Mapping Brain Structural Connectivities to Functional Networks Via Graph Encoder-Decoder With Interpretable Latent Embeddings. - Yang Li 149; Rasoul Shafipour; Gonzalo Mateos; Zhengwu Zhang (GlobalSIP, 2019)

Identifying Structural Brain Networks from Functional Connectivity: A Network Deconvolution Approach. - Yang Li 149; Gonzalo Mateos (ICASSP, 2019)

Supervised Graph Representation Learning for Modeling the Relationship between Structural and Functional Brain Connectivity. - Yang Li 149; Rasoul Shafipour; Gonzalo Mateos; Zhengwu Zhang (ICASSP, 2020)

Graph Frequency Analysis of COVID-19 Incidence to Identify County-Level Contagion Patterns in the United States. - Yang Li 149; Gonzalo Mateos (ICASSP, 2021)

Learning Similarity-Preserving Representations of Brain Structure-Function Coupling. - Yang Li 149; Gonzalo Mateos (EUSIPCO, 2022)

Confidence Estimation for Speech Emotion Recognition Based on the Relationship Between Emotion Categories and Primitives. - Yang Li 149; Constantinos Papayiannis; Viktor Rozgic; Elizabeth Shriberg; Chao Wang 018 (ICASSP, 2022)

Networks of international football: communities, evolution and globalization of the game. - Yang Li 149; Gonzalo Mateos (Appl. Netw. Sci., 2022)

Learning to Model the Relationship Between Brain Structural and Functional Connectomes. - Yang Li 149; Gonzalo Mateos; Zhengwu Zhang (IEEE Trans. Signal Inf. Process. over Networks, 2022)