Jun Yang
Statistics and Probability · with Liu · 2014
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 7 citations into it
- Safety, Risk, Reliability and Quality — 6 citations into it
Whom Jun Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Jun Yang's perspective
Ordered by how strongly the researchers Jun Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- Wiener processes with random effects for degradation data (Journal of Multivariate Analysis)
- A survey of the application of gamma processes in maintenance (Reliability Engineering & System Safety)
- Bivariate degradation analysis of products based on Wiener processes and copulas
- An Inverse Gaussian Process Model for Degradation Data (Technometrics)
- An Introduction to Copulas
- The Inverse Gaussian Process as a Degradation Model (Technometrics)
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Representation Learning with Contrastive Predictive Coding
- Rectified Linear Units Improve Restricted Boltzmann Machines