Ruey-Cheng Chen

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Information Systems — 9 citations into it

Whom Ruey-Cheng Chen trusts overall

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

1. Jerome H. Friedman
2. C. Burges
3. Tie-Yan Liu
4. Olivier Chapelle
5. James Bergstra
6. Chengxiang Zhai
7. Lidan Wang
8. Yoshua Bengio
9. Ananth Mohan
10. Niek Tax

Papers from Ruey-Cheng Chen's perspective

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

Their papers

• Efficient Cost-Aware Cascade Ranking in Multi-Stage Retrieval (2017) — 87 citations