Kai Wang
Xi'an Jiaotong University
10 Papers
10 Citations
Kai Wang is an academic researcher from Xi'an Jiaotong University. The author has contributed to research in topics: Computer science & Control chart. The author has an hindex of 4, co-authored 9 publications. Previous affiliations of Kai Wang include Hong Kong University of Science and Technology.
Chat about Author
Papers
Hierarchical sparse functional principal component analysis for multistage multivariate profile data
Kai Wang,Fugee Tsung +1 more
- 22 Apr 2020
TL;DR: This article proposes integrating Multivariate Functional Principal Component Analysis with a three-level structured sparsity idea to develop a novel Hierarchical Sparse MFPCA (HSMFPCA), in which the stage-wise, profile-wise and element-wise sparsity are jointly investigated to clearly identify the informative stages and variables in each eigenvector.
23
Bayesian cross-product quality control via transfer learning
Kai Wang,Fugee Tsung +1 more
TL;DR: A novel Bayesian process monitoring scheme via transfer learning is proposed to facilitate a cross-product data sharing and validate the superiority of the proposed scheme in terms of both the false alarm rate and detection capability.
20
A Fast and Robust Nonparametric Monitoring Scheme for Free-Form Surface Scanning Data
Kai Wang,Fugee Tsung +1 more
TL;DR: A monitoring scheme which caters to arbitrary geometric features on a surface which can be integrated with the 3-D laser scanner as a new production module for automatic quality control and decision making is proposed.
8
Sparse and Structured Function-on-Function Quality Predictive Modeling by Hierarchical Variable Selection and Multitask Learning
Kai Wang,Fugee Tsung +1 more
TL;DR: A novel sparse and structured function-on-function regression (SSF$^2$R) model is proposed, where a hierarchical variable selection is developed to identify informative signals and further screen significant elements within the selected signals, and a multitask learning is devised to exploit the smoothness nature of surface response and the similarity structure among a series of subregression tasks.
6
Adaptive monitoring of multimodal data
Kai Wang,Jian Li,Fugee Tsung +2 more
TL;DR: A new adaptive monitoring method is proposed in this paper for multimodal data from heterogeneous processes, where a Gaussian mixture model is first employed for data modeling and a penalized likelihood function is devised to infer the true number of subpopulations.
6