Xingyu Zhao

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it

Whom Xingyu Zhao trusts overall

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

1. Xiaowei Huang
2. Wenjie Ruan
3. Alessio R. Lomuscio
4. Rick Salay
5. Matthew Wicker
6. Weiming Xiang
7. Marta Z. Kwiatkowska
8. Guy Katz
9. Youcheng Sun
10. Timon Gehr

Papers from Xingyu Zhao's perspective

Ordered by how strongly the researchers Xingyu Zhao 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. ImageNet Large Scale Visual Recognition Challenge
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Intriguing properties of neural networks
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Machine learning methods for wind turbine condition monitoring: A review (2019) — 704 citations
• A Safety Framework for Critical Systems Utilising Deep Neural Networks (2020) — 52 citations