Jiangwen Sun

Artificial Intelligence · 2014–2018

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Graph Learning — 17 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Representation & Self-Supervised Learning — 13 citations into it
• Molecular Biology — 11 citations into it
• Computational Mechanics — 7 citations into it
• Optimization & Training — 5 citations into it

Whom Jiangwen Sun trusts overall

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

1. Yann LeCun
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Joan Bruna
7. Ilya Sutskever

Papers from Jiangwen Sun's perspective

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

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

Their papers

• Edge Attention-based Multi-Relational Graph Convolutional Networks (2018) — 96 citations
• On Multiplicative Multitask Feature Learning (2014) — 52 citations