Chang Xu

Artificial Intelligence · with Chen · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it; #31,485 of 35,345 by trust here, #17,776 by citations
• Safety, Robustness & Interpretability — 23 citations into it; #1,979 of 2,251 by trust here, #1,512 by citations
• Signal Processing — 18 citations into it; #6,796 of 7,572 by trust here, #2,990 by citations
• Computer Vision and Pattern Recognition — 14 citations into it

Whom Chang Xu trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Simon S. Haykin
4. Tianyu Gu
5. Scott M. Lundberg
6. Yuntao Liu
7. Kang Liu
8. Brendan Dolan-Gavitt
9. Marco Tulio Ribeiro
10. Geoffrey E. Hinton

Who trusts Chang Xu overall

1. Eugene Bagdasarian
2. Dongxian Wu
3. Anh Gia-Tuan Nguyen

Papers from Chang Xu's perspective

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

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

Their papers

• STRIP: a defence against trojan attacks on deep neural networks (2019) — 1,077 citations