Xiaofeng Yuan

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 16 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #24,368 of 35,345 by trust here, #25,809 by citations
• Model Architectures — 15 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Natural Language Processing — 5 citations into it

Whom Xiaofeng Yuan trusts overall

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

1. Diederik P. Kingma
2. Alex Graves
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Sepp Hochreiter
6. Ilya Sutskever
7. Jimmy Ba
8. J. Urgen Schmidhuber
9. Nitish Srivastava
10. Dzmitry Bahdanau

Who trusts Xiaofeng Yuan overall

1. Qingqiang Sun
2. Zhiqiang Ge

Papers from Xiaofeng Yuan's perspective

Ordered by how strongly the researchers Xiaofeng Yuan 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. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
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. Going deeper with convolutions

Their papers

• Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network (2020) — 450 citations
• Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development (2020) — 393 citations
• A novel deep learning based fault diagnosis approach for chemical process with extended deep belief network. (2019) — 363 citations
• Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE (2018) — 540 citations