Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research focused on Disease and Computational intelligence, with related work in Interpretability, Alzheimer's disease, Cluster analysis. Notable publications include 'MssNet: An Efficient Spatial Attention Model for Early Recognition of Alzheimer's Disease', 'Adaptive micro partition and hierarchical merging for accurate mixed data clustering', and 'Selecting Heterogeneous Features Based on Unified Density-Guided Neighborhood Relation for Complex Biomedical Data Analysis'.