Paper

05/2024, One paper was accepted by IEEE Transactions on Pattern Recognition and Machine Intelligence! The paper introduced the techniques for handling multigraph clustering through credible neighbors extraction, fusion and inference.

04/2024, One paper was accepted by IEEE Transactions on Neural Networks and Learning Systems! The paper introduce cross-view graph interaction techniques for multiview learning domain.

04/2024, One paper was accepted by IEEE Transactions on Signal Processing! The paper established the bridge between graph modularity analysis and graph in graph signal processing domain.

01/2024, One co-authored paper was accepted by Nature Plants! The paper introduced how recombination is regulated and distributed in the holocentric plant.

12/2023, Excited to share our research on predicting circRNA and disease associations using knowledge graph based recursion and attention aggregation at arxiv[https://www.biorxiv.org/content/10.1101/2023.12.04.569883v1].

09/2023, One paper was accepted by IEEE Journal of Biomedical and Health Informatics! The paper introduced a Graph-Bert Based multi-scale information fusion framework for ncRNA-disease association prediction.

08/2023, One paper was accepted by Briefings in Bioinformatics! The paper introduce an efficient representation learning framework based on knowledge graph encoder from transformer for predicting circRNA-disease associations.

02/2023, Congratulations to Ying Wang for having the paper accepted in IEEE Journal of Biomedical and Health Informatics! The paper introduced a deep learning-based framework differentiating lncRNA from other protein-coding transcripts without dependencies on prior biological knowledge.