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.
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.
08/2023:🏦🏦The lab received the NSFC funding for our research in representation learning using deep learning to facilitate algorithmic and scientific advances in spatial single cell epigenomics.
03/2023:🎤🎤Prof. Laiyi Fu gave a talk about knowledge graph encoder from transformer for predicting circRNA-disease associations(KGETCDA) at ICBCB 2023 in Hangzhou, China!
03/2023:🏦🏦The lab received the Research Funding for Young Talent Recruiting Plans of Xi’an Jiaotong University for research on crop genomics.