Boyuan Yang

Control and Systems Engineering · 2017–2020

A researcher in the Science corpus: 4 papers; trusts 28 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 45 citations into it; #3,413 of 8,257 by trust here, #1,333 by citations
• Mechanical Engineering — 26 citations into it; #5,089 of 8,300 by trust here, #4,521 by citations
• Artificial Intelligence — 24 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Mechanics of Materials — 15 citations into it
• Optimization & Training — 6 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Boyuan Yang trusts overall

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

1. Yann LeCun
2. Yoshua Bengio
3. Diederik P. Kingma
4. Yaguo Lei
5. L. Eon Bottou
6. Geoffrey E. Hinton
7. Fu-Chen Chen
8. Alex Krizhevsky
9. Jimmy Ba
10. Vladimir Naumovich Vapni

Who trusts Boyuan Yang overall

1. Jinyang Jiao
2. Shen Zhang
3. Ming Zhao
4. Long Wen
5. Jing Lin
6. Shibo Zhang

Papers from Boyuan Yang's perspective

Ordered by how strongly the researchers Boyuan Yang 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
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

• Multiscale Kernel Based Residual Convolutional Neural Network for Motor Fault Diagnosis Under Nonstationary Conditions (2020) — 358 citations
• Remaining Useful Life Prediction Based on a Double-Convolutional Neural Network Architecture (2019) — 341 citations
• Artificial intelligence for fault diagnosis of rotating machinery: A review (2018) — 1,920 citations
• Dislocated Time Series Convolutional Neural Architecture: An Intelligent Fault Diagnosis Approach for Electric Machine (2017) — 316 citations