PhD student, Nanjing University of Science and Technology
3 papers 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.
Dataset and Method for the Large-scale Universal Heterogeneous Graph.