An information theoretic approach for tracker performance evaluation. - Edward K. Kao; Matthew P. Daggett; Michael B. Hurley (ICCV, 2009)

Network discovery using wide-area surveillance data. - Steven Thomas Smith; Andrew Silberfarb; Scott Philips; Edward K. Kao; Christian Anderson (FUSION, 2011)

Detecting activity-based communities using dynamic membership propagation. - Scott Philips; Michael Yee; Edward K. Kao; Christian Anderson (ICASSP, 2012)

Harmonic space-time threat propagation for graph detection. - Steven Thomas Smith; Scott Philips; Edward K. Kao (ICASSP, 2012)

Estimation of Causal Peer Influence Effects. - Panos Toulis; Edward K. Kao (ICML (3), 2013)

Network Detection Theory and Performance - Steven Thomas Smith; Kenneth D. Senne; Scott Philips; Edward K. Kao; Garrett Bernstein (CoRR, 2013)

Bayesian network detection using absorbing Markov chains. - Steven Thomas Smith; Edward K. Kao; Kenneth D. Senne; Garrett Bernstein (ICASSP, 2014)

Bayesian Discovery of Threat Networks. - Steven Thomas Smith; Edward K. Kao; Kenneth D. Senne; Garrett Bernstein; Scott Philips (IEEE Trans. Signal Process., 2014)

Streaming graph challenge: Stochastic block partition. - Edward K. Kao; Vijay Gadepally; Michael B. Hurley; Michael Jones 001; Jeremy Kepner; Sanjeev Mohindra; Paul Monticciolo; Albert Reuther; Siddharth Samsi; William Song; Diane Staheli; Steven Thomas Smith (HPEC, 2017)

Static graph challenge: Subgraph isomorphism. - Siddharth Samsi; Vijay Gadepally; Michael B. Hurley; Michael Jones 001; Edward K. Kao; Sanjeev Mohindra; Paul Monticciolo; Albert Reuther; Steven Thomas Smith; William Song; Diane Staheli; Jeremy Kepner (HPEC, 2017)

Static Graph Challenge: Subgraph Isomorphism. - Siddharth Samsi; Vijay Gadepally; Michael B. Hurley; Michael Jones 001; Edward K. Kao; Sanjeev Mohindra; Paul Monticciolo; Albert Reuther; Steven Thomas Smith; William S. Song; Diane Staheli; Jeremy Kepner (CoRR, 2017)

Causal Inference Under Network Interference: A Framework for Experiments on Social Networks. - Edward K. Kao (CoRR, 2017)

GraphChallenge.org: Raising the Bar on Graph Analytic Performance. - Siddharth Samsi; Vijay Gadepally; Michael B. Hurley; Michael Jones 001; Edward K. Kao; Sanjeev Mohindra; Paul Monticciolo; Albert Reuther; Steven Thomas Smith; William Song; Diane Staheli; Jeremy Kepner (HPEC, 2018)

Influence Estimation on Social Media Networks Using Causal Inference. - Steven Thomas Smith; Edward K. Kao; Danelle C. Shah; Olga Simek; Donald B. Rubin (SSP, 2018)

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)

Leveraging Linear Algebra to Count and Enumerate Simple Subgraphs. - Vitaliy Gleyzer; Andrew J. Soszynski; Edward K. Kao (HPEC, 2020)

GraphChallenge.org Triangle Counting Performance. - Siddharth Samsi; Jeremy Kepner; Vijay Gadepally; Michael B. Hurley; Michael Jones 001; Edward K. Kao; Sanjeev Mohindra; Albert Reuther; Steven Thomas Smith; William Song; Diane Staheli; Paul Monticciolo (HPEC, 2020)

Topology-Guided Sampling for Fast and Accurate Community Detection. - Frank Wanye; Vitaliy Gleyzer; Edward K. Kao; Wu-chun Feng (CoRR, 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)

On the Parallelization of MCMC for Community Detection. - Frank Wanye; Vitaliy Gleyzer; Edward K. Kao; Wu-chun Feng (ICPP, 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)

Exact Distributed Stochastic Block Partitioning. - Frank Wanye; Vitaliy Gleyzer; Edward K. Kao; Wu-Chun Feng (CLUSTER, 2023)

An Integrated Approach for Accelerating Stochastic Block Partitioning. - Frank Wanye; Vitaliy Gleyzer; Edward K. Kao; Wu-chun Feng (HPEC, 2023)

SamBaS: Sampling-Based Stochastic Block Partitioning. - Frank Wanye; Vitaliy Gleyzer; Edward K. Kao; Wu-chun Feng (IEEE Trans. Netw. Sci. Eng., 2024)