研究方向：长期致力于模式识别与机器学习的算法研究与应用。

 科研项目

 
（1）深圳市科技研发资金[KJYY20170724100440556]:大数据下基于深度学习的乳腺癌辅助诊断应用示范.合作主持人。2018.03.19-2020.03.31.
（2）主持深圳市基础研究计划[JCYJ20160422113119640]:机器学习在视障患者听觉功能磁共振成像分析中的应用研究. 2016.06-2018.06.
（3）主持深圳市基础研究计划项目[JC201005280482A]：非负矩阵分解的几个关键问题研究及应用，2011.03-2013.02.
（4）主持国家青年科学基金项目[60903113]：融合GeneRank与机器学习方法实现小鼠生精过程基因筛选和功能预测.2010.1-2012.12.

 代表性论文

（1）Junchuan Peng, Changyu Bao, Chuting Hu, Xianming Wang*, Wenjing Jian, Weixiang Liu*. “Automated mammographic mass detection using deformable convolution and multiscale features”. Medical & Biological Engineering & Computing, 2020. https://doi.org/10.1007/s11517-020-02170-4.
（2）Jiangfeng Ding#, Weixiang Liu#, Alireza Sadr, Yonghong He, and Yifan Li. “Detection of Simulated Periradicular Lesions in Porcine Bone by Optical Coherence Tomography”.        Journal of  Endodontics. Vol. 45, No. 8, pp. 1024-1029, 2019. 
（3）Zhenfeng Wu#, Weixiang Liu#, Xiufeng Jin, Haishuo Ji, Hua Wang, Gustavo Glusman, Max Robinson, Lin Liu, Jishou Ruan* and Shan Gao* . “NormExpression: an R package to normalize gene expression data using evaluated methods”. Frontiers in Genetics. Vol. 10. Pages:400-407. doi: 10.3389/fgene.2019.00400. Received: 24 Dec 2018; Accepted: 12 Apr 2019. Published: 30 April 2019. https://www.frontiersin.org/articles/10.3389/fgene.2019.00400 
（4）Jianing Zhang#, Weixiang Liu#, Jing Zhang, Qiong Wu, Yidian Gao, Yali Jiang, Junling Gao, Shuqiao Yao, Bingsheng Huang. “Distinguishing adolescents with conduct disorder from typically developing youngsters based on pattern classification of brain structural MRI”, Frontiers in Human Neuroscience，2018, vol. 12, pages: 152- . 23 April 2018. https://doi.org/10.3389/fnhum.2018.00152.
（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).