Selecting Parameters of an Improved Doubly Regularized Support Vector Machine based on Chaotic Particle Swarm Optimization Algorithm. - Chuandong Qin; Zhenxia Xue; Quanxi Feng; Xiaoyang Huang (J. Univers. Comput. Sci., 2017)

A rough ν-twin support vector regression machine. - Zhenxia Xue; Roxin Zhang; Chuandong Qin; Xiaoqing Zeng (Appl. Intell., 2018)

An adaptive twin support vector regression machine based on rough and fuzzy set theories. - Zhenxia Xue; Roxin Zhang; Chuandong Qin; Xiaoqing Zeng (Neural Comput. Appl., 2020)

Predictive Analytics for Octane Number: A Novel Hybrid Approach of KPCA and GS-PSO-SVR Model. - Baosheng Li; Chuandong Qin (IEEE Access, 2021)

A Novel Hybrid Quantum Particle Swarm Optimization With Marine Predators for Engineering Design Problems. - Chuandong Qin; Baole Han (IEEE Access, 2022)

Application of large-scale L2-SVM for microarray classification. - Baosheng Li; Baole Han; Chuandong Qin (J. Supercomput., 2022)

Fast brain tumor detection using adaptive stochastic gradient descent on shared-memory parallel environment. - Chuandong Qin; Baosheng Li; Baole Han (Eng. Appl. Artif. Intell., 2023)

A novel hybrid particle swarm optimization with marine predators. - Baole Han; Baosheng Li; Chuandong Qin (Swarm Evol. Comput., 2023)

1-D CNNs with lock-free asynchronous adaptive stochastic gradient descent algorithm for classification of astronomical spectra. - Chuandong Qin; Yu Cao (Computing, 2024)

Large-scale machine learning with synchronous parallel adaptive stochastic variance reduction gradient descent for high-dimensional blindness detection on spark. - Chuandong Qin; Yiqing Zhang; Yu Cao (J. Supercomput., 2025)

A stochastic recursive gradient algorithm integrating momentum and the powerball function with adaptive step sizes. - Chuandong Qin; Zilin Cai; Yuhang Guo (Int. J. Mach. Learn. Cybern., 2025)