Kaixuan Liang

Control and Systems Engineering · 2020

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 59 citations into it
• Mechanical Engineering — 37 citations into it
• Artificial Intelligence — 17 citations into it
• Mechanics of Materials — 15 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Model Architectures — 7 citations into it
• Optimization & Training — 5 citations into it

Whom Kaixuan Liang trusts overall

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

1. Xiang Li
2. Geoffrey E. Hinton
3. Duy-Tang Hoang
4. Qian Ding
5. Kaiming He
6. Andrew L. Maas
7. Yaguo Lei
8. Sergey Ioffe
9. Alex Krizhevsky
10. Vinod Nair

Papers from Kaixuan Liang's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. Gradient-based learning applied to document recognition
5. GENERATIVE ADVERSARIAL NETS
6. Dropout: a simple way to prevent neural networks from overfitting
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Rectified Linear Units Improve Restricted Boltzmann Machines
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• A comprehensive review on convolutional neural network in machine fault diagnosis (2020) — 514 citations