Edward K. Kao

32 papers A* 1A 1B 1C 2Misc 3Journal 16Unranked 8
YearRankTypeTitle / Venue / Authors
2025 A conf
Top-Down SBP: Turning Graph Clustering Upside Down.
HPDC
Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-chun Feng
2024 J jnl
SamBaS: Sampling-Based Stochastic Block Partitioning.
IEEE Trans. Netw. Sci. Eng.
Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-chun Feng
2023 — conf
An Integrated Approach for Accelerating Stochastic Block Partitioning.
HPEC
Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-chun Feng
2023 C conf
Exact Distributed Stochastic Block Partitioning.
CLUSTER
Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-chun Feng
2023 J jnl
Exact Distributed Stochastic Block Partitioning.
CoRR
Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-chun Feng
2022 J jnl
Exposing the Obscured Influence of State-Controlled Media: A Causal Estimation of Influence Between Media Outlets Via Quotation Propagation.
CoRR
Joseph Schlessinger, Richard Bennet, Jacob Coakwell, Steven Thomas Smith, Edward K. Kao
2022 B conf
On the Parallelization of MCMC for Community Detection.
ICPP
Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-chun Feng
2021 J jnl
Automatic detection of influential actors in disinformation networks.
Proc. Natl. Acad. Sci. USA
Steven Thomas Smith, Edward K. Kao, Erika D. Mackin, Danelle C. Shah, Olga Simek, Donald B. Rubin
2021 J jnl
Topology-Guided Sampling for Fast and Accurate Community Detection.
CoRR
Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-chun Feng
2020 J jnl
Automatic Detection of Influential Actors in Disinformation Networks.
CoRR
Steven Thomas Smith, Edward K. Kao, Erika D. Mackin, Danelle C. Shah, Olga Simek, Donald B. Rubin
2020 — conf
GraphChallenge.org Triangle Counting Performance.
HPEC
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
2020 J jnl
GraphChallenge.org Triangle Counting Performance.
CoRR
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
2020 — conf
Leveraging Linear Algebra to Count and Enumerate Simple Subgraphs.
HPEC
Vitaliy Gleyzer, Andrew J. Soszynski, Edward K. Kao
2019 J jnl
Hybrid Mixed-Membership Blockmodel for Inference on Realistic Network Interactions.
IEEE Trans. Netw. Sci. Eng.
Edward K. Kao, Steven Thomas Smith, Edoardo M. Airoldi
2018 — conf
GraphChallenge.org: Raising the Bar on Graph Analytic Performance.
HPEC
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
2018 J jnl
GraphChallenge.org: Raising the Bar on Graph Analytic Performance.
CoRR
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
2018 — conf
Influence Estimation on Social Media Networks Using Causal Inference.
SSP
Steven Thomas Smith, Edward K. Kao, Danelle C. Shah, Olga Simek, Donald B. Rubin
2018 J jnl
Influence Estimation on Social Media Networks Using Causal Inference.
CoRR
Steven Thomas Smith, Edward K. Kao, Danelle C. Shah, Olga Simek, Donald B. Rubin
2017 J jnl
Causal Inference Under Network Interference: A Framework for Experiments on Social Networks.
CoRR
Edward K. Kao
2017 J jnl
Static Graph Challenge: Subgraph Isomorphism.
CoRR
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
2017 — conf
Static graph challenge: Subgraph isomorphism.
HPEC
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
2017 J jnl
Streaming Graph Challenge: Stochastic Block Partition.
CoRR
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
2017 — conf
Streaming graph challenge: Stochastic block partition.
HPEC
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
2014 J jnl
Bayesian Discovery of Threat Networks.
IEEE Trans. Signal Process.
Steven Thomas Smith, Edward K. Kao, Kenneth D. Senne, Garrett Bernstein, Scott Philips
2014 Misc conf
Bayesian network detection using absorbing Markov chains.
ICASSP
Steven Thomas Smith, Edward K. Kao, Kenneth D. Senne, Garrett Bernstein
2013 J jnl
Bayesian Discovery of Threat Networks.
CoRR
Steven Thomas Smith, Edward K. Kao, Kenneth D. Senne, Garrett Bernstein, Scott Philips
2013 — conf
Estimation of Causal Peer Influence Effects.
ICML (3)
Panos Toulis, Edward K. Kao
2013 J jnl
Network Detection Theory and Performance
CoRR
Steven Thomas Smith, Kenneth D. Senne, Scott Philips, Edward K. Kao, Garrett Bernstein
2012 Misc conf
Detecting activity-based communities using dynamic membership propagation.
ICASSP
Scott Philips, Michael Yee, Edward K. Kao, Christian Anderson
2012 Misc conf
Harmonic space-time threat propagation for graph detection.
ICASSP
Steven Thomas Smith, Scott Philips, Edward K. Kao
2011 C conf
Network discovery using wide-area surveillance data.
FUSION
Steven Thomas Smith, Andrew Silberfarb, Scott Philips, Edward K. Kao, Christian Anderson
2009 A* conf
An information theoretic approach for tracker performance evaluation.
ICCV
Edward K. Kao, Matthew P. Daggett, Michael B. Hurley