Bo Lang

Artificial Intelligence · with Liu · 2019

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Computer Networks and Communications — 12 citations into it
• Signal Processing — 10 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Model Architectures — 6 citations into it

Whom Bo Lang trusts overall

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

1. Geoffrey E. Hinton
2. Sepp Hochreiter
3. Yoshua Bengio
4. Alex Graves
5. Ilya Sutskever
6. J. Urgen Schmidhuber
7. Alex Krizhevsky
8. Nour Moustafa
9. Yann LeCun
10. Pascal Vincent

Papers from Bo Lang's perspective

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

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

Their papers

• Machine Learning and Deep Learning Methods for Intrusion Detection Systems: A Survey (2019) — 931 citations