Chunying Jia — accepted AI-conference papers

2020

Tracing Network Evolution Using The Parafac2 Model

Marie Roald, Suchita Bhinge, Chunying Jia, Vince D. Calhoun, Tülay Adali, Evrim Acar

ICASSP 2020accepted

Characterizing time-evolving networks is a challenging task, but it is crucial for understanding the dynamic behavior of complex systems such as the brain. For instance, how spatial networks of functional connectivity in the brain evolve during a task is not well-understood. A traditional approach i…

Cited by 16 Source ↗Scholar ↗

2018

Consistent Run Selection for Independent Component Analysis: Application to Fmri Analysis

Qunfang Long, Chunying Jia, Zois Boukouvalas, Ben Gabrielson, Darren Emge, Tülay Adali

ICASSP 2018accepted

Independent component analysis (ICA) has found wide application in a variety of areas, and analysis of functional magnetic resonance imaging (fMRI) data has been a particularly fruitful one. Maximum likelihood provides a natural formuiation for ICA and allows one to take into account multiple statis…

Cited by 38 Source ↗Scholar ↗