Using Separable Functional Network for Function Approximation. - Yongquan Zhou; Bai Liu; Huajuan Huang; Xingqiong Wei (GrC, 2008)

Forecasting Method of Stock Price Based on Polynomial Smooth Twin Support Vector Regression. - Shifei Ding; Huajuan Huang; Ru Nie (ICIC (1), 2013)

Twin Support Vector Machines Based on Particle Swarm Optimization. - Shifei Ding; Junzhao Yu; Huajuan Huang; Han Zhao (J. Comput., 2013)

Invasive Weed Optimization Algorithm for Optimizating the Parameters of Mixed Kernel Twin Support Vector Machines. - Huajuan Huang; Shifei Ding; Hong Zhu 005; Xinzheng Xu (J. Comput., 2013)

Twin Support Vector Machines Based on Quantum Particle Swarm Optimization. - Shifei Ding; Fulin Wu; Ru Nie; Junzhao Yu; Huajuan Huang (J. Softw., 2013)

Primal least squares twin support vector regression. - Huajuan Huang; Shi-Fei Ding; Zhong-Zhi Shi (J. Zhejiang Univ. Sci. C, 2013)

An overview on twin support vector machines. - Shifei Ding; Junzhao Yu; Bingjuan Qi; Huajuan Huang (Artif. Intell. Rev., 2014)

Polynomial Smooth Twin Support Vector Machines Based on Invasive Weed Optimization Algorithm. - Shifei Ding; Huajuan Huang; Junzhao Yu; Fulin Wu (J. Comput., 2014)

Mixed Kernel Twin Support Vector Machines Based on the Shuffled Frog Leaping Algorithm. - Fulin Wu; Shifei Ding; Huajuan Huang; Zhibin Zhu (J. Comput., 2014)

Granular Twin Support Vector Machines Based on Mixture Kernel Function. - Xiuxi Wei; Huajuan Huang (ICIC (3), 2015)

Research on the hybrid models of granular computing and support vector machine. - Shifei Ding; Huajuan Huang; Junzhao Yu; Han Zhao (Artif. Intell. Rev., 2015)

A New Stochastic Optimization Approach - Dolphin Swarm Optimization Algorithm. - Yong Wang; Tao Wang; Cheng-Zhi Zhang; Huajuan Huang (Int. J. Comput. Intell. Appl., 2016)

A sparse method for least squares twin support vector regression. - Huajuan Huang; Xiuxi Wei; Yongquan Zhou (Neurocomputing, 2016)

BPSO Optimizing for Least Squares Twin Parametric Insensitive Support Vector Regression. - Xiuxi Wei; Huajuan Huang (ICIC (3), 2017)

Twin support vector machines: A survey. - Huajuan Huang; Xiuxi Wei; Yongquan Zhou (Neurocomputing, 2018)

Functional networks and applications: A survey. - Guo Zhou; Yongquan Zhou; Huajuan Huang; Zhonghua Tang (Neurocomputing, 2019)

Multi-core Twin Support Vector Machines Based on Binary PSO Optimization. - Huajuan Huang; Xiuxi Wei (ICIC (3), 2020)

Parameters Selection of Twin Support Vector Regression Based on Cloud Particle Swarm Optimization. - Xiuxi Wei; Huajuan Huang; Weidong Tang (ICIC (3), 2020)

Spatial Prediction of Stock Opening Price Based on Improved Whale Optimized Twin Support Vector Regression. - Huajuan Huang; Xiuxi Wei; Yongquan Zhou (ICIC (1), 2021)

An Improved Chicken Swarm Optimization Algorithm with Fireworks Factor. - Baofeng Zheng; Xiuxi Wei; Huajuan Huang (ICIC (1), 2021)

An Improved Grey Wolf Optimization Algorithm and its Application in Path Planning. - Jingyi Liu; Xiuxi Wei; Huajuan Huang (IEEE Access, 2021)

Complex-Valued Crow Search Algorithm for 0-1 KP Problem. - Yan Shi; Yongquan Zhou; Qifang Luo; Huajuan Huang (ICIC (3), 2022)

Application of Improved Fruit Fly Optimization Algorithm in Three Bar Truss. - Dao Tao; Xiuxi Wei; Huajuan Huang (ICIC (3), 2022)

Optimization Improvement and Clustering Application Based on Moth-Flame Algorithm. - Lvyang Ye; Huajuan Huang; Xiuxi Wei (ICIC (3), 2022)

Tunicate Swarm Algorithm Based Difference Variation Flower Pollination Algorithm. - Chuchu Yu; Huajuan Huang; Xiuxi Wei (ICIC (1), 2022)

A Multi-strategy Improved Fireworks Optimization Algorithm. - Pengcheng Zou; Huajuan Huang; Xiuxi Wei (ICIC (1), 2022)

An RBF neural network based on improved black widow optimization algorithm for classification and regression problems. - Hui Liu; Guo Zhou; Yongquan Zhou; Huajuan Huang; Xiuxi Wei (Frontiers Neuroinformatics, 2022)

Enhanced Salp Search Algorithm for Optimization Extreme Learning Machine and Application to Dew Point Temperature Prediction. - Xiangmin Zhang; Yongquan Zhou; Huajuan Huang; Qifang Luo (Int. J. Comput. Intell. Syst., 2022)

An overview on twin support vector regression. - Huajuan Huang; Xiuxi Wei; Yongquan Zhou (Neurocomputing, 2022)

A Binary PSO-Based Model Selection for Novel Smooth Twin Support Vector Regression. - Huajuan Huang; Xiuxi Wei; Yongquan Zhou (Int. J. Swarm Intell. Res., 2022)

GM(1,1) Model Based on Parallel Quantum Whale Algorithm and Its Application. - Huajuan Huang; Shixian Huang; Xiuxi Wei; Yongquan Zhou (ICIC (2), 2023)

3D Path Planning Based on Improved Teaching and Learning Optimization Algorithm. - Xiuxi Wei; Haixuan He; Huajuan Huang; Yongquan Zhou (ICIC (2), 2023)

Firefighting multi strategy marine predators algorithm for the early-stage Forest fire rescue problem. - Jiaming Chen; Qifang Luo; Yongquan Zhou; Huajuan Huang (Appl. Intell., 2023)

Combined Gaussian Mixture Model and Pathfinder Algorithm for Data Clustering. - Huajuan Huang; Zepeng Liao; Xiuxi Wei; Yongquan Zhou (Entropy, 2023)

Quantum-inspired African vultures optimization algorithm with elite mutation strategy for production scheduling problems. - Bo Liu; Yongquan Zhou; Qifang Luo; Huajuan Huang (J. Comput. Des. Eng., 2023)

An overview on density peaks clustering. - Xiuxi Wei; Maosong Peng; Huajuan Huang; Yongquan Zhou (Neurocomputing, 2023)

A chaotic adaptive butterfly optimization algorithm. - Maosong Peng; Xiuxi Wei; Huajuan Huang (Evol. Intell., 2024)

Deep image clustering: A survey. - Huajuan Huang; Chen Wang; Xiuxi Wei; Yongquan Zhou (Neurocomputing, 2024)

An overview on deep clustering. - Xiuxi Wei; Zhihui Zhang; Huajuan Huang; Yongquan Zhou (Neurocomputing, 2024)

Twin support vector machines based on chaotic mapping dung beetle optimization algorithm. - Huajuan Huang; Zhenhua Yao; Xiuxi Wei; Yongquan Zhou (J. Comput. Des. Eng., 2024)

Self-adaptive differential evolution-based coati optimization algorithm for multi-robot path planning. - Lun Zhu; Guo Zhou; Yongquan Zhou; Qifang Luo; Huajuan Huang; Xiuxi Wei (Robotica, 2025)