李俞呈,男,讲师。毕业于东北大学计算机科学与工程学院计算机软件与理论专业,获工学博士学位。主要研究方向:时间序列数据挖掘。发表学术论文3篇(SCI论文2篇,EI会议1篇)。
代表论文:
[1] Yucheng Li, Derong Shen. Constructing Knowledge Representation Vectorsby Symbolic Fourier Approximation and Dynamic Time Warping to Improve Time Series Classification. BigCom. 2021. (EI 检索)
[2] Yucheng Li, Derong Shen. A new symbolic representation method for time series. Information Sciences. 2022. (CCF B 类, 中科院SCI一区)
[3] Yucheng Li, Derong Shen, et al. A new shape-based clustering algorithm for time series. Information Sciences. 2022. (CCF B 类, 中科院SCI一区)
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