Professor, National University of Defense Technology
2 papers at NeurIPS 2025
we propose Continuous Subspace Optimization for Continual Learning (CoSO) to fine-tune the pre-trained models in a series of subspaces rather than a single one.
To tackle the complex yet highly practical challenges, we propose a Theory-Driven Label-Specific Representation (TDLSR) framework.
