Edward K. Kao

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 22

Top Topics

Graph Isomorphism

Information Networks

Causal Inference

Top Venues

IEEE Trans. Netw. Sci. Eng.

Publications

Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-chun Feng
SamBaS: Sampling-Based Stochastic Block Partitioning. IEEE Trans. Netw. Sci. Eng. 11 (3) (2024)
Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-chun Feng
An Integrated Approach for Accelerating Stochastic Block Partitioning. HPEC (2023)
Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-Chun Feng
Exact Distributed Stochastic Block Partitioning. CLUSTER (2023)
Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-chun Feng
Exact Distributed Stochastic Block Partitioning. CoRR (2023)
Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-chun Feng
On the Parallelization of MCMC for Community Detection. ICPP (2022)
Joseph Schlessinger, Richard Bennet, Jacob Coakwell, Steven Thomas Smith, Edward K. Kao
Exposing the Obscured Influence of State-Controlled Media: A Causal Estimation of Influence Between Media Outlets Via Quotation Propagation. CoRR (2022)
Steven Thomas Smith, Edward K. Kao, Erika D. Mackin, Danelle C. Shah, Olga Simek, Donald B. Rubin
Automatic detection of influential actors in disinformation networks. Proc. Natl. Acad. Sci. USA 118 (4) (2021)
Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-chun Feng
Topology-Guided Sampling for Fast and Accurate Community Detection. CoRR (2021)
Steven Thomas Smith, Edward K. Kao, Erika D. Mackin, Danelle C. Shah, Olga Simek, Donald B. Rubin
Automatic Detection of Influential Actors in Disinformation Networks. CoRR (2020)
Vitaliy Gleyzer, Andrew J. Soszynski, Edward K. Kao
Leveraging Linear Algebra to Count and Enumerate Simple Subgraphs. HPEC (2020)
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
GraphChallenge.org Triangle Counting Performance. CoRR (2020)
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
GraphChallenge.org Triangle Counting Performance. HPEC (2020)
Edward K. Kao, Steven Thomas Smith, Edoardo M. Airoldi
Hybrid Mixed-Membership Blockmodel for Inference on Realistic Network Interactions. IEEE Trans. Netw. Sci. Eng. 6 (3) (2019)
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
GraphChallenge.org: Raising the Bar on Graph Analytic Performance. CoRR (2018)
Steven Thomas Smith, Edward K. Kao, Danelle C. Shah, Olga Simek, Donald B. Rubin
Influence Estimation on Social Media Networks Using Causal Inference. CoRR (2018)
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
GraphChallenge.org: Raising the Bar on Graph Analytic Performance. HPEC (2018)
Steven Thomas Smith, Edward K. Kao, Danelle C. Shah, Olga Simek, Donald B. Rubin
Influence Estimation on Social Media Networks Using Causal Inference. SSP (2018)
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
Streaming graph challenge: Stochastic block partition. HPEC (2017)
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
Static Graph Challenge: Subgraph Isomorphism. CoRR (2017)
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
Static graph challenge: Subgraph isomorphism. HPEC (2017)
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
Streaming Graph Challenge: Stochastic Block Partition. CoRR (2017)
Edward K. Kao
Causal Inference Under Network Interference: A Framework for Experiments on Social Networks. CoRR (2017)
Steven Thomas Smith, Edward K. Kao, Kenneth D. Senne, Garrett Bernstein
Bayesian network detection using absorbing Markov chains. ICASSP (2014)
Steven Thomas Smith, Edward K. Kao, Kenneth D. Senne, Garrett Bernstein, Scott Philips
Bayesian Discovery of Threat Networks. IEEE Trans. Signal Process. 62 (20) (2014)
Steven Thomas Smith, Kenneth D. Senne, Scott Philips, Edward K. Kao, Garrett Bernstein
Network Detection Theory and Performance CoRR (2013)
Steven Thomas Smith, Edward K. Kao, Kenneth D. Senne, Garrett Bernstein, Scott Philips
Bayesian Discovery of Threat Networks. CoRR (2013)
Panos Toulis, Edward K. Kao
Estimation of Causal Peer Influence Effects. ICML (3) (2013)
Steven Thomas Smith, Scott Philips, Edward K. Kao
Harmonic space-time threat propagation for graph detection. ICASSP (2012)
Scott Philips, Michael Yee, Edward K. Kao, Christian Anderson
Detecting activity-based communities using dynamic membership propagation. ICASSP (2012)
Steven Thomas Smith, Andrew Silberfarb, Scott Philips, Edward K. Kao, Christian Anderson
Network discovery using wide-area surveillance data. FUSION (2011)
Edward K. Kao, Matthew P. Daggett, Michael B. Hurley
An information theoretic approach for tracker performance evaluation. ICCV (2009)