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Zixiao Shen

PhD Student,

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Biography

Zixiao Shen has studied in Huazhong University of Science and Technology, Wuhan, P.R.China from 2008 to 2012. And he got the Bachelor's degree of Biomedical Engineering in June, 2012. After that he continued studying in Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, P.R. China. In 2015, he has achieved his master degree of Biomedical Engineering. Nowadays, he is pursuing PhD of Computer Science in the University of Nottingham, United Kingdom.

Research Summary

Zixiao Shen's main research interest focus on developing a novel feature selection framework with human knowledge interactions. This algorithm has multiple applications on reducing the dimensions… read more

Selected Publications

  • SHEN, ZIXIAO, CHEN, XIN and GARIBALDI, JONATHAN M., 2018. Performance Optimization of a Fuzzy Entropy based Feature Selection and Classification Framework 2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC). 1361-1367
  • SHEN, ZIXIAO, MIAO, FEN, MENG, QINGHAN and LI, YE, 2015. Cuffless and Continuous Blood Pressure Estimation based on Multiple Regression Analysis 2015 5TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST). 117-120
  • GONG, ZHENHUAN, SHEN, ZIXIAO, ZHANG, DI, WANG, CHENG and ZHOU, SHOUJUN, 2015. One-click detection of coronary artery ostia from three-dimensional CTA data 2015 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION. 877-880

Current Research

Zixiao Shen's main research interest focus on developing a novel feature selection framework with human knowledge interactions. This algorithm has multiple applications on reducing the dimensions with great uncertainty and guiding the feature selection process using human knowledge. His work also focuses on modeling the uncertainty and impreciseness which is frequently occurred in biomedical datasets and human knowledge.

Past Research

During Zixiao Shen's master period from 2012 to 2015, his research focuses on proposing a novel method to measure the blood pressure non-invasively and continuously. He utilized the methods of data analysis and data mining to explore the relationship between blood pressure and the features of Electrocardiogram (ECG) and Photoplethysmography (PPG). After that, the mathematic models were designed to predict the blood pressure continuously.

  • SHEN, ZIXIAO, CHEN, XIN and GARIBALDI, JONATHAN M., 2018. Performance Optimization of a Fuzzy Entropy based Feature Selection and Classification Framework 2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC). 1361-1367
  • SHEN, ZIXIAO, MIAO, FEN, MENG, QINGHAN and LI, YE, 2015. Cuffless and Continuous Blood Pressure Estimation based on Multiple Regression Analysis 2015 5TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST). 117-120
  • GONG, ZHENHUAN, SHEN, ZIXIAO, ZHANG, DI, WANG, CHENG and ZHOU, SHOUJUN, 2015. One-click detection of coronary artery ostia from three-dimensional CTA data 2015 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION. 877-880

School of Computer Science

University of Nottingham
Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB

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