Ming Zhu

Artificial Intelligence · with Wang · 2017

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

Subfields

• Artificial Intelligence — 15 citations into it; #26,528 of 35,345 by trust here, #17,412 by citations

Whom Ming Zhu trusts overall

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

1. Yann LeCun
2. Yoon Kim
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Ronan Collobert
6. L. Eon Bottou
7. Alex Krizhevsky
8. Diederik P. Kingma
9. Ilya Sutskever

Who trusts Ming Zhu overall

1. Chaoyun Zhang
2. Daniel S. Berman
3. Shahbaz Rezaei
4. Giuseppe Aceto
5. Paul Patras
6. Kamran Shaukat
7. Anna L. Buczak
8. Mohammad Lotfollahi

Papers from Ming Zhu's perspective

Ordered by how strongly the researchers Ming Zhu 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Rectified Linear Units Improve Restricted Boltzmann Machines
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Malware traffic classification using convolutional neural network for representation learning (2017) — 924 citations
• End-to-end encrypted traffic classification with one-dimensional convolution neural networks (2017) — 825 citations