Zhibin Zhao

Artificial Intelligence · 2019–2024

A researcher in the Science corpus: 5 papers; trusts 80 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 65 citations into it
• Control and Systems Engineering — 43 citations into it
• Computer Vision and Pattern Recognition — 41 citations into it
• Mechanical Engineering — 26 citations into it
• Representation & Self-Supervised Learning — 17 citations into it
• Model Architectures — 13 citations into it
• Optimization & Training — 6 citations into it

Whom Zhibin Zhao trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Yann LeCun
5. Kaiming He
6. Mingsheng Long
7. Ilya Sutskever
8. Diederik P. Kingma
9. Karen Simonyan
10. J. Urgen Schmidhuber

Papers from Zhibin Zhao's perspective

Ordered by how strongly the researchers Zhibin Zhao 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. Gradient-based learning applied to document recognition
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis (2024) — 713 citations
• Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study (2020) — 588 citations
• Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing (2019) — 434 citations
• Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study (2019) — 505 citations
• WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis (2019) — 515 citations