Yu-min Chen

Artificial Intelligence · 2011–2021

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Generative Models — 13 citations into it

Whom Yu-min Chen trusts overall

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

1. Yoshua Bengio

Papers from Yu-min Chen's perspective

Ordered by how strongly the researchers Yu-min Chen 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
7. Improved Techniques for Training GANs
8. Learning Deep Architectures for AI
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Application of deep learning algorithms in geotechnical engineering: a short critical review (2021) — 472 citations
• Influence of Particle Breakage on Critical State Line of Rockfill Material (2016) — 190 citations
• Wave Propagation in a Pipe Pile for Low-Strain Integrity Testing (2011) — 92 citations