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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[1] 田光坡. MultiWaveNet: A long time series forecasting framework based on multi-scale analysis and multi-ch.... Expert Systems with Applications, 251, 2024.
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[2] 文德春. MWDINet: A multilevel wavelet decomposition interaction network for stock price prediction. Expert Systems with Applications, 238, 2024.
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[3] 杨震. MDF-DMC: A stock prediction model combining multi-view stock data features with dynamic market co.... Expert Systems with Applications, 238, 2024.
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[4] 冯文治. A representation learning framework for stock movement prediction. Applied Soft Computing, 144, 2023.
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[5] 雷曾裕. DR-GAT: Dynamic routing graph attention network for stock recommendation. Information Sciences, 654, 2024.
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[6] 刘化金. A stock rank prediction method combining industry attributes and price data of stocks. Information Processing & Management, 60, 2023.
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[7] 赵天龙. Asset correlation based deep reinforcement learning for the portfolio selection. Expert Systems with Applications, 221, 2023.
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[8] 宋国伟. Stock ranking prediction using a graph aggregation network based on stock price and stock relatio.... Information Sciences, 643, 2023.
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[9] 马翔. Dynamic graph construction via motif detection for stock prediction. Information Processing & Management, 60, 2023.
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[10] 袁晨迅. COVID19-MLSF: A multi-task learning-based stock market forecasting framework during the COVID-19 .... Expert Systems with Applications, 119549, 2023.
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[11] Chenxun Yuan. COVID19-MLSF: A multi-task learning-based stock market forecasting framework during the COVID-19 .... Expert Systems With Applications, 217, 2023.
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[12] 刘腾腾. A stock price prediction method based on meta-learning and variational mode decomposition. Knowledge-Based Systems, 2022.
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[13] 陈星潼. A hierarchical attention network for stock prediction based on attentive multi-view news learning. Neurocomputing, 2022.
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[14] 马翔. Fuzzy hypergraph network for recommending top-K profitable stocks. Information Sciences, 2022.
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[15] 许云扬. High quality superpixel generation through regional decomposition. IEEE Transactions on Circuits and Systems for Video Technology, 2022.
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[16] 时妙文. A competent image denoising method based on structural information extraction. The Visual Computer, 2022.
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[17] 齐月双. An efficient FCM-based method for image refinement segmentation. Visual Computer, 2021.
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[18] 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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[19] 马翔. Image smoothing based on global sparsity decomposition and a variable parameter. COMPUTATIONAL VISUAL MEDIA, 7, 483, 2021.
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[20] 徐红. A Medical Image Segmentation Method With Anti-Noise and Bias-Field Correction. IEEE Access , 8, 98548, 2020.