12 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.LG2025★ 12 cited
PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning
Yu Feng, Yangli-ao Geng, Yifan Zhu +7
Federated learning (FL) has gained widespread attention for its privacy-preserving and collaborative learning capabilities. Due to significant statistical heterogeneity, traditiona…
cs.CL2024★ 1 cited
CP-Prompt: Composition-Based Cross-modal Prompting for Domain-Incremental Continual Learning
Yu Feng, Zhen Tian, Yifan Zhu +4
The key challenge of cross-modal domain-incremental learning (DIL) is to enable the learning model to continuously learn from novel data with different feature distributions under…
cs.CL2024
CRE-LLM: A Domain-Specific Chinese Relation Extraction Framework with Fine-tuned Large Language Model
Zhengpeng Shi, Haoran Luo
Domain-Specific Chinese Relation Extraction (DSCRE) aims to extract relations between entities from domain-specific Chinese text. Despite the rapid development of PLMs in recent ye…