Jinglin Xu

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 136 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Computer Vision and Pattern Recognition — 22 citations into it
• Representation & Self-Supervised Learning — 19 citations into it
• Optimization & Training — 7 citations into it

Whom Jinglin Xu trusts overall

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

1. Sebastian Thrun
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Kaiming He
5. Gregory R. Koch
6. Alex Krizhevsky
7. Oriol Vinyals
8. Yoshua Bengio
9. Jimmy Ba
10. Yann LeCun

Who trusts Jinglin Xu overall

1. Chi Zhang
2. Masoud Faraki
3. Ji Zhang

Papers from Jinglin Xu's perspective

Ordered by how strongly the researchers Jinglin Xu 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning (2019) — 591 citations
• Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning (2019) — 249 citations