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.
04/2024:🎓🎓Prof. Laiyi Fu was invited as Guest Editor in Frontiers in Genetics.
04/2024:🏦🏦The lab received the Research Funding for Young Talent Plans of Northwest A&F University for research on multi-modal graph learning and the applications in bioinformatics.
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:✏️✏️Prof. Hequan Sun was invited as origanizing committee member of CAA-Smart Ecology And Systems Agriculture.
12/2023:🎉🎉Excited to share our research on predicting circRNA and disease associations using knowledge graph based recursion and attention aggregation at arxiv.
11/2023:🏦🏦The lab received the China Postdoctoral Science Foundation for our research on Geometric representation learning on RNA tertiary structure learning using deep learning and foundation modeling.
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.