Author

Yizhou Yu

h-index 9 View on Semantic Scholar

We have 3 of 25 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#machine learning May 2026

Overcoming Catastrophic Forgetting in Visual Continual Learning with Reinforcement Fine-Tuning

This work proposes Retention-aware Policy Optimization (RaPO), a simple yet effective RFT method that mitigates forgetting through trajectory-level reward shaping, and comprehensively evaluates RaPO across five visual continual learning settings.

Meng Lou, Hanzhong Guo, Linwei Chen et al. · arXiv.org · 2 citations

#machine learning Preprint Sep 2026

CLARE: Scalable Class-Incremental Continual Learning via a Sparsity-Based Framework

This paper presents a novel sparsity-driven continual learning framework that operates in two stages: it first identifies a sparse, task-critical parameter mask via a sparsity-inducing objective, then performs mask-constrained fine-tuning by only optimizing parameters selected by the mask.

Yunxiang Fu, Meng Lou, Zicheng Liao et al. · 1 citation

#machine learning Preprint Aug 2026

One Adapter, Many Tasks: Task-Conditioned Feature Transformations for Continual Learning

FACET proposes an efficient replay-free task-conditioned feature consistency loss, aiming to mitigate catastrophic forgetting of the learned mixture distribution in the adapter's feature space, and demonstrates robust scalability.

Yunxiang Fu, Meng Lou, Yizhou Yu · 1 citation