Yize Chen

IEEE Transactions on Power Systems · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Yize Chen trusts overall

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

1. Kjetil Høyland
2. Alec Radford
3. Stein W. Wallace
4. Luke Metz
5. Martín Abadi

Papers from Yize Chen's perspective

Ordered by how strongly the researchers Yize Chen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
2. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Model-Free Renewable Scenario Generation Using Generative Adversarial Networks (2017) — 592 citations