Qingzhe Li's Home Page 

Qingzhe Li

Ph.D. candidate
Department of Information Science and Technology
George Mason University
Email: qli10 AT gmu DOT edu
[ About me ] [ News ] [ Research Interests ] [ Publications ] [ Research Projects ]

About me

I am a Ph.D. candidate in the department of Information Science and Technology at GMU. My advisor is Dr. Liang Zhao.

I am actively looking for a full-time software engineer position starting at June, 2020.


News

  • (NEW!) 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.
  • (NEW!) 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

  • Deep learning on graphs
  • Brain connectome data mining, analysis
  • Multivariate time series dependency pattern mining, analysis and learning
  • Large scale trajectory data representation, mining and learning
  • Sparse feature learning

  • Selected Publications

  • 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]
  • [code]
  • 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.
  • [paper]
  • [code]
  • 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.
  • [paper]
  • [slides]
  • 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) ,
  • [paper]
  • [code]

  • Selected Research Projects

  • "Deep learning on graph spectral translations." Apr, 2019 ~ Current
  • "Human Brain Connectivity Prediction." Feb, 2019 ~ Current
  • "Interpretable Temporal Mining for Contrastive Driving Behaviors." Multi-Interdisciplinary Sep, 2017-Oct, 2018, George Mason University.