1 citations · 2 across the 4 of their papers we have counts for
4 papers
SETrLUSI: Stochastic Ensemble Multi-Source Transfer Learning Using Statistical Invariant
Chunna Li, Yiwei Song, Yuanhai Shao
In transfer learning, a source domain often carries diverse knowledge, and different domains usually emphasize different types of knowledge. Different from handling only a single t…
Twin support vector quantile regression
Yafen Ye, Zhihu Xu, Jinhua Zhang +2
We propose a twin support vector quantile regression (TSVQR) to capture the heterogeneous and asymmetric information in modern data. Using a quantile parameter, TSVQR effectively d…
CNTS: Cooperative Network for Time Series
Jinsheng Yang, Yuanhai Shao, ChunNa Li
The use of deep learning techniques in detecting anomalies in time series data has been an active area of research with a long history of development and a variety of approaches. I…
Multistage Large Segment Imputation Framework Based on Deep Learning and Statistic Metrics
JinSheng Yang, YuanHai Shao, ChunNa Li +1
Missing value is a very common and unavoidable problem in sensors, and researchers have made numerous attempts for missing value imputation, particularly in deep learning models. H…