Weilun Chen

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 59 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Safety, Robustness & Interpretability — 30 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it
• Signal Processing — 9 citations into it

Whom Weilun Chen trusts overall

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

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

Who trusts Weilun Chen overall

1. Weihao Xia
2. Yanbo Fan
3. Baoyuan Wu

Papers from Weilun Chen's perspective

Ordered by how strongly the researchers Weilun Chen 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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. Going deeper with convolutions

Their papers

• Boosting Decision-Based Black-Box Adversarial Attacks with Random Sign Flip (2020) — 78 citations