Author

Qian-Li Zhou

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Preprint Aug 2026

Quantum Incremental Learning with Mixed State Prototypes

This work introduces a novel quantum incremental learning framework based on trainable mixed-state prototypes that achieves high-dimensional feature concentration using a minimal number of qubits, while demonstrating lower computational complexity and robust representation in incremental learning tasks compared with cl...

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