| Tapnet: Multivariate time series classification with attentional prototypical network X Zhang, Y Gao, J Lin, CT Lu Proceedings of the AAAI conference on artificial intelligence 34 (04), 6845-6852, 2020 | 314 | 2020 |
| A machine learning approach to false alarm detection for critical arrhythmia alarms X Wang, Y Gao, J Lin, H Rangwala, R Mittu 2015 IEEE 14th international conference on machine learning and applications …, 2015 | 34 | 2015 |
| HIME: discovering variable-length motifs in large-scale time series Y Gao, J Lin Knowledge and Information Systems 61, 513-542, 2019 | 33 | 2019 |
| Efficient discovery of time series motifs with large length range in million scale time series Y Gao, J Lin 2017 IEEE International Conference on Data Mining (ICDM), 1213-1222, 2017 | 31 | 2017 |
| Exploring variable-length time series motifs in one hundred million length scale Y Gao, J Lin Data Mining and Knowledge Discovery 32, 1200-1228, 2018 | 30 | 2018 |
| Iterative grammar-based framework for discovering variable-length time series motifs Y Gao, J Lin, H Rangwala IEEE International Conference on Machine Learning and Applications, 2016 | 30 | 2016 |
| Stealthminer: Specialized time series machine learning for run-time stealthy malware detection based on microarchitectural features H Sayadi, Y Gao, H Mohammadi Makrani, T Mohsenin, A Sasan, ... Proceedings of the 2020 on Great Lakes Symposium on VLSI, 175-180, 2020 | 28 | 2020 |
| Towards accurate run-time hardware-assisted stealthy malware detection: a lightweight, yet effective time series CNN-based approach H Sayadi, Y Gao, H Mohammadi Makrani, J Lin, PC Costa, S Rafatirad, ... Cryptography 5 (4), 28, 2021 | 26 | 2021 |
| Discovering subdimensional motifs of different lengths in large-scale multivariate time series Y Gao, J Lin 2019 IEEE international conference on data mining (ICDM), 220-229, 2019 | 20 | 2019 |
| Adaptive-hmd: Accurate and cost-efficient machine learning-driven malware detection using microarchitectural events Y Gao, HM Makrani, M Aliasgari, A Rezaei, J Lin, H Homayoun, H Sayadi 2021 IEEE 27th International Symposium on On-Line Testing and Robust System …, 2021 | 19 | 2021 |
| Efficient discovery of variable-length time series motifs with large length range in million scale time series Y Gao, J Lin arXiv preprint arXiv:1802.04883, 2018 | 17 | 2018 |
| Ensemble grammar induction for detecting anomalies in time series Y Gao, J Lin, C Brif arXiv preprint arXiv:2001.11102, 2020 | 13 | 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 |
| Differential privacy in privacy-preserving big data and learning: Challenge and opportunity H Jiang, Y Gao, SM Sarwar, L GarzaPerez, M Robin Silicon Valley Cybersecurity Conference, 33-44, 2021 | 11 | 2021 |
| A practical MGA-ARIMA model for forecasting real-time dynamic rain-induced attenuation S Gong, Y Gao, H Shi, G Zhao Radio science 48 (3), 208-225, 2013 | 9 | 2013 |
| Semantic discord: Finding unusual local patterns for time series L Zhang, Y Gao, J Lin Proceedings of the 2020 SIAM International Conference on Data Mining, 136-144, 2020 | 7 | 2020 |
| PMP: Privacy-aware matrix profile against sensitive pattern inference for time series L Zhang, J Ding, Y Gao, J Lin Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 4 | 2023 |
| Robust Time Series Chain Discovery with Incremental Nearest Neighbors L Zhang, Y Zhu, Y Gao, J Lin 2022 IEEE International Conference on Data Mining (ICDM), 1311-1316, 2022 | 4 | 2022 |
| 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 |
| 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 |
Jessica LinGeorge Mason UniversityVerified email at gmu.edu
