Changjun Fan

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Graph Learning — 14 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Changjun Fan trusts overall

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

1. Yoshua Bengio
2. Thomas Kipf
3. Alan M. Frieze
4. Max Welling
5. Geoffrey E. Hinton
6. William L. Hamilton
7. Diederik P. Kingma
8. Daixin Wang
9. Zhuwen Li
10. Alex Krizhevsky

Papers from Changjun Fan's perspective

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

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

Their papers

• Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks (2020) — 366 citations
• Finding key players in complex networks through deep reinforcement learning (2020) — 386 citations