Changhua Hu
Safety, Risk, Reliability and Quality · 2011–2019
A researcher in the Science corpus: 5 papers; trusts 10 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Safety, Risk, Reliability and Quality — 56 citations into it; #482 of 1,220 by trust here, #78 by citations
- Statistics and Probability — 49 citations into it; #7,487 of 12,932 by trust here, #1,829 by citations
- Artificial Intelligence — 29 citations into it; #31,307 of 35,345 by trust here, #21,878 by citations
- Model Architectures — 19 citations into it
- Control and Systems Engineering — 18 citations into it
- Signal Processing — 9 citations into it; #6,731 of 7,572 by trust here, #4,051 by citations
- Accounting — 7 citations into it
- Mechanics of Materials — 6 citations into it
Whom Changhua Hu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nikhil M. Vichare
- Jan M. van Noortwijk
- Hongzhou Wang
- Michael G. Pecht
- Lawrence R. Rabiner
- Shunzheng Yu
- Hirotugu Akaike
- Xiao Wang
- O. Aalen
- J. Urgen Schmidhuber
Who trusts Changhua Hu overall
Papers from Changhua Hu's perspective
Ordered by how strongly the researchers Changhua Hu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Remaining useful life estimation - A review on the statistical data driven approaches (2011) — 2,054 citations
- A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures (2019) — 5,068 citations
- A new remaining useful life estimation method for equipment subjected to intervention of imperfect maintenance activities (2018) — 59 citations
- Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods (2018) — 609 citations
- Remaining Useful Life Estimation Based on a Nonlinear Diffusion Degradation Process (2012) — 295 citations