Chuanhao Li

Control and Systems Engineering · with Zhang · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 22 citations into it; #2,794 of 8,257 by trust here, #1,252 by citations
• Artificial Intelligence — 19 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Model Architectures — 6 citations into it
• Optimization & Training — 6 citations into it

Whom Chuanhao Li trusts overall

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

1. Karen Simonyan
2. Sergey Ioffe
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Christian Szegedy
6. Diederik P. Kingma
7. Achmad Widodo
8. Andrew Zisserman
9. Yann LeCun
10. Feng Jia

Who trusts Chuanhao Li overall

1. Shen Zhang
2. Huan Wang
3. Xiang Li
4. Serkan Kiranyaz
5. Shibo Zhang
6. Te Han
7. Jinyang Jiao
8. Bingnan Wang
9. Zhiliang Liu

Papers from Chuanhao Li's perspective

Ordered by how strongly the researchers Chuanhao Li 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load (2018) — 1,261 citations
• A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals (2017) — 1,600 citations