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Qingzhe Li
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Cited by
Year
Contrast Pattern Mining in Paired Multivariate Time Series of a Controlled Driving Behavior Experiment
Q Li, L Zhao, YC Lee, J Lin
ACM Transactions on Spatial Algorithms and Systems (TSAS), 2020
182020
Trajviz: a tool for visualizing patterns and anomalies in trajectory
Y Gao, Q Li, X Li, J Lin, H Rangwala
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017
132017
CPM: A general feature dependency pattern mining framework for contrast multivariate time series
Q Li, L Zhao, YC Lee, A Sassan, J Lin
Pattern Recognition 112, 107711, 2021
92021
Large-scale cost-aware classification using feature computational dependency graph
Q Li, A Alipour-Fanid, M Slawski, Y Ye, L Wu, K Zeng, L Zhao
IEEE Transactions on Knowledge and Data Engineering 33 (5), 2029-2044, 2019
92019
Deep graph spectral evolution networks for graph topological evolution
N Etemadyrad, Q Li, L Zhao
Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 7358-7366, 2021
62021
Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior
Q Li, L Zhao, YC Lee, Y Ye, J Lin, L Wu
IEEE International Conference on Data Mining (ICDM), 1192-1197, 2019
52019
Advanced text and video analytics for proactive decision making
EK Bowman, M Turek, P Tunison, R Porter, S Thomas, V Gintautas, ...
Next-Generation Analyst V 10207, 181-200, 2017
52017
A uniform representation for trajectory learning tasks
Q Li, J Lin, L Zhao, H Rangwala
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances …, 2017
42017
Foundations for context-aware information retrieval for proactive decision support
R Mittu, J Lin, Q Li, Y Gao, H Rangwala, P Shargo, J Robinson, C Rose, ...
Next-Generation Analyst IV 9851, 67-83, 2016
22016
Functional Connectivity Prediction With Deep Learning for Graph Transformation
N Etemadyrad, Y Gao, Q Li, X Guo, F Krueger, Q Lin, D Qiu, L Zhao
IEEE Transactions on Neural Networks and Learning Systems (Early Access), 2022
2022
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