导师姓名：刘书君
性别：
人气指数：199

所属院校：重庆大学
所属院系：通信工程学院
职称：
导师类型：
招生专业：信号与信息处理
研究领域： 信号与信息处理
研究领域： 信号与信息处理 [收起]




通讯方式 :
电子邮件：liusj@cqu.edu.cn


个人简述 :
重庆大学信号与信息处理实验室学者，本科毕业于西安电子科技大学，并保送至北京航空航天大学硕博连读并获得博士学位。从事计算机视觉和信号处理方面的研究。目前，与澳大利亚、新加坡、香港等地的高校保持良好的交流与合作。近年来主要从事机器学习、图像处理、信号检测与估计、稀疏理论与应用、遥感信息与医学信息处理等研究工作。主持参与了国家级、省部级项目二十余项，发表学术论文40余篇。近年内，以第一作者或通信作者在二区与三区SCI期刊发表近20余篇论文。以第一发明人获权发明专利6项，申请发明专利30余项。

科研工作 :
部分学术论文——[1] Shujun Liu*, Jianxin Cao, et al. “MRI reconstruction via enhanced group sparsity and nonconvex regularization,” Neurocomputing, Jan, vol. vol. 272, no. 1, pp 108-121, 2018. (2区SCI)[2] TingYang, Shujun Liu*, HongqingLiu, et al. “Noise benefits parameter estimation in LMMSE sense,” Digital signal processing, Jan, vol. 73, no. 1, pp 153-163, 2018. (3区SCI)[3] Shujun Liu*, Jianxin Cao, et al. “CS-MRI reconstruction via group based eigenvalue decomposition and estimation,” Neurocomputing, Jan, 2018 (available on line，2区SCI)[4] Shujun Liu*, Guoqing Wu, et al. “SAR despeckling via classification-based nonlocal and local sparse representation,” Neurocomputing, Jan, vol. 219, no. 1, pp 174-185, 2017. (2区SCI)[5] Shujun Liu*, Jianxin Cao, et al. “MRI reconstruction using a joint constraint in patch based total variational frame work, " Journal of Visual Communication & Image Representation, July, vol. 46, no. 7, pp 150-164, 2017. (3区SCI)[6] Shujun Liu*, Guoqing Wu, et al. “Image restoration approach using a joint sparse represent-ation in 3D-transform domain,” Digital signal processing, Jan, vol. 60, no. 1, pp 307-323, 2017. (3区SCI) [7] Shujun Liu, Ting Yang, et al. “Noise enhancement for weighted sum of type I and II probabilities with constraints,” Entropy, June, vol. 19, no. 6, pp 1-22, 2017. (3区SCI) [8] Shujun Liu, Ting Yang, et al. “Optimal detection under the restricted Bayesian criterion,” Entropy, June, vol. 19, no. 7, pp 1-18, 2017. (3区SCI) [9] Shujun Liu*, Ting Yang, et al. Optimal noise benefit in composite hypothesis testing under different criteria. Entropy, July, vol. 18, no. 8, pp 1-18, 2016. (3区SCI) [10] Ting Yang, Shujun Liu*, et al. Optimal Noise Enhanced Signal Detection in a Unified Framework, Entropy, August, vol. 18, no. 8, pp 1-21, 2016. (3区SCI) [11] Shujun Liu*, Ting Yang, et al. Suitable or optimal noise benefits in signal detection. Chaos Solitons & Fractals, vol. 85, no. 1, pp 84-97, 2016. (3区SCI) [12] Shujun Liu*, Ting Yang, et al. Noise enhanced binary hypothesis-testing in a new framework. Digital Signal Processing, June, vol. 41, no.6, pp 22-31, 2015. (3区SCI) [13] Shujun Liu*, Ting Yang, et al. Effects of stochastic resonance for linear-quadratic detector. Chaos Solitons & Fractals, vol. 77 : 319-331, 2015. (4区SCI)