Area of research
Biophysics · Analytical Chemistry
Research interest
Research interests include Computer science, Artificial intelligence, Raman spectroscopy, Pattern recognition (psychology), Fusion, and Chemistry.
Multiscale multiperspective sympathetic fusion based on Raman and FTIR spectroscopy for diagnosis of benign and malignant thyroid tumor diseases
An Attention Fusion Network for Cancer Diagnosis Based on Vibrational Spectroscopy With Spectral Dynamic Time Warping
The Raman spectroscopy combined with selective state-space algorithm for constructing a rapid disease diagnosis model
Research on cancer rapid diagnosis technology based on adaptive channel attention mechanism and two-dimensional spectral fusion
High-order graph convolutional networks for circular Ribonucleic Acid and disease association prediction incorporating multiple biological relationships
Meta-ensemble learning with adaptive sampling for imbalanced medical Raman spectroscopy data
Rapid diagnosis of IgA nephropathy using dual branch network combined with FTIR based on cross attention mechanism
Feature-Consistent Cyclic Domain Adversarial Network for Unsupervised Transfer Diagnosis of the Autoimmune Disease Igg4-Rd by Raman Spectroscopy
Hybrid self-attention network combined with serum Raman spectroscopy for diagnosis of autoimmune diseases
Rapid Diagnosis of Chronic Kidney Disease via Raman Spectroscopy Combined With a Lightweight Mixture of Experts Method
Reconstruction-Driven Multimodal Spectral Feature Fusion for Multi-Disease Diagnosis
A Multi‐Scale Residual Network Based on Kolmogorov–Arnold Networks Combined With Raman Spectroscopy for Rapid Diagnosis of Membranous Glomerulonephritis
Reconstruction-driven multimodal spectral feature fusion for diagnosis of benign and malignant thyroid tumors, lung cancer, aortic valve stenosis, and type A aortic dissection
Non-invasive detection of systemic lupus erythematosus using SERS serum detection technology and deep learning algorithms
Rapid diagnosis of celiac disease based on plasma Raman spectroscopy combined with deep learning
Rapid diagnosis of systemic lupus erythematosus by Raman spectroscopy combined with spiking neural network
SLE diagnosis research based on SERS combined with a multi-modal fusion method
MURDA: Multisource Unsupervised Raman Spectroscopy Domain Adaptation Model with Reconstructed Target Domains for Medical Diagnosis Assistance
Diagnosing the degree of differentiation between types of oral cancer based on extreme deep neural network model and Raman spectroscopy
Application of one-dimensional hierarchical network assisted screening for cervical cancer based on Raman spectroscopy combined with attention mechanism
Rapid Diagnosis of Celiac Disease Based on Plasma Raman Spectroscopy Combined with Deep Learning
Research on User Default Prediction Algorithm Based on Adjusted Homogenous and Heterogeneous Ensemble Learning
A prospective study: Advances in chaotic characteristics of serum Raman spectroscopy in the field of assisted diagnosis of disease
Tensor product graph diffusion based on nonlinear fusion of multi-source information to predict circRNA-disease associations
Sle Diagnosis Research Based on Sers Combined with a Multi-Modal Fusion Method
Sle Diagnosis Research Based on Sers Combined with a Multi-Modal Fusion Method
SDPP: A tumor disease diagnosis application based on vibration spectroscopy and machine learning
A novel fast method for identifying the origin of Maojian using NIR spectroscopy with deep learning algorithms