Qingzhe Li

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 8

Top Topics

Functional Connectivity

Multivariate Time Series

Pattern Discovery

Top Venues

Pattern Recognit.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Negar Etemadyrad, Yuyang Gao, Qingzhe Li, Xiaojie Guo, Frank Krueger, Qixiang Lin, Deqiang Qiu, Liang Zhao
Functional Connectivity Prediction With Deep Learning for Graph Transformation. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Negar Etemadyrad, Qingzhe Li, Liang Zhao
Deep Graph Spectral Evolution Networks for Graph Topological Evolution. AAAI (2021)
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 Trans. Knowl. Data Eng. 33 (5) (2021)
Qingzhe Li, Liang Zhao, Yi-Ching Lee, Avesta Sasan, Jessica Lin
CPM: A general feature dependency pattern mining framework for contrast multivariate time series. Pattern Recognit. 112 (2021)
Qingzhe Li, Liang Zhao, Yi-Ching Lee, Jessica Lin
Contrast Pattern Mining in Paired Multivariate Time Series of a Controlled Driving Behavior Experiment. ACM Trans. Spatial Algorithms Syst. 6 (4) (2020)
Qingzhe Li, Liang Zhao, Yi-Ching Lee, Yanfang Ye, Jessica Lin, Lingfei Wu
Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior. ICDM (2019)
Qingzhe Li, Jessica Lin, Liang Zhao, Huzefa Rangwala
A Uniform Representation for Trajectory Learning Tasks. SIGSPATIAL/GIS (2017)
Yifeng Gao, Qingzhe Li, Xiaosheng Li, Jessica Lin, Huzefa Rangwala
TrajViz: A Tool for Visualizing Patterns and Anomalies in Trajectory. ECML/PKDD (3) (2017)