Yishen Wang

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 Yishen Wang trusts overall

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

1. Kjetil Høyland
2. Alec Radford

Papers from Yishen Wang's perspective

Ordered by how strongly the researchers Yishen Wang 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. Generating Scenario Trees for Multistage Decision Problems (Management Sciences)
4. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. ImageNet classification with deep convolutional neural networks
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

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