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Lei Cao
Lei Cao
Assistant Professor, University of Arizona/Research Scientist, MIT CSAIL
Verified email at csail.mit.edu - Homepage
Title
Cited by
Cited by
Year
Scalable distance-based outlier detection over high-volume data streams
L Cao, D Yang, Q Wang, Y Yu, J Wang, EA Rundensteiner
2014 IEEE 30th International Conference on Data Engineering (ICDE), 76-87, 2014
1382014
Detecting moving object outliers in massive-scale trajectory streams
Y Yu*, L Cao*, EA Rundensteiner, Q Wang
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
752014
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
532017
Scalable kernel density estimation-based local outlier detection over large data streams
X Qin, L Cao, E Rundensteiner, S Madden
Proceedings of the 22nd International Conference on Extending Database …, 2019
462019
AI meets database: AI4DB and DB4AI
G Li, X Zhou, L Cao
Proceedings of the 2021 International Conference on Management of Data, 2859 …, 2021
412021
Online outlier exploration over large datasets
L Cao, M Wei, D Yang, EA Rundensteiner
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
412015
Outlier detection over massive-scale trajectory streams
Y Yu*, L Cao*, EA Rundensteiner, Q Wang
ACM Transactions on Database Systems (TODS) 42 (2), 10, 2017
402017
Human-in-the-loop Outlier Detection
C Chai, L Cao, G Li, J Li, Y Luo, S Madden
SIGMOD'20, 19-33, 2020
382020
Aria: A Fast and Practical Deterministic OLTP Database
Y Lu, X Yu, L Cao, S Madden
VLDB 2020 13 (11), 2020
362020
Scalable top-n local outlier detection
Y Yan*, L Cao*, EA Rundensteiner
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
322017
How to foster innovation: A data-driven approach to measuring economic competitiveness
C Kuhlman, KN Ramamurthy, P Sattigeri, AC Lozano, L Cao, C Reddy, ...
IBM Journal of Research and Development 61 (6), 11: 1-11: 12, 2017
292017
Sharing-aware outlier analytics over high-volume data streams
L Cao, J Wang, EA Rundensteiner
SIGMOD 2016, 527-540, 2016
282016
Interactive outlier exploration in big data streams
L Cao, Q Wang, EA Rundensteiner
Proceedings of the VLDB Endowment 7 (13), 1621-1624, 2014
282014
High performance stream query processing with correlation-aware partitioning
L Cao, EA Rundensteiner
Proceedings of the VLDB Endowment 7 (4), 265-276, 2013
272013
Machine learning for databases
G Li, X Zhou, L Cao
VLDB 2021, 2021
232021
Complex event analytics: Online aggregation of stream sequence patterns
Y Qi, L Cao, M Ray, EA Rundensteiner
Proceedings of the 2014 ACM SIGMOD International Conference on Management of …, 2014
222014
Data civilizer 2.0: A holistic framework for data preparation and analytics
EK Rezig, L Cao, M Stonebraker, G Simonini, W Tao, S Madden, ...
Proceedings of the VLDB Endowment 12 (12), 1954-1957, 2019
212019
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
192017
Maras: Signaling multi-drug adverse reactions
X Qin, T Kakar, S Wunnava, EA Rundensteiner, L Cao
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
182017
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
172019
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