Guangyuan Piao

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it; #22,391 of 35,345 by trust here, #33,294 by citations

Whom Guangyuan Piao trusts overall

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

1. Diederik P. Kingma
2. Yoon Kim
3. Geoffrey E. Hinton
4. Yann LeCun
5. Sepp Hochreiter
6. Alex Krizhevsky
7. Nal Kalchbrenner
8. Ilya Sutskever
9. Yoshua Bengio
10. Jimmy Ba

Who trusts Guangyuan Piao overall

1. A. Ozbayoglu
2. Dogu Araci
3. M. Ugur Gudelek
4. Omer Berat Sezer

Papers from Guangyuan Piao's perspective

Ordered by how strongly the researchers Guangyuan Piao 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
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. Learning Multiple Layers of Features from Tiny Images
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Financial Aspect and Sentiment Predictions with Deep Neural Networks: An Ensemble Approach (2018) — 26 citations