Author

Nan-Nan Wang

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#machine learning Feb 2026

Task-Driven Subspace Decomposition for Knowledge Sharing and Isolation in LoRA-based Continual Learning

Low-rank Decomposition and Adaptation (LoDA) performs a task-driven decomposition to build general and truly task-specific LoRA subspaces by solving two energy-based objectives, decoupling directions for knowledge sharing and isolation.

Ling-Feng He, De Cheng, Huai-Jie Wang et al. · arXiv.org · 12 citations · ⚡2

Preprint Sep 2026

PAPT++: Risk-Aware Adversarial Tuning and Generation for Single Domain Generalization

PAPT++ is introduced, a risk-aware adversarial generation-training framework for SDG that progressively exposes the classifier to challenging yet semantically consistent variations.

Zhi-Peng Xu, De Cheng, Xinyang Jiang et al. · 0 citations

Aug 2026

Continual Low-Rank Adaptation Via Cumulative Unified Optimization.

This work reformulates LoRA-based CL as a consistent feature mapping problem that mimics the behavior of the joint-training upper bound, wherein a unified adaptation parameter matrix is learned to simultaneously capture the input-output relationships established by all task-specific LoRAs.

Yue Lu, Shi-Zhou Zhang, De Cheng et al. · IEEE Transactions on Pattern... · 0 citations