Jinglong Zhang is a grade 2020 direct doctoral student majoring in Applied Mathematics in the institute of science and technology for brain-inspired intelligence of Fudan University, and he majored in automation in Xiamen University before.
At present, his research direction is single-cell (spatial) transcriptome data mining.
Research interests:
lNeural network, mainly focusing on generative model and comparative learning theory;
lManifold learning and optimization theory under manifold constraints;
lApplication of machine learning theory in single cell (spatial) transcriptome.
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