Area of research
Electrical and Electronic Engineering · Spectroscopy
Research interest
Research topics from publications: Interpretable classification of pathology whole-slide images using attention based context-aware graph convolutional neural network; Terahertz spectral properties of glucose and two disaccharides in solid and liquid states; Multi-scale self-attention generative adversarial network for pathology image restoration; Vibrational spectroscopic detection and analysis of salicylic acid and aspirin binary cocrystal; CAF-AHGCN: context-aware attention fusion adaptive hypergraph convolutional network for human-interpretable prediction of gigapixel whole-slide image; HSG-MGAF Net: Heterogeneous subgraph-guided multiscale graph attention fusion network for interpretable prediction of whole-slide image. Representative work: The vibrational and rotational frequencies of most biological macromolecules fall within the terahertz (THz) band; therefore, the THz wave has a strong ability to distinguish substances. Saccharides are important organic substances and the main source of life-sustaining activities. In this study, the spectral characteristics of D-glucose, α-lactose hydrate, and β-maltose hydrate were measured in the solid state through THz time-domain spectroscopy in the frequency range of 0.1-2.5 THz. The crystal configurations of these three saccharides were then simulated using solid-state density functional theory, and the experimental results were found to be in good agreement with the simulation result Salicylic acid is a raw material for preparing aspirin and holds an important position in medical history. Studying the crystallization of these two drugs is of great significance in improving their dissolution rate, bioavailability, and physical stability. Although various techniques have been used for structural characterization, there is still a lack of information on the collective vibrational behavior of aspirin and salicylic acid eutectic compounds. Firstly, two starting materials (salicylic acid and aspirin) were ground in a 1:1 M ratio to prepare eutectic compounds. The eutectic composition was studied using vibrational spectroscopy techniques, such as X-ray powder diffusion (XRPD),
Vibrational spectroscopic detection and analysis of salicylic acid and aspirin binary cocrystal
CAF-AHGCN: context-aware attention fusion adaptive hypergraph convolutional network for human-interpretable prediction of gigapixel whole-slide image
HSG-MGAF Net: Heterogeneous subgraph-guided multiscale graph attention fusion network for interpretable prediction of whole-slide image
Interpretable classification of pathology whole-slide images using attention based context-aware graph convolutional neural network
Terahertz spectral properties of glucose and two disaccharides in solid and liquid states
Multi-scale self-attention generative adversarial network for pathology image restoration