Area of research
Molecular Biology · Neurology
Research interest
Research interests include Computer science, Artificial intelligence, Underwater, Generalization, Embedding, and Modal.
TriCLFF: a multi-modal feature fusion framework using contrastive learning for spatial domain identification
Dimension reduction, cell clustering, and cell–cell communication inference for single-cell transcriptomics with DcjComm
Multi-modal recursive prompt learning with mixup embedding for generalization recognition
Learning mapping by curve iteration estimation For real-time underwater image enhancement
MLTU: mixup long-tail unsupervised zero-shot image classification on vision-language models
UIEOGP: an underwater image enhancement method based on optical geometric properties
Multi-Modal Recursive Prompt Learning with Mixup Embedding for Generalization Recognition