Baoliang Lu

Cognitive Neuroscience · 2020

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 29 citations into it
• Experimental and Cognitive Psychology — 14 citations into it
• Artificial Intelligence — 10 citations into it
• Cellular and Molecular Neuroscience — 9 citations into it
• Electrical and Electronic Engineering — 5 citations into it

Whom Baoliang Lu trusts overall

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

1. Wei-Long Zheng
2. Yu Zhang
3. Sinno Jialin Pan
4. Soraia M. Alarcão
5. Christian Szegedy
6. Bao-Liang Lu
7. Qiang Yang

Papers from Baoliang Lu's perspective

Ordered by how strongly the researchers Baoliang Lu 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Intriguing properties of neural networks
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Transfer Learning for EEG-Based Brain–Computer Interfaces: A Review of Progress Made Since 2016 (2020) — 399 citations