Yong Qin
Control and Systems Engineering · with Wang · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 25 citations into it
- Mechanical Engineering — 10 citations into it
Whom Yong Qin trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
- L. V. D. van der Maaten (in Computer Vision and Pattern Recognition)
- Xavier Glorot (in Optimization & Training)
- Yoshua Bengio (in Optimization & Training)
- Zhiwei Gao (in Control and Systems Engineering)
- Xuewu Dai (in Control and Systems Engineering)
- Zhujun Zhang (in Control and Systems Engineering)
- Chuanhao Li (in Control and Systems Engineering)
- Gaoliang Peng (in Control and Systems Engineering)
- Yuanhang Chen (in Control and Systems Engineering)
Papers from Yong Qin's perspective
Ordered by how strongly the researchers Yong Qin trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Deep Learning
- Understanding the difficulty of training deep feedforward neural networks
- Visualizing Data using t-SNE
- ImageNet classification with deep convolutional neural networks
- Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis
- Gradient-based learning applied to document recognition
- A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method (IEEE transactions on industrial electronics (1982. Print))
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- A comparison study of improved Hilbert–Huang transform and wavelet transform: Application to fault diagnosis for rolling bearing