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Haomiao Qiu

2 accepted papers

2026

SplitLoRA: Balancing Stability and Plasticity in Continual Learning Through Gradient Space Splitting

ICLR 2026poster

Continual Learning (CL) requires a model to learn multiple tasks in sequence while maintaining both stability—preserving knowledge from previously learned tasks, and plasticity—effectively learning new tasks. Orthogonal projection has emerged as an effective and popular paradigm in CL, where it part…

Cited by 0SourcecodeScholar
2025

Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning

NeurIPS 2025poster

Continual Learning (CL) aims to enable models to continuously acquire new knowledge from a sequence of tasks with avoiding the forgetting of learned information. However, existing CL methods only rely on the parameters of the most recent task for inference, which makes them susceptible to catastroph…

Cited by 0SourcecodeScholar