Area of research
Sociology and Political Science · Cancer Research
Research interest
Research focused on Photosensitizer and Photodynamic therapy, with related work in Artificial intelligence, Phototoxicity, Inference. Notable publications include 'Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records', 'MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction', and 'EGBMMDA: Extreme Gradient Boosting Machine for MiRNA-Disease Association prediction'.
Identifying urosepsis risk in diabetic patients with renal and ureteral calculi: Key predictors and clinical implications
Fluorinated benzothiadiazole fluorescent probe based on ICT mechanism for highly selectivity and sensitive detection of fluoride ion
Near-Infrared Light-Triggered Lysosome-Targetable Carbon Dots for Photothermal Therapy of Cancer
Acceptor-donor-acceptor structured deep-red AIE photosensitizer: Lysosome-specific targeting, in vivo long-term imaging, and effective photodynamic therapy
PHMOSpell: Phonological and Morphological Knowledge Guided Chinese Spelling Check
An Iridium Complex as an AIE‐active Photosensitizer for Image‐guided Photodynamic Therapy
LoAdaBoost: Loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data
AIE based GSH activatable photosensitizer for imaging-guided photodynamic therapy
A Tetraphenylethylene-Based Aggregation-Induced Emission Probe for Fluorescence Turn-on Detection of Lipopolysaccharide in Injectable Water with Sensitivity Down to Picomolar
Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records
MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction
EGBMMDA: Extreme Gradient Boosting Machine for MiRNA-Disease Association prediction
LRSSLMDA: Laplacian Regularized Sparse Subspace Learning for MiRNA-Disease Association prediction