Recently, the paper ‘FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation Against Heterogeneous Annotation Noise’ by our lab’s student Wu Nannan, and the paper ‘DTMFormer: Dynamic Token Merging for Boosting Transformer-based Medical Image Segmentation’ by student Wang Zhehao, have been accepted by the international conference AAAI Conference on Artificial Intelligence (AAAI). AAAI is one of the most important international conferences in the field of artificial intelligence and a Category-A international academic conference recommended by the China Computer Federation (CCF), with high academic influence.