Latest News | AI4BREAD

12/2024:🎉🎉One paper is selected as BEST PAPER at IEEE DTPI(Officially Online). Congrads to All the Authors!!! In this work, we use user historical data and information from similar user profiles to more accurately capture the user linguistic feature within dialogue subtasks.

11/2024:🎉🎉One paper is accepted by Heritage Science. In this work, we proposed a strategy for the enhancement and restoration for mural image under low-light and defected conditions.

10/2024:🎉🎉One paper is accepted and published by Bioinformatics. In this work, we proposed a strategy for estimating genome size of polyploid species using k-mer frequencies.

10/2024:🎉🎉One paper is accepted and published by Briefings in Bioinformatics. In this work, an asymmetric graph contrastive learning framework for predicting noncoding RNA–disease associations is proposed.

07/2024:🎉🎉One co-authored paper is published. In this work, somatic mutations within an apricot tree were analyzed using single-cell sequencing technolgies, and it was found that somutatic mutations showed layer specificity. How somatic mutations propagate and how they can impact clonally propagated crops were discussed.

05/2024:🎉🎉Excited to share our perspectives on enhancement and restoration for mural image under low-light and defected conditions at arxiv.

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.