Qingzhe Li, Amir Alipour-Fanid, Martin Slawski,Yanfang Ye, Lingfei Wu, Kai Zeng, Liang Zhao " Large-scale Cost-aware Classification Using Feature Computational Dependency Graph", IEEE Transactions on Knowledge and Data Engineering (TKDE), (impact factor: 3.857), to appear, 2019. | [paper]
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Qingzhe Li, Liang Zhao, Yi-Ching Lee, Yanfang Ye, Jessica Lin, and Lingfei Wu. " Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior", 19th IEEE International Conference on Data Mining (ICDM 2019), Beijing, China, Nov 2019. To appear. |
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Qingzhe Li, Jessica Lin, Liang Zhao and Huzefa Rangwala. " Uniform Representation for Trajectory Learning Tasks", 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2017) , DOI=10.1145/3139958.3140017, Redondo Beach, CA, USA, Nov 2017. |
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Yifeng Gao, Qingzhe Li, Xiaosheng Li, Jessica Lin and Huzefa Rangwala. " TrajViz: A Tool for Visualizing Patterns and Anomalies in Trajectory", Joint European Conference on Machine Learning and Knowledge Discovery in Databases
ECML PKDD 2017: Machine Learning and Knowledge Discovery in Databases) , |
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