Ying Sun

Artificial Intelligence · with Harrou · 2020

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Natural Language Processing — 7 citations into it
• Model Architectures — 6 citations into it

Whom Ying Sun trusts overall

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

1. Jerome H. Friedman
2. Leo Breiman
3. Resul Das
4. Alex Graves

Papers from Ying Sun's perspective

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

1. Long Short-Term Memory
2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
3. Stochastic Backpropagation and Approximate Inference in Deep Generative Models
4. A unified architecture for natural language processing: deep neural networks with multitask learning
5. Random Forests
6. ImageNet classification with deep convolutional neural networks
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. I and J
9. Bidirectional recurrent neural networks
10. Gradient-based learning applied to document recognition

Their papers

• Early Detection of Parkinson’s Disease Using Deep Learning and Machine Learning (2020) — 298 citations
• Deep learning methods for forecasting COVID-19 time-Series data: A Comparative study (2020) — 457 citations