Min Xu

Artificial Intelligence · with Hameed · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 77 citations into it
• Computer Networks and Communications — 69 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it

Whom Min Xu trusts

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

1. Salvatore J. Stolfo (in Computer Networks and Communications)
2. Rob Fergus (in Computer Vision and Pattern Recognition)
3. Matthew D. Zeiler (in Computer Vision and Pattern Recognition)
4. Shaoqing Ren (in Computer Vision and Pattern Recognition)

Papers from Min Xu's perspective

Ordered by how strongly the researchers Min Xu 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. Going deeper with convolutions
3. ImageNet classification with deep convolutional neural networks
4. Visualizing and Understanding Convolutional Networks
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Explaining and Harnessing Adversarial Examples
9. Learning Multiple Layers of Features from Tiny Images
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• A Survey on Machine Learning Techniques for Cyber Security in the Last Decade (2020) — 379 citations