| Estimation of causal peer influence effects P Toulis, EK Kao International Conference on Machine Learning, 1489-1497, 2013 | 209 | 2013 |
| 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 | 104 | 2017 |
| 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 | 82 | 2017 |
| 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 | 59 | 2021 |
| 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 | 39* | 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 | 33 | 2018 |
| 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 | 26 | 2018 |
| Bayesian discovery of threat networks ST Smith, EK Kao, KD Senne, G Bernstein, S Philips IEEE Transactions on Signal Processing 62 (20), 2014 | 25 | 2014 |
| Causal estimation of peer influence effects E Kao, P Toulis, E Airoldi, DB Rubin NIPS 2012 Workshop ‘Social Network and Social Media Analysis: Methods …, 2012 | 18 | 2012 |
| 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 | 17 | 2020 |
| Hybrid Mixed-Membership Blockmodel for Inference on Realistic Network Interactions EK Kao, ST Smith, EM Airoldi IEEE Transactions on Network Science and Engineering, 2018 | 17 | 2018 |
| Causal Inference Under Network Interference: A Framework for Experiments on Social Networks EK Kao PhD Dissertation, Statistics Department, Harvard University, 2017 | 17 | 2017 |
| Covert network detection ST Smith, KD Senne, S Philips, EK Kao, G Bernstein Lincoln Laboratory Journal 20 (1), 3.1, 2013 | 15 | 2013 |
| 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 | 14 | 2012 |
| 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 | 14 | 2010 |
| 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 | 11 | 2011 |
| Harmonic space-time threat propagation for graph detection ST Smith, S Philips, EK Kao 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 9 | 2012 |
| 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 | 6 | 2022 |
| 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 | 5 | 2020 |
| Network detection theory and performance ST Smith, KD Senne, S Philips, EK Kao, G Bernstein arXiv preprint arXiv:1303.5613, 2013 | 5 | 2013 |
Steven Thomas SmithMIT Lincoln LaboratoryVerified email at ieee.org
