

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

1. Marco Cuturi
2. Diederik P. Kingma
3. Facundo M'emoli
4. Tomas Mikolov
5. Geoffrey E. Hinton
6. Aditya Grover
7. G. Peyr'e
8. Sergey Ivanov
9. Jeffrey Pennington
10. Jimmy Ba

Papers from Dixin Luo's perspective

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

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

Their papers

• Gromov-Wasserstein Learning for Graph Matching and Node Embedding (2019) — 323 citations