Qingzhe Li

According to our database, Qingzhe Li authored at least 8 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Functional Connectivity Prediction With Deep Learning for Graph Transformation.

Negar Etemadyrad, Yuyang Gao, Qingzhe Li, Xiaojie Guo, Frank Krueger, Qixiang Lin, Deqiang Qiu, Liang Zhao

IEEE Trans. Neural Networks Learn. Syst., April, 2024

2021

Large-scale Cost-Aware Classification Using Feature Computational Dependency Graph.

Qingzhe Li, Amir Alipour-Fanid, Martin Slawski, Yanfang Ye, Lingfei Wu, Kai Zeng, Liang Zhao

IEEE Trans. Knowl. Data Eng., 2021

CPM: A general feature dependency pattern mining framework for contrast multivariate time series.

Qingzhe Li, Liang Zhao, Yi-Ching Lee, Avesta Sasan, Jessica Lin

Pattern Recognit., 2021

Deep Graph Spectral Evolution Networks for Graph Topological Evolution.

Negar Etemadyrad, Qingzhe Li, Liang Zhao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Contrast Pattern Mining in Paired Multivariate Time Series of a Controlled Driving Behavior Experiment.

Qingzhe Li, Liang Zhao, Yi-Ching Lee, Jessica Lin

ACM Trans. Spatial Algorithms Syst., 2020

2019

Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior.

Qingzhe Li, Liang Zhao, Yi-Ching Lee, Yanfang Ye, Jessica Lin, Lingfei Wu

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2017

TrajViz: A Tool for Visualizing Patterns and Anomalies in Trajectory.

Yifeng Gao, Qingzhe Li, Xiaosheng Li, Jessica Lin, Huzefa Rangwala

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

A Uniform Representation for Trajectory Learning Tasks.

Qingzhe Li, Jessica Lin, Liang Zhao, Huzefa Rangwala

Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017