Li Xuemei
Professor
工学博士，山东大学软件学院教授，博/硕士生导师，前沿交叉研究中心副主任，山大-有人物联网新一代信息技术研究中心主任。目前主要研究领域为智能图形图像处理、智能计算、时间序列分析与信息可视化。在国内外有影响的杂志和学术会议上发表相关论文40余篇。主持国家自然科学基金项目3项，横向课题2项，并参与多项国家自然科学基金重点及面上项目。获教育部科技进步二等奖、省科技进步一、二等奖各1项，全国大学生软件创新大赛一等奖和最具创业潜力奖。中国工业与应用数学学会CD&C... More+
Paper Publications
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[21] 陈星潼. A hierarchical attention network for stock prediction based on attentive multi-view news learning. Neurocomputing, 2022.
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[22] 马翔. Fuzzy hypergraph network for recommending top-K profitable stocks. Information Sciences, 2022.
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[23] 许云扬. High quality superpixel generation through regional decomposition. IEEE Transactions on Circuits and Systems for Video Technology, 2022.
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[24] 时妙文. A competent image denoising method based on structural information extraction. The Visual Computer, 2022.
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[25] 齐月双. An efficient FCM-based method for image refinement segmentation. Visual Computer, 2021.
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[26] 时妙文. Detail preserving image denoising with patch-based structure similarity via sparse representation.... COMPUTER VISION AND IMAGE UNDERSTANDING, 206, 2021.
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[27] 马翔. Image smoothing based on global sparsity decomposition and a variable parameter. COMPUTATIONAL VISUAL MEDIA, 7, 483, 2021.
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[28] 徐红. A Medical Image Segmentation Method With Anti-Noise and Bias-Field Correction. IEEE Access , 8, 98548, 2020.
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[29] 周丹雅. Single-image super-resolution based on local biquadratic spline with edge constraints and adaptiv.... Visual Computer, 2020.
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[30] 夏菁. A New Hybrid Brain MR Image Segmentation Algorithm With Super-Resolution, Spatial Constraint-Base.... IEEE Access , 8, 135897, 2020.
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[31] 范琳伟. Adaptive Texture-Preserving Denoising Method Using Gradient Histogram and Nonlocal Self-Similarit.... IEEE Trans. Circuits Syst. Video Techn. , 29, 3222, 2019.
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[32] 刘业朋. Adaptive iterative global image denoising method based on SVD. IET Image Processing, 2020.
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[33] 刘业朋. Image enlargement method based on cubic surfaces with local features as constraints. SIGNAL PROCESSING Journal, 166, 2020.
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[34] Yepeng Liu , Xiang Ma , Xuemei Li and Caiming Zhang. Two-stage Image Smoothing Based on Edge-patch Histogram Equalization and Patch Decomposition. IET Image Processing, 14, 1132, 2020.
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[35] Hong Xu , Caizeng Ye , Fan Zhang and Xuemei Li. A Medical Image Segmentation Method with Anti-noise and Bias-field Correction. IEEE Access, 8, 98548, 2020.
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[36] Xin Qian , Xuemei Li and Caiming Zhang. Weighted Superpixel Segmentation. The Visual Computer, 35, 985, 2019.
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[37] Yue Liu , Xuemei Li , Pengbo Bo and Xifeng Gao. Sketch simplification guided by complex agglomeration. SCIENCE CHINA-Information Sciences, 62, 2019.
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[38] Xuemei Li , Fan Zhang , Guoning Chen and Caiming Zhang. Formula for computing knots with minimum stress and stretching energies. SCIENCE CHINA-Information Sciences, 61, 1, 2017.
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[39] 张新 , 张帆 , Li Xuemei and zhangcaiming. 特征约束的多实例图像超分辨率. 计算机辅助几何设计学报, 28, 580, 2016.
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[40] Deng Wenqian , Li Xuemei , Gao Xifeng and Zhang Caiming. A modified fuzzy c-means algorithm for brain MR image segmentation and bias field correction. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 31, 501, 2016.