Chunjiang Wu

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 55 citations into it
• Safety, Robustness & Interpretability — 46 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it
• Signal Processing — 16 citations into it
• Natural Language Processing — 5 citations into it

Whom Chunjiang Wu trusts overall

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

1. Nicolas Papernot
2. Geoffrey E. Hinton
3. Ian J. Goodfellow
4. Yann LeCun
5. Christian Szegedy
6. Alex Krizhevsky
7. Yoshua Bengio
8. Ilya Sutskever
9. Diederik P. Kingma
10. Kaiming He

Papers from Chunjiang Wu's perspective

Ordered by how strongly the researchers Chunjiang Wu 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Intriguing properties of neural networks
10. Distilling the Knowledge in a Neural Network (arXiv.org)

Their papers

• Review of Artificial Intelligence Adversarial Attack and Defense Technologies (2019) — 372 citations