Siyuan Lu

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 64 citations into it
• Electrical and Electronic Engineering — 12 citations into it
• Optimization & Training — 10 citations into it
• Biomedical Engineering — 7 citations into it

Whom Siyuan Lu trusts overall

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

1. G. Huang
2. Geoffrey E. Hinton
3. Corinna Cortes
4. Lei Zhang
5. David H. Ackley
6. Alex Krizhevsky
7. Hongming Zhou
8. Vladimir Naumovich Vapnik
9. Jiuwen Cao
10. Wei Li

Who trusts Siyuan Lu overall

1. Jian Wang
2. Hengde Zhu

Papers from Siyuan Lu's perspective

Ordered by how strongly the researchers Siyuan 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. A Fast Learning Algorithm for Deep Belief Nets
4. This PDF file includes: Materials and Methods
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Pathological brain detection based on AlexNet and transfer learning (2019) — 360 citations
• Deep learning in food category recognition (2023) — 341 citations
• A review on extreme learning machine (2021) — 520 citations