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Qing-Yong Li

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Conference Open access Sep 2026

MOBO: A Merging-Oriented Bi-Level Optimization Framework for Class Incremental Learning

Class-Incremental Learning (CIL) aims to enable models to sequentially learn new tasks while retaining knowledge from previous ones. Recently, merging-based pre-trained CIL methods have gained significant attention due to their competitive performance and high inference efficiency. However, most existing approaches dec...

Si-Yu Zhang, Wen Wang, Wen-Ju Sun et al. · 0 citations
Aug 2026

Co$^{2}$ In: a Bi-level Memory Incremental Learning Framework with Knowledge Encoding, Consolidation, and Integration.

Incremental learning (IL) aims to continually acquire new knowledge (plasticity) while retaining previously learned information (stability). However, striking a balance between plasticity and stability remains a significant challenge for intelligent systems. The human brain achieves exceptional balance, owing to variou...

Wenju Sun, Qingyong Li, Boyang Li et al. · 0 citations

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