Xiaosheng Li

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Welcome Currently I am a Ph.D. student at the Department of Computer Science at George Mason University, advised by Prof. Jessica Lin. My research focuses on the areas of Data Mining and Machine Learning. Specifically I am interested in Time Series Data Mining including motif discovery, symbolic representation, classification, and clustering.

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Resource

TrajViz is a software for visualize motifs (frequently repeated subsequences) in spatial trajectories with GUI interfaces. Github Webpage

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Publication

Xiaosheng Li and Jessica Lin. Linear Time Motif Discovery in Time Series. In 2019 Proceedings of the SIAM International Conference on Data Mining (SDM 2019), pp. 136-144. [pdf] [support webpage]


Xiaosheng Li and Jessica Lin. Evolving Separating References for Time Series Classification. In 2018 Proceedings of the SIAM International Conference on Data Mining (SDM 2018), pp. 243-251. [pdf] [support webpage]


Xiaosheng Li and Jessica Lin. Linear Time Complexity Time Series Classification with Bag-of-Pattern-Features. In 2017 IEEE International Conference on Data Mining (ICDM 2017), pp. 277-286. [pdf] [support webpage]


Yifeng Gao, Qingzhe Li, Xiaosheng Li, Jessica Lin, Huzefa Rangwala, Ranjeev Mittu. TrajViz: A Tool for Visualizing Patterns and Anomalies in Trajectory. In 2017 European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), pp. 428-431. [pdf] [Github]


Xiaosheng Li and Guoshan Zhang. Minimum Penalty for Constrained Evolutionary Optimization. Computational Optimization and Applications, 2015(60.2): 513-544. [pdf]


Xiaosheng Li and Guoshan Zhang. Biased Multiobjective Optimization for Constrained Single-Objective Evolutionary Optimization. In IEEE 11th World Congress on Intelligent Control and Automation (WCICA 2014), pp. 891-896. [pdf]