Yingyu Zhang
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Random Segment Extraction: A Simple Yet Effective Data Augmentation Strategy for Music Genre Classification
This version is not peer-reviewed. Yingyu Zhang †,Pu Qu *,† Yingyu Zhang †,Pu Qu *,† † These authors contributed equally to this work. Submitted: 29 September 2026 Posted: 30 September 2026 You are already at the latest version Training deep neural networks on limited music datasets remains prone to overfitting.
Engineered Allosteric Biosensor for In Situ DNA Glycosylase Detection in Neuroblastoma Risk Stratification and Drug Resistance Monitoring
1 Introduction Neuroblastoma (NB) is the most common extracranial solid malignancy in children, representing 6% – 10% of all pediatric cancers but accounting for 15% of childhood cancer-related deaths [1, 2]. NB exhibits extreme heterogeneity: a subset of tumors may undergo spontaneous regression without intervention, whereas the majority of cases present with widespread systemic metastasis at diagnosis and progress rapidly, resulting in poor patient outcomes [3, 4].
A Hybrid Quantum–Classical Algorithm for k -SAT via Grover-Enhanced Local Search
Submitted: 16 September 2026 Posted: 16 September 2026 You are already at the latest version The \(k\)-SAT problem is a canonical NP-complete problem for which no efficient algorithm is known. This paper proposes a hybrid quantum–classical algorithm that employs Grover's algorithm as the inner local search of a randomized outer loop.
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