Sheng Chen

EXIT: An EXplicit Interest Transfer Framework for Cross-Domain Recommendation

2024

Cross-domain recommendation has attracted substantial interest in industrial apps such as Meituan, which serves multiple business domains via knowledge transfer and meets the diverse interests of users. However, existing methods typically follow an implicit modeling …

Parameter-efficient fine-tuning in large language models: a survey of methodologies

2025 · Artificial Intelligence Review

The large language models, as predicted by scaling law forecasts, have made groundbreaking progress in many fields, particularly in natural language generation tasks, where they have approached or even surpassed human levels. However, the unprecedented …

HG-SFDA: HyperGraph Learning Meets Source-Free Unsupervised Domain Adaptation

2025 · IEEE Transactions on Image Processing

Source-Free unsupervised Domain Adaptation (SFDA) aims to classify target samples by only accessing a pre-trained source model and unlabelled target samples. Since no source data is available, transferring the knowledge from the source domain to …