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Chunhua Yang

2 accepted papers

2026

Consistency-Driven Calibration and Matching for Few-Shot Class Incremental Learning

ICLR 2026poster

Few-Shot Class Incremental Learning (FSCIL) is crucial for adapting to the complex open-world environments. Contemporary prospective learning-based space construction methods struggle to balance old and new knowledge, as prototype bias and rigid structures limit the expressive capacity of the embedd…

Cited by 0SourcecodeScholar
2025

Contrastive Learning-Based Secure Unsupervised Domain Adaptation Framework and its Application in Cross-Factory Intelligent Manufacturing

RA-L 2025

Machine learning has been widely applied in industrial intelligent manufacturing. However, significant domain differences in data across factories make it difficult for models trained on a single factory dataset to achieve cross-factory reuse. Unsupervised Domain Adaptation is a method to address th

Cited by 2SourceScholar