Jiyuan Sun

Artificial Intelligence · 2018

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

Subfields

• Artificial Intelligence — 48 citations into it
• Safety, Robustness & Interpretability — 36 citations into it

Whom Jiyuan Sun trusts overall

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

1. Yann LeCun
2. Nicholas Carlini
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Ian J. Goodfellow
6. Kexin Pei
7. Yoshua Bengio
8. Karen Simonyan
9. L. Eon Bottou
10. Christian Szegedy

Papers from Jiyuan Sun's perspective

Ordered by how strongly the researchers Jiyuan 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. Learning Multiple Layers of Features from Tiny Images
5. ImageNet Large Scale Visual Recognition Challenge
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Rectified Linear Units Improve Restricted Boltzmann Machines
8. ImageNet: A large-scale hierarchical image database
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• DeepMutation: Mutation Testing of Deep Learning Systems (2018) — 401 citations
• DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems (2018) — 708 citations