Yansong Gao

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 59 citations into it; #31,484 of 35,345 by trust here, #16,471 by citations
• Signal Processing — 27 citations into it; #6,797 of 7,572 by trust here, #2,990 by citations
• Safety, Robustness & Interpretability — 25 citations into it; #1,982 of 2,251 by trust here, #1,512 by citations
• Computer Vision and Pattern Recognition — 24 citations into it
• Hardware and Architecture — 24 citations into it
• Electrical and Electronic Engineering — 17 citations into it

Whom Yansong Gao trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Meng-Day (Mandel) Yu
4. Srini Devadas
5. Yann LeCun
6. Jorge Guajardo
7. G. Suh
8. Roel Maes
9. Yoshua Bengio
10. Simon S. Haykin

Who trusts Yansong Gao overall

1. Eugene Bagdasarian
2. Dongxian Wu
3. Anh Gia-Tuan Nguyen
4. Ahmed Salem
5. Khoa D Doan
6. Di Tang
7. Yige Li
8. Vitaly Shmatikov
9. Yiming Li
10. Baoyuan Wu

Papers from Yansong Gao's perspective

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

Their papers

• End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things (2020) — 244 citations
• Physical unclonable functions (2020) — 388 citations
• STRIP: a defence against trojan attacks on deep neural networks (2019) — 1,077 citations