Author

Qian-Li Zhou

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Preprint Aug 2026

Quantum Incremental Learning with Mixed State Prototypes

Incremental learning models are required to learn new classes sequentially without catastrophic forgetting, while operating under parameter and memory constraints. In the Noisy Intermediate-Scale Quantum (NISQ) era, although quantum neural networks offer advantages in feature mapping, hardware limitations restrict circ...

Yu Wu, Qian-Li Zhou, Xin-Yang Deng et al. · 0 citations

Preprint Aug 2026

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning

This paper proposes DataRx, a missingness-aware sampling method for selecting safety-critical examples based on the hypothesis that a safety sample is more effective when the selected examples provide safety signals that fill the missing parts of LLMs'safety capabilities.

Junbo Zhang, Qianli Zhou, Xinyang Deng et al. · 0 citations

#machine learning Preprint Aug 2026

DOW-KE: Anchor-Free Multi-Layer Knowledge Editing via Direct End-to-End Weight Optimization

DOW-KE backpropagates the final editing objective through the complete model, jointly optimizing the updates of all edited layers so cross-layer propagation and coupling enter every gradient step, and achieves the highest overall Score and neighborhood Specificity among the evaluated baselines.

Ran Chen, Junbo Zhang, Qianli Zhou et al. · 0 citations