1. Exploiting Data Uncertainty for Improving the Performance of a Quantitative Analysis Model for Laser-Induced Breakdown Spectroscopy. Issue 9 (September 2022) Authors: Qin, Huaiqing; Yu, Ziyu; Lu, Zhimin; Yu, Zhuliang; Yao, Shunchun Journal: Applied spectroscopy Issue: Volume 76:Issue 9(2022) Page Start: 1123 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Noisy Sparse Recovery Based on Parameterized Quadratic Programming by Thresholding. (22nd February 2011) Authors: Zhang, Jun; Li, Yuanqing; Yu, Zhuliang; Gu, Zhenghui Other Names: Kellermann Walter Academic Editor. Journal: EURASIP journal on advances in signal processing Issue: Volume 2011(2011) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Semi-supervised Deep Learning in Motor Imagery-Based Brain-Computer Interfaces with Stacked Variational Autoencoder. (September 2020) Authors: Chen, Junjian; Yu, Zhuliang; Gu, Zhenghui Journal: Journal of physics Issue: Volume 1631(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Using machine learning to predict one-year cardiovascular events in patients with severe dilated cardiomyopathy. Issue 117 (August 2019) Authors: Chen, Rui; Lu, Aijia; Wang, Jingjing; Ma, Xiaohai; Zhao, Lei; Wu, Wanjia; Du, Zhicheng; Fei, Hongwen; Lin, Qiongwen; Yu, Zhuliang; Liu, Hui Journal: European journal of radiology Issue: Issue 117(2019) Page Start: 178 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗