| Distributed local outlier detection in big data Y Yan, L Cao, C Kulhman, E Rundensteiner Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 57 | 2017 |
| Scalable top-n local outlier detection Y Yan, L Cao, EA Rundensteiner Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 40 | 2017 |
| Multi-tactic distance-based outlier detection L Cao, Y Yan, C Kuhlman, Q Wang, EA Rundensteiner, M Eltabakh 2017 IEEE 33rd International Conference on Data Engineering (ICDE), 959-970, 2017 | 25 | 2017 |
| Efficient discovery of sequence outlier patterns L Cao, Y Yan, S Madden, EA Rundensteiner, M Gopalsamy Proceedings of the VLDB Endowment 12 (8), 920-932, 2019 | 22 | 2019 |
| Smile: A system to support machine learning on EEG data at scale L Cao, W Tao, S An, J Jin, Y Yan, X Liu, W Ge, A Sah, L Battle, J Sun, ... Proceedings of the VLDB Endowment 12 (12), 2230-2241, 2019 | 17 | 2019 |
| Continuously adaptive similarity search H Zhang, L Cao, Y Yan, S Madden, EA Rundensteiner Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 14 | 2020 |
| Distributed Top-N local outlier detection in big data Y Yan, L Cao, EA Rundensteiner 2017 IEEE International Conference on Big Data (Big Data), 827-836, 2017 | 14 | 2017 |
| Swift: Mining representative patterns from large event streams Y Yan, L Cao, S Madden, EA Rundensteiner VLDB Endowment, 2018 | 12 | 2018 |
| Autood: Automatic outlier detection L Cao, Y Yan, Y Wang, S Madden, EA Rundensteiner Proceedings of the ACM on Management of Data 1 (1), 1-27, 2023 | 10 | 2023 |
| Science navigation map: An interactive data mining tool for literature analysis Y Liu, Z Huang, Y Yan, Y Chen Proceedings of the 24th International Conference on World Wide Web, 591-596, 2015 | 10 | 2015 |
| A demonstration of autood: a self-tuning anomaly detection system D Hofmann, P VanNostrand, H Zhang, Y Yan, L Cao, S Madden, ... Proceedings of the VLDB Endowment 15 (12), 3706-3709, 2022 | 7 | 2022 |
| Pivot-based distributed k-nearest neighbor mining C Kuhlman, Y Yan, L Cao, E Rundensteiner Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 5 | 2017 |
| An article level metric in the context of research community Y Liu, Z Huang, J Fang, Y Yan Proceedings of the 23rd International Conference on World Wide Web, 1197-1202, 2014 | 4 | 2014 |
| Atlantic: making database differentially private and faster with accuracy guarantee L Cao, D Xiao, Y Yan, S Madden, G Li VLDB Endowment, 2021 | 3 | 2021 |
| Outlier Summarization via Human Interpretable Rules Y Deng, Y Wang, L Cao, L Qiao, Y Wang, J Xu, Y Yan, S Madden Proceedings of the VLDB Endowment 17 (7), 1591-1604, 2024 | 1 | 2024 |
| Outlier detection from image data L Cao, Y Yan, S Madden, E Rundensteiner | 1 | 2019 |
| Unknown-aware deep neural network L Cao, Y Yan, S Madden, E Rundensteiner | 1 | 2019 |
| Interpretable Outlier Summarization Y Wang, L Cao, Y Yan, S Madden arXiv preprint arXiv:2303.06261, 2023 | | 2023 |
| Science Navigation Map: An Interactive Data Mining Tool Y Liu, Z Huang, Y Yan, Y Chen | | |
| Context-Aware Object Detection With Convolutional Neural Networks Y Yan, L Cao, S Madden, E Rundensteiner | | |
Lei CaoAssistant Professor, University of Arizona/Research Scientist, MIT CSAILVerified email at csail.mit.edu
