Yuchen Fu

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Generative Models — 10 citations into it
• Signal Processing — 6 citations into it

Whom Yuchen Fu trusts overall

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

1. Diederik P. Kingma
2. Alex Graves
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Yoon Kim
6. Max Welling
7. Kyunghyun Cho
8. Ilya Sutskever
9. Olof Mogren
10. Alex Krizhevsky

Papers from Yuchen Fu's perspective

Ordered by how strongly the researchers Yuchen Fu 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Electrocardiogram generation with a bidirectional LSTM-CNN generative adversarial network (2019) — 350 citations