- Mental health and disease prediction.- Data Augmentation and Instruction Fine-Tuning for ADR Detection.- Deep Fusion Network with Feature Engineering for Discharge Risk Assessment.- Analysis of Risk Factors for Hemorrhagic Complications in Pediatric Acute Liver Failure.- PMFNet: Pseudo-modal fusion network for obstructive sleep apnea detection using single-lead ECG signals.- VisionLLM-based Multimodal Fusion Network for Glottic Carcinoma Early Detection.- RAG Combined with Instruction Tuning for Traditional Chinese Medicine Syndrome Differentiation Thinking.- Drug prediction and Knowledge map.

- MBF-DTI: A fused multi-dimensional biochemical feature-based drug target prediction method based on heterogeneous graph attention networks.- Structure and pseudo-ligand based drug discovery for disease targets.- Multi-channel hypergraph convolutional network predicts circRNA-drug sensitivity associations.- Knowledge Infusion Framework with LLMs for Few-Shot Biomedical Relation Extraction.- A review of drug-target interaction prediction methods.- The Joint Entity-Relation Extraction Model Based on Span and Interactive Fusion Representation for Chinese Medical Texts with Complex Semantics.- Multi-task learning-based knowledge graph question answering for pediatric epilepsy.- Hypertension Medication Recommendation Based on Synergy and Selectivity of Heterogeneous Medical Entities.

- Integrating TCM's "One Root of Medicine and Food" Principle into Dietary Recommendations with Retrieval-Augmented LLMs.- OAGLLM: A Retrieval-Augmented Large Language Model for Medication Instructions.