Edward K. Kao

According to our database, Edward K. Kao authored at least 24 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SamBaS: Sampling-Based Stochastic Block Partitioning.

Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-chun Feng

IEEE Trans. Netw. Sci. Eng., 2024

2023

An Integrated Approach for Accelerating Stochastic Block Partitioning.

Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-chun Feng

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

Exact Distributed Stochastic Block Partitioning.

Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-Chun Feng

Proceedings of the IEEE International Conference on Cluster Computing, 2023

2022

Exposing the Obscured Influence of State-Controlled Media: A Causal Estimation of Influence Between Media Outlets Via Quotation Propagation.

Joseph Schlessinger, Richard Bennet, Jacob Coakwell, Steven Thomas Smith, Edward K. Kao

CoRR, 2022

On the Parallelization of MCMC for Community Detection.

Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-chun Feng

Proceedings of the 51st International Conference on Parallel Processing, 2022

2021

Automatic detection of influential actors in disinformation networks.

Steven Thomas Smith, Edward K. Kao, Erika D. Mackin, Danelle C. Shah, Olga Simek, Donald B. Rubin

Proc. Natl. Acad. Sci. USA, 2021

Topology-Guided Sampling for Fast and Accurate Community Detection.

Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-chun Feng

CoRR, 2021

2020

GraphChallenge.org Triangle Counting Performance.

Siddharth Samsi, Jeremy Kepner, Vijay Gadepally, Michael B. Hurley, Michael Jones, Edward K. Kao, Sanjeev Mohindra, Albert Reuther, Steven Thomas Smith, William Song, Diane Staheli, Paul Monticciolo

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

Leveraging Linear Algebra to Count and Enumerate Simple Subgraphs.

Vitaliy Gleyzer, Andrew J. Soszynski, Edward K. Kao

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

2019

Hybrid Mixed-Membership Blockmodel for Inference on Realistic Network Interactions.

Edward K. Kao, Steven Thomas Smith, Edoardo M. Airoldi

IEEE Trans. Netw. Sci. Eng., 2019

2018

Influence Estimation on Social Media Networks Using Causal Inference.

Steven Thomas Smith, Edward K. Kao, Danelle C. Shah, Olga Simek, Donald B. Rubin

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

GraphChallenge.org: Raising the Bar on Graph Analytic Performance.

Siddharth Samsi, Vijay Gadepally, Michael B. Hurley, Michael Jones, Edward K. Kao, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Steven Thomas Smith, William Song, Diane Staheli, Jeremy Kepner

Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

2017

Causal Inference Under Network Interference: A Framework for Experiments on Social Networks.

Edward K. Kao

CoRR, 2017

Static Graph Challenge: Subgraph Isomorphism.

Siddharth Samsi, Vijay Gadepally, Michael B. Hurley, Michael Jones, Edward K. Kao, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Steven Thomas Smith, William S. Song, Diane Staheli, Jeremy Kepner

CoRR, 2017

Static graph challenge: Subgraph isomorphism.

Siddharth Samsi, Vijay Gadepally, Michael B. Hurley, Michael Jones, Edward K. Kao, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Steven Thomas Smith, William Song, Diane Staheli, Jeremy Kepner

Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

Streaming graph challenge: Stochastic block partition.

Edward K. Kao, Vijay Gadepally, Michael B. Hurley, Michael Jones, Jeremy Kepner, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Siddharth Samsi, William Song, Diane Staheli, Steven Thomas Smith

Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

2014

Bayesian Discovery of Threat Networks.

Steven Thomas Smith, Edward K. Kao, Kenneth D. Senne, Garrett Bernstein, Scott Philips

IEEE Trans. Signal Process., 2014

Bayesian network detection using absorbing Markov chains.

Steven Thomas Smith, Edward K. Kao, Kenneth D. Senne, Garrett Bernstein

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Network Detection Theory and Performance

Steven Thomas Smith, Kenneth D. Senne, Scott Philips, Edward K. Kao, Garrett Bernstein

CoRR, 2013

Estimation of Causal Peer Influence Effects.

Panos Toulis, Edward K. Kao

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Harmonic space-time threat propagation for graph detection.

Steven Thomas Smith, Scott Philips, Edward K. Kao

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Detecting activity-based communities using dynamic membership propagation.

Scott Philips, Michael Yee, Edward K. Kao, Christian Anderson

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Network discovery using wide-area surveillance data.

Steven Thomas Smith, Andrew Silberfarb, Scott Philips, Edward K. Kao, Christian Anderson

Proceedings of the 14th International Conference on Information Fusion, 2011

2009

An information theoretic approach for tracker performance evaluation.

Edward K. Kao, Matthew P. Daggett, Michael B. Hurley

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009