Jiejun Xu

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 106 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 68 citations into it
• Graph Learning — 51 citations into it
• Computer Vision and Pattern Recognition — 46 citations into it
• Statistical and Nonlinear Physics — 23 citations into it
• Molecular Biology — 13 citations into it
• Computational Mechanics — 12 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Natural Language Processing — 5 citations into it

Whom Jiejun Xu trusts overall

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

1. Geoffrey E. Hinton
2. Yann LeCun
3. Alex Krizhevsky
4. Yoshua Bengio
5. Kaiming He
6. Diederik P. Kingma
7. Ross B. Girshick
8. Ilya Sutskever
9. Karen Simonyan
10. Alex Graves

Papers from Jiejun Xu's perspective

Ordered by how strongly the researchers Jiejun 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Graph convolutional networks: a comprehensive review (2019) — 1,801 citations