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Edward K. Kao
Edward K. Kao
MIT Lincoln Laboratory
Verified email at ll.mit.edu - Homepage
Title
Cited by
Cited by
Year
Estimation of causal peer influence effects
P Toulis, EK Kao
International Conference on Machine Learning, 1489-1497, 2013
1962013
Static graph challenge: Subgraph isomorphism
S Samsi, V Gadepally, M Hurley, M Jones, E Kao, S Mohindra, ...
2017 IEEE High Performance Extreme Computing Conference (HPEC), 1-6, 2017
1042017
Streaming graph challenge: Stochastic block partition
E Kao, V Gadepally, M Hurley, M Jones, J Kepner, S Mohindra, ...
2017 IEEE High performance extreme computing conference (HPEC), 1-12, 2017
792017
Automatic detection of influential actors in disinformation networks
ST Smith, EK Kao, ED Mackin, DC Shah, O Simek, DB Rubin
Proceedings of the National Academy of Sciences 118 (4), e2011216118, 2021
552021
An information theoretic approach for tracker performance evaluation
EK Kao, MP Daggett, MB Hurley
Computer Vision, 2009 IEEE 12th International Conference on, 1523-1529, 2009
40*2009
Graphchallenge. org: Raising the bar on graph analytic performance
S Samsi, V Gadepally, M Hurley, M Jones, E Kao, S Mohindra, ...
2018 IEEE High Performance extreme Computing Conference (HPEC), 1-7, 2018
332018
Bayesian discovery of threat networks
ST Smith, EK Kao, KD Senne, G Bernstein, S Philips
IEEE Transactions on Signal Processing 62 (20), 2014
262014
Influence estimation on social media networks using causal inference
ST Smith, EK Kao, DC Shah, O Simek, DB Rubin
2018 IEEE Statistical Signal Processing Workshop (SSP), 328-332, 2018
242018
Hybrid Mixed-Membership Blockmodel for Inference on Realistic Network Interactions
EK Kao, ST Smith, EM Airoldi
IEEE Transactions on Network Science and Engineering, 2018
182018
Causal estimation of peer influence effects
E Kao, P Toulis, E Airoldi, DB Rubin
Proceedings of the NIPS Workshop on Social Network and Social Media Analysis, 2012
182012
Causal Inference Under Network Interference: A Framework for Experiments on Social Networks
EK Kao
PhD Dissertation, Statistics Department, Harvard University, 2017
172017
Graphchallenge. org triangle counting performance
S Samsi, J Kepner, V Gadepally, M Hurley, M Jones, E Kao, S Mohindra, ...
2020 IEEE High Performance Extreme Computing Conference (HPEC), 1-9, 2020
162020
Covert network detection
ST Smith, KD Senne, S Philips, EK Kao, G Bernstein
Lincoln Laboratory Journal 20 (1), 3.1, 2013
152013
Detecting activity-based communities using dynamic membership propagation
S Philips, M Yee, E Kao, C Anderson
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
152012
Information theoretic approach for performance evaluation of multi-class assignment systems
RS Holt, PA Mastromarino, EK Kao, MB Hurley
Signal Processing, Sensor Fusion, and Target Recognition XIX 7697, 317-328, 2010
142010
Network discovery using wide-area surveillance data
ST Smith, A Silberfarb, S Philips, EK Kao, C Anderson
14th International Conference on Information Fusion, 1-8, 2011
112011
Harmonic space-time threat propagation for graph detection
ST Smith, S Philips, EK Kao
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
92012
On the parallelization of mcmc for community detection
F Wanye, V Gleyzer, E Kao, W Feng
Proceedings of the 51st International Conference on Parallel Processing, 1-13, 2022
52022
Leveraging linear algebra to count and enumerate simple subgraphs
V Gleyzer, AJ Soszynski, EK Kao
2020 IEEE High Performance Extreme Computing Conference (HPEC), 1-8, 2020
52020
Network detection theory and performance
ST Smith, KD Senne, S Philips, EK Kao, G Bernstein
arXiv preprint arXiv:1303.5613, 2013
52013
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Articles 1–20