NAME: LIU, Weixiang

POSITION TITLE: Associate Professor of Machine Learning; School of Biomedical Engineering, Shenzhen University

EDUCATION/TRAINING

A.   Personal Statement

My long-standing research interests lie in machine learning and its applications in medical informatics, especially in medical image analysis and bioinformatics . Many clinical problems require statistical tools, matrix/tensor analysis, and numerical optimization for understanding. My research aims to understand such clinical problems from these points of view. Research in my lab has been supported by the National Natural Science Foundation in China, the Natural Science Foundation in Shenzhen, and via collaboration with clinical Doctors. I have >40 papers and I am currently mentoring 5 M.Sc. candidates.

B.   Positions and Honors

Positions and Employment

0 9 / 2008 – present         Associate Professor, School of Biomedical Engineering , Shenzhen University, Shenzhen, China

C.   Contributions to Science an d Technology (*: corresponding/co-corresponding author)

Algorithms and Optimization methods for machine learning: [2,9,11,13]

Medical image/signal analysis: [1,3,4,5,12]

Biomedical imaging: [6,8,10]

Brain network analysis: [7]

Gene selection in bioinformatics: [14]

Selected publications:

[1]      Xiaogang Li, Tiantian Pang, Ping Liang, Ruiduan Liao, Juanjuan Feng, Weixiang Liu*, Tianfu Wang. “A comparison of machine learning algorithms for diabetic retinopathy classification using CNN features”. Submitted.

[2]      Songfeng Zheng*, Weixiang Liu. “A Newton Algorithm for Support Vector Machine and Support Vector Data Description”, Accepted to Pattern Recognition Letters.

[3]      Xiaogang Li,Tiantian Pang,Biao Xiong,Weixiang Liu*,Ping Liang,Tianfu Wang. “Convolutional Neural Networks Based Transfer Learning for Diabetic Retinopathy Fundus Image Classification”. 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics,14-16 Oct., 2017, Shanghai China. 

[4]      Xiaogang Li,Tiantian Pang,Weixiang Liu*,Tianfu Wang. “Fall Detection for Elderly Person Care Using Convolutional Neural Networks”. 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics,2017. 14-16 Oct., 2017, Shanghai China.

[5]      Tiantian Pang, Leidan Huang, Yingyuan Deng, Tianfu Wang, Siping Chen, Xuehao Gong*, and Weixiang Liu*. “Logistic regression analysis of conventional ultrasonography, strain elastosonography, and contrast-enhanced ultrasound characteristics for the differentiation of benign and malignant thyroid nodules”, Plos One, 2017, 12(12). 

[6]      Xianfen Diao, Jing Zhu, Xiaonian He, Xin Chen, Xinyu Zhang, Siping Chen and Weixiang Liu*. “An ultrasound transient elastography system with coded excitation”. Biomedical Engineering Online. 2017 Jun 28;16(1):87. doi: 10.1186/s12938-017-0375-2. 

[7]      Yali Jiang, Weixiang Liu, Qingsen Ming, Yidian Gao, Ren Ma, Xiaocui Zhang, Weijun Situ, Xiang Wang, Shuqiao Yao & Bingsheng Huang*. "Disrupted Topological Patterns of Large-Scale Network in Conduct Disorder". Scientific Reports, 6:37053-37062,2016.   

[8]      Xiaonian He, Weixiang Liu, Siping Chen, Zhengdi Qin*. “A new approach to compensate the geometric distortion in the synthetic aperture ultrasonic imaging system”. Bio-Medical Materials and Engineering, 2015, 26(s1): S1623-S1632. (SCI)

[9]      Weixiang Liu*, Tianfu Wang, and Siping Chen, “Regularized Nonnegative Matrix Factorization for Clustering Gene Expression Data”, in: The IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2013), Shanghai, China, Dec 18-21, 2013.

[10]  Xiaonian He, Weixiang Liu, Siping Chen, Zhengdi Qin*, “Application on space-time coding technology in ultrasonic back-propagation method”, in: The IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2013), Shanghai, China, Dec 18-21, 2013.

[11]  Zhihua Du*, Y. Y. Zhu, and Weixiang Liu, “Combining quantum-behaved PSO and K2 algorithm for enhance gene network construction”, Current Bioinformatics, 8(1):133-137, 2013.  

[12]  Weixiang Liu*, Tianfu Wang, Siping Chen, Lauence Luo, Xiaoyi Wang:“Complex Frequency Features for TCD Signal Analysis”，in: World Congress on Medical Physics and Biomedical Engineering, IFMBE proceedings, vol. 39, pp. 546-549, 2013.

[13]  Songfeng Zheng*, Weixiang Liu, “Functional gradient ascent for Probit regression”, Pattern Recognition 45(12): 4428-4437, (2012).  

[14]  Songfeng Zheng*, Weixiang Liu: “An experimental comparison of gene selection by Lasso and Dantzig selector for cancer classification”, Computers in Biology and Medicine, 41(11): 1033-1040, 2011.

D.   Research Support

Ongoing Research Support

Shenzhen Basic Research Funding (JCYJ20160422113119640)                06/01/2016 to 05/30/2018

Weixiang Liu, PI                                                                                                           ￥300,000

Machine learning methods for fMRI data analysis of visually impaired people

Crossing research project                                                                                      11/01/2017 to 10/31/2018

Weixiang Liu, PI                                                                                                    ￥93,000

CAD system for Breast cancer screening

Completed Research Support

NSF (China) Funding (60903113)                                                                       00/01/2010 to 12/31/2012

Weixiang Liu, PI                                                                                                            ￥180,000

Combing GeneRank and machine learning for gene selection and function prediction in mouse spermatogenesis

Shenzhen basic research project (JC201005280482A)                               03/01/2011 to 02/28/2013

Weixiang Liu, PI                                                                                                            ￥100,000

Some issues of nonnegative matrix factorization and applications