A new method on similarity of fingerprints and its critical value determination. - Xiaoqin Zhang; Yunsheng Song (BMEI, 2011)

An efficient instance selection algorithm for k nearest neighbor regression. - Yunsheng Song; Jiye Liang; Jing Lu; Xingwang Zhao (Neurocomputing, 2017)

An accelerator for support vector machines based on the local geometrical information and data partition. - Yunsheng Song; Jiye Liang; Feng Wang 038 (Int. J. Mach. Learn. Cybern., 2019)

The Mechanism Analysis of the Accelerator for Support Vector Regression Based on Data Partition. - Yunsheng Song; Fangyi Li; Jianyu Liu; Juao Zhang (FSDM, 2020)

K-means Clustering Based Undersampling for Lower Back Pain Data. - Qian Zhou; Bo Sun; Yunsheng Song; Shuang Li (ICBDT, 2020)

An accelerator for the logistic regression algorithm based on sampling on-demand. - Jiye Liang; Yunsheng Song; Deyu Li; Zhiqiang Wang 005; Chuangyin Dang (Sci. China Inf. Sci., 2020)

Fast Training Logistic Regression via Adaptive Sampling. - Yunsheng Song; Xiaohan Kong; Shuoping Huang; Chao Zhang 015 (Sci. Program., 2021)

A Large-Scale k -Nearest Neighbor Classification Algorithm Based on Neighbor Relationship Preservation. - Yunsheng Song; Xiaohan Kong; Chao Zhang 015 (Wirel. Commun. Mob. Comput., 2022)

An Efficient Matching Algorithm for Question Answering System. - Jing Zhang; Xinyue Zhao; Jianing Huang; Yunsheng Song (FSDM, 2023)

Scalable Semi-Supervised Support Vector Machine Based on Adaptive Sampling. - Xinyue Zhao; Xiaoyang Sun; Jing Zhang; Yunsheng Song (FSDM, 2023)

Radial-based undersampling approach with adaptive undersampling ratio determination. - Bo Sun; Qian Zhou; Zhijun Wang; Peng Lan; Yunsheng Song; Shaomin Mu; Aifeng Li; Haiyan Chen 001; Peng Liu (Neurocomputing, 2023)

The Comprehensive Analysis of the Effect of Chinese Word Segmentation on Fuzzy-Based Classification Algorithms for Agricultural Questions. - Xinyue Zhao; Jianing Huang; Jing Zhang; Yunsheng Song (Int. J. Fuzzy Syst., 2024)