Lin Chen

Artificial Intelligence · with Li · 2014

A researcher in the Science corpus: 1 paper; trusts 119 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #13,098 of 35,345 by trust here, #25,040 by citations
• Computer Vision and Pattern Recognition — 13 citations into it; #8,591 of 21,575 by trust here, #16,367 by citations
• Representation & Self-Supervised Learning — 13 citations into it

Whom Lin Chen trusts overall

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

1. Lixin Duan
2. Koby Crammer
3. Ivor Wai-Hung Tsang
4. Antonio Torralba
5. Boqing Gong
6. Vladimir Naumovich Vapnik
7. Geoffrey E. Hinton
8. Alex Krizhevsky
9. Dong Xu
10. Liefeng Bo

Who trusts Lin Chen overall

1. Saeid Motiian
2. Gianfranco Doretto
3. Judy Hoffman
4. Piotr Koniusz
5. Zheng Xu
6. Lu Jin
7. Wen Li
8. Marco Piccirilli
9. Saurabh Gupta
10. Yusuf Tas

Papers from Lin Chen's perspective

Ordered by how strongly the researchers Lin Chen 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. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Recognizing RGB Images by Learning from RGB-D Data (2014) — 72 citations