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2020 – today
- 2024
[j4]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): 4862-4875 (2024)- 2021
- [j3]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: 107711 (2021) - [j2]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): 2029-2044 (2021) - [c4]Negar Etemadyrad, Qingzhe Li, Liang Zhao:
Deep Graph Spectral Evolution Networks for Graph Topological Evolution. AAAI 2021: 7358-7366 - 2020
- [j1]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): 25:1-25:28 (2020)
2010 – 2019
- 2019
- [c3]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: 1192-1197 - 2017
- [c2]Qingzhe Li, Jessica Lin, Liang Zhao, Huzefa Rangwala:
A Uniform Representation for Trajectory Learning Tasks. SIGSPATIAL/GIS 2017: 80:1-80:4 - [c1]Yifeng Gao, Qingzhe Li, Xiaosheng Li, Jessica Lin, Huzefa Rangwala:
TrajViz: A Tool for Visualizing Patterns and Anomalies in Trajectory. ECML/PKDD (3) 2017: 428-431
Coauthor Index
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