A data-driven approach to extract connectivity structures from diffusion tensor imaging data. - Yu Jin 008; Joseph F. JáJá; Rong Chen 005; Edward H. Herskovits (IEEE BigData, 2015)

A High Performance Implementation of Spectral Clustering on CPU-GPU Platforms. - Yu Jin 008; Joseph F. JáJá (IPDPS Workshops, 2016)

Scalable Algorithms for Generating and Analyzing Structural Brain Networks with a Varying Number of Nodes. - Yu Jin 008; Joseph F. JáJá; Rong Chen 005; Edward H. Herskovits (CoRR, 2016)

Connectivity-Based Brain Parcellation - A Connectivity-Based Atlas for Schizophrenia Research. - Qi Wang 004; Rong Chen 005; Joseph F. JáJá; Yu Jin 008; L. Elliot Hong; Edward H. Herskovits (Neuroinformatics, 2016)

Network Summarization with Preserved Spectral Properties. - Yu Jin 008; Joseph F. JáJá (CoRR, 2018)

Learning Graph-Level Representations with Gated Recurrent Neural Networks. - Yu Jin 008; Joseph F. JáJá (CoRR, 2018)

Graph Coarsening with Preserved Spectral Properties. - Yu Jin 008; Andreas Loukas; Joseph F. JáJá (AISTATS, 2020)

Improving Graph Neural Network with Learnable Permutation Pooling. - Yu Jin 008; Joseph F. JáJá (ICDM (Workshops), 2022)

Representation Learning For Large-scale Graphs. - Yu Jin 008 (2023)