Lei Pan

Signal Processing · with Xiang · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 39 citations into it
• Artificial Intelligence — 38 citations into it
• Natural Language Processing — 13 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Model Architectures — 7 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Lei Pan trusts overall

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

1. Geoffrey E. Hinton
2. Tomas Mikolov
3. Diederik P. Kingma
4. Ilya Sutskever
5. Yoshua Bengio
6. Kaiming He
7. Alex Krizhevsky
8. Yann LeCun
9. Quoc V. Le
10. Christian Szegedy

Papers from Lei Pan's perspective

Ordered by how strongly the researchers Lei Pan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Going deeper with convolutions
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Deep Learning Based Attack Detection for Cyber-Physical System Cybersecurity: A Survey (2022) — 321 citations
• A Survey of Android Malware Detection with Deep Neural Models (2020) — 298 citations