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Jun Cheng

2 papers indexed

openalexComplex & Intelligent Systems2026-07-26

An ensemble learning feature selection and heterogeneous fusion XGBoost algorithm for arrhythmia classification

Feng Qi, Du-cheng Shi, Er-quan Li, Xiao-li Wang, Jun Cheng

The intelligent classification of electrocardiogram (ECG) signals is of great significance in the early diagnosis and intervention of cardiovascular diseases. However, challenges such as feature redundancy and data imbalance often result in reduced classification accuracy. To add…

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arxivphysics.chem-phcond-mat.mtrl-scics.LG2026-07-16

Full-data accuracy with fewer labels for training and fine-tuning machine-learning force fields

Sheng Bi, Yi-Ze Wang, Jun Cheng

Machine-learning force fields (MLFFs) are reliable only near their training distribution, making efficient construction of diverse training sets a major bottleneck for both train-from-scratch and foundation fine-tuning workflows. Active learning can reduce this cost, but standard…

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