5 citations · 15 across the 10 of their papers we have counts for
10 papers
Exact Distributed Stochastic Block Partitioning
Frank Wanye, Vitaliy Gleyzer, Edward Kao +1
Stochastic block partitioning (SBP) is a community detection algorithm that is highly accurate even on graphs with a complex community structure, but its inherently serial nature h…
G2A2: An Automated Graph Generator with Attributes and Anomalies
Saikat Dey, Sonal Jha, Wu-chun Feng
Many data-mining applications use dynamic attributed graphs to represent relational information; but due to security and privacy concerns, there is a dearth of available datasets t…
Divide-and-Conquer Determinization of Büchi Automata based on SCC Decomposition
Yong Li, Andrea Turrini, Weizhi Feng +2
The determinization of a nondeterministic Büchi automaton (NBA) is a fundamental construction of automata theory, with applications to probabilistic verification and reactive synth…
A Deep-Learning Framework for Improving COVID-19 CT Image Quality and Diagnostic Accuracy
Garvit Goel, Jingyuan Qi, Wu-chun Feng +1
We present a deep-learning based computing framework for fast-and-accurate CT (DL-FACT) testing of COVID-19. Our CT-based DL framework was developed to improve the testing speed an…
On the Power of Finite Ambiguity in Büchi Complementation
Weizhi Feng, Yong Li, Andrea Turrini +2
In this work, we exploit the power of \emph{finite ambiguity} for the complementation problem of Büchi automata by using reduced run directed acyclic graphs (DAGs) over infinite wo…
SamBaS: Sampling-Based Stochastic Block Partitioning
Frank Wanye, Vitaliy Gleyzer, Edward Kao +1
Community detection is a well-studied problem with applications in domains ranging from networking to bioinformatics. Due to the rapid growth in the volume of real-world data, ther…