Qingzhe Li

Ph.D. in Information Technology
Software engineer at Click Therapeutics

Email: liqingzhe86@gmail.com
[ About me ] [ News ] [ Research Interests ] [ Publications ] [ Research Projects ]

About me

I received my Ph.D. in Information Technology at George Mason University, advised by Dr. Liang Zhao. My Ph.D. research focused on time series data mining, scalable machine learning, and deep learning.

News

  • New! 06/2020: I passed my Ph.D. final Defense. Officially Dr. Li!
  • 05/2020: Our paper "Contrast Pattern Mining in Paired Multivariate Time Series of Controlled Driving Behavior Experiment" is accepted by ACM Transactions on Spatial Algorithms and Systems (TSAS), the paper will be available soon.
  • 10/02/2019: Our paper "Large-scale Cost-aware Classification Using Feature Computational Dependency Graph" is accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE), (impact factor: 3.857), the paper and code will be available soon.
  • 08/08/2019: Our paper "Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior" is accepted by ICDM 2019, the paper and code will be available soon.
  • 06/17/2019: Submitted one paper to ICDM 2019.
  • 05/28/2019: Advanced to Ph.D. candidate.
  • 11/29/2018: Submitted one paper to TSAS.
  • 11/18/2018: Submitted one paper to TKDE.

    • Research Interests

  • Machine Learning
  • Time Series Data Mining
  • Spatio-temporal Data Mining
  • Deep learning
  • Sparse feature learning

    • Selected Publications

  • Qingzhe Li, Liang Zhao, Jessica Lin and Yi-ching Lee. Contrast Pattern Mining in Paired Multivariate Time Series of Controlled Driving Behavior Experiment. ACM Transactions on Spatial Algorithms and Systems (TSAS), to appear, 2020.
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  • 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.
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  • [preprint]
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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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