Improved support vector machine algorithm for heterogeneous data. - Shili Peng; Qinghua Hu; Yinli Chen; Jianwu Dang (Pattern Recognit., 2015)

Stochastic Sequential Minimal Optimization for Large-Scale Linear SVM. - Shili Peng; Qinghua Hu; Jianwu Dang 001; Zhichao Peng (ICONIP (1), 2017)

Optimal feasible step-size based working set selection for large scale SVMs training. - Shili Peng; Qinghua Hu; Jianwu Dang; Wenwu Wang 001 (Neurocomputing, 2020)

Regression-Based Hyperparameter Learning for Support Vector Machines. - Shili Peng; Wenwu Wang 001; Yinli Chen; Xueling Zhong; Qinghua Hu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multi-Kernel Learning for Heterogeneous Data. - Chunlan Liao; Shili Peng (IEEE Access, 2025)