PhD student, Nanjing University of Science and Technology
1 paper at NeurIPS 2025
We propose LEBA, a framework that mitigates forgetting and enhances generalization in multi-domain continual learning via Schrödinger bridge-based optimization and progressive adapter ensembling.
