| 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 | 22 | 2020 |
| 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 | 13 | 2017 |
| 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 | 10 | 2021 |
| 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 | 9 | 2019 |
| 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 | 6 | 2021 |
| 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 | 5 | 2019 |
| 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 | 4 | 2017 |
| 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 | 4 | 2017 |
| 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 | 3 | 2022 |
| 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 | 2 | 2016 |
| Targeted generation of messages for digital therapeutics using generative transformer models QL William Morse US Patent US12,057,238, 2024 | | 2024 |
Liang ZhaoEmory UniversityVerified email at emory.edu
Liang ZhaoEmory UniversityVerified email at emory.edu