Suhuai Luo

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 134 citations into it
• Computer Networks and Communications — 71 citations into it
• Computer Vision and Pattern Recognition — 41 citations into it
• Model Architectures — 9 citations into it
• Optimization & Training — 7 citations into it

Whom Suhuai Luo trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Christian Szegedy
5. Alex Krizhevsky
6. Matthew D. Zeiler
7. Yann LeCun
8. Caroline Tagg
9. Ilya Sutskever
10. Diederik P. Kingma

Who trusts Suhuai Luo overall

1. Xinle Liang

Papers from Suhuai Luo's perspective

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

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

Their papers

• A Comparative Performance Analysis of Data Resampling Methods on Imbalance Medical Data (2021) — 297 citations
• A Review of Content-Based and Context-Based Recommendation Systems (2021) — 308 citations
• A Survey on Machine Learning Techniques for Cyber Security in the Last Decade (2020) — 379 citations
• Deep learning to detect Alzheimer's disease from neuroimaging: A systematic literature review (2019) — 359 citations