4 papers
Large-Scale Model Enabled Semantic Communication Based on Robust Knowledge Distillation
Kuiyuan Ding, Caili Guo, Yang Yang +2
Large-scale models (LSMs) can be an effective framework for semantic representation and understanding, thereby providing a suitable tool for designing semantic communication (SC) s…
Enhancing Contrastive Learning-based Electrocardiogram Pretrained Model with Patient Memory Queue
Xiaoyu Sun, Yang Yang, Xunde Dong
In the field of automatic Electrocardiogram (ECG) diagnosis, due to the relatively limited amount of labeled data, how to build a robust ECG pretrained model based on unlabeled dat…
Rebalanced Vision-Language Retrieval Considering Structure-Aware Distillation
Yang Yang, Wenjuan Xi, Luping Zhou +1
Vision-language retrieval aims to search for similar instances in one modality based on queries from another modality. The primary objective is to learn cross-modal matching repres…
Membership Inference Attack against Long-Context Large Language Models
Zixiong Wang, Gaoyang Liu, Yang Yang +1
Recent advances in Large Language Models (LLMs) have enabled them to overcome their context window limitations, and demonstrate exceptional retrieval and reasoning capacities on lo…