Zhenghan chen

Adaptive Drug Interaction Prediction via Enhanced Graph Representation Learning

Enhancing Cross-Lingual and Cross-Domain Adaptability in Large Language Models for Software Engineering

A Unified Riemannian-Geometric Framework for SARS-CoV-2 Detection from CT Scans

Advancing Drug-Target Interaction Prediction via Graph Transformers and Residual Protein Embeddings

Non-Commutative Spectral Geometry for Adaptive Quantum-Classical Drug-Target Interaction Prediction

CrossModalNet: Multimodal Medical Segmentation with Guaranteed Cross-Modal Flow and Domain Adaptability

Graph-Enhanced Learning for Predicting Optimal Drug Combinations Using Contrastive Embedding

Adaptive Tensor Attention Networks with Cross-Domain Transfer for Drug-Target Interaction Prediction

Bridging Visual Communication and Data Exploration through Pose-Driven Query Synthesis

A Dual-Modal Framework Utilizing Visual Prompts for Enhanced Patch Analysis