5 Papers
13 Citations
Weiwei Zhou is an academic researcher from University of Electronic Science and Technology of China. The author has contributed to research in topics: Outlier & Norm (mathematics). The author has an hindex of 3, co-authored 5 publications.
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Papers
Lp (p ≤ 1) Norm Partial Directed Coherence for Directed Network Analysis of Scalp EEGs
TL;DR: Simulation and real-life EEG applications demonstrate the efficiency of the proposed PDC in suppressing the influence of outliers in EEG signals, and the proposed Lp-PDC may be helpful to capture reliable causal relationships for related studies contaminated with outlier artifacts.
17
Improved Graph Embedding for Robust Recognition with outliers
Peiyang Li,Weiwei Zhou,Xiaoye Huang,Xuyang Zhu,Huan Liu,Teng Ma,Daqing Guo,Dezhong Yao,Peng Xu +8 more
TL;DR: This work defined graph embedding in the L1 norm space and used the maximization strategy to solve this model with the aim of restricting the influence of outliers on the dimension reduction of signals.
Lp norm spectral regression for feature extraction in outlier conditions
Weiwei Zhou,Peiyang Li,Xurui Wang,Fali Li,Huan Liu,Rui Zhang,Teng Ma,Tiejun Liu,Daqing Guo,Dezhong Yao,Peng Xu +10 more
- 21 Jul 2015
TL;DR: A novel regression function for SR is constructed in the Lp (p ≤ 1) norm space with the aim at compressing the outlier effects on pattern recognition.
5
Robust brain causality network construction based on Bayesian multivariate autoregression
Peiyang Li,Peiyang Li,Xiaoye Huang,Xuyang Zhu,Cunbo Li,Huan Liu,Weiwei Zhou,Joyce Chelangat Bore,Tao Zhang,Yangsong Zhang,Yangsong Zhang,Dezhong Yao,Peng Xu +12 more
TL;DR: The proposed Bayesian-based Granger analysis can efficiently suppress outlier influence and shows stable performance when sample sizes become small and can capture the inherent hemispheric lateralization of motor imagery even with a small number of fMRI samples.
Robust Granger Analysis in Lp Norm Space for Directed EEG Network Analysis
Peiyang Li,Xiaoye Huang,Fali Li,Xurui Wang,Weiwei Zhou,Huan Liu,Teng Ma,Tao Zhang,Daqing Guo,Dezhong Yao,Peng Xu +10 more
- 05 Jun 2017
TL;DR: An extended GA is constructed by applying the Lp norm strategy to estimate robust causalities under outlier conditions, and a feasible iteration procedure is utilized to solve the new GA model.