Dongshen Luo

Assistant Professor

Dongsheng Luo’s research topics include graph neural networks, and community detection in complex network analysis. His research bridges the areas of artificial intelligence, data mining, machine learning, and natural language processing. He is particularly interested in developing robust, integrative, and explainable tools that extract clean and human-understandable knowledge from noisy and heterogeneous network data, with applications in neuroscience, system management, and biomedicine.

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