Xiaosheng Li


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 Time Series Data Mining including motif discovery, symbolic representation, classification, clustering.



Resource

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


Publication

Xiaosheng Li and Jessica Lin. Evolving Separating References for Time Series Classification. In 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]