The full publication can be found at my Google Scholar page.

Topics: ◼Transfer Learning ◼Graph Representation Learning  ◼BioMedical Informatics

Journal papers

◼A decade survey of transfer learning (2010-2020).

◼◼Distant domain transfer learning for medical imaging.

◼AI-driven deep learning techniques in protein structure prediction.

◼Spatial-temporal graph data mining for IoT-enabled air mobility prediction..

◼Dynamic Prognosis Prediction for Patients on DAPT After Drug-Eluting Stent Implantation: Model Development and Validation..

◼A transfer learning framework for predictive energy-related scenarios in smart buildings.

Conference papers

◼SKGHOI: Spatial-Semantic Knowledge Graph for Human-Object Interaction Detection.

◼Reinforced contrastive graph neural networks (RCGNN) for anomaly detection.

◼Feature-based Distant Domain Transfer Learning.

◼Predicting Protein-Protein Binding Affinity with Deep Learning: A Comparative Analysis of CNN and Transformer Models.