Sentiment Analysis of Chinese Micro-Blog Based on Classification and Rich Features. - Jiayuan Ding; Yongquan Dong; Tongfei Gao; Zichen Zhang 002; Yali Liu (IEEE WISA, 2016)

A Hybrid Method Based on Cuckoo Search and Krill Herd Optimization with Differential Evolution. - Zichen Zhang 002; Yongquan Dong; Tongfei Gao (IEEE WISA, 2016)

Randomness-driven global particle swarm optimisation for unconstrained optimisation problems. - Zhen Hu; Dexuan Zou; Zichen Zhang 002; Xin Zhang; Xin Shen (Int. J. Wirel. Mob. Comput., 2018)

A hybrid optimization algorithm based on cuckoo search and differential evolution for solving constrained engineering problems. - Zichen Zhang 002; Shifei Ding; Weikuan Jia (Eng. Appl. Artif. Intell., 2019)

Electric Load Forecasting by Hybrid Self-Recurrent Support Vector Regression Model With Variational Mode Decomposition and Improved Cuckoo Search Algorithm. - Zichen Zhang 002; Wei-Chiang Hong; Junchi Li (IEEE Access, 2020)

Energy-based structural least squares MBSVM for classification. - Songhui Shi; Shifei Ding; Zichen Zhang 002; Weikuan Jia (Appl. Intell., 2020)

A support vector regression model hybridized with chaotic krill herd algorithm and empirical mode decomposition for regression task. - Zichen Zhang 002; Shifei Ding; Yuting Sun (Neurocomputing, 2020)

An optimized support vector regression for prediction of bearing degradation. - Chenglong Zhang 001; Shifei Ding; Yuting Sun; Zichen Zhang 002 (Appl. Soft Comput., 2021)

MBSVR: Multiple birth support vector regression. - Zichen Zhang 002; Shifei Ding; Yuting Sun (Inf. Sci., 2021)

Application of variational mode decomposition and chaotic grey wolf optimizer with support vector regression for forecasting electric loads. - Zichen Zhang 002; Wei-Chiang Hong (Knowl. Based Syst., 2021)

An improved grid search algorithm to optimize SVR for prediction. - Yuting Sun; Shifei Ding; Zichen Zhang 002; Weikuan Jia (Soft Comput., 2021)

Multiple birth support vector machine based on dynamic quantum particle swarm optimization algorithm. - Shifei Ding; Zichen Zhang 002; Yuting Sun; Songhui Shi (Neurocomputing, 2022)

An optimized twin support vector regression algorithm enhanced by ensemble empirical mode decomposition and gated recurrent unit. - Shifei Ding; Zichen Zhang 002; Lili Guo; Yuting Sun (Inf. Sci., 2022)

Hypergraph regularized semi-supervised support vector machine. - Yuting Sun; Shifei Ding; Lili Guo; Zichen Zhang 002 (Inf. Sci., 2022)

Hypergraph based semi-supervised support vector machine for binary and multi-category classifications. - Yuting Sun; Shifei Ding; Zichen Zhang 002; Chenglong Zhang 001 (Int. J. Mach. Learn. Cybern., 2022)

Maximum density minimum redundancy based hypergraph regularized support vector regression. - Shifei Ding; Yuting Sun; Jian Zhang 019; Lili Guo; Xiao Xu 006; Zichen Zhang 002 (Int. J. Mach. Learn. Cybern., 2023)

Multi-hyperplane twin support vector regression guided with fuzzy clustering. - Zichen Zhang 002; Wei-Chiang Hong; Yongquan Dong (Inf. Sci., 2024)

Mixed-GGNAS: Mixed Search-space NAS based on genetic algorithm combined with gradient descent for medical image segmentation. - Mengxiang Hu; Junchi Li; Yongquan Dong; Zichen Zhang 002; Weifan Liu; Peilin Zhang; Yuchao Ping; Le Jiang; Zekuan Yu (Expert Syst. Appl., 2025)

Bi-directional gated recurrent unit enhanced twin support vector regression with seasonal mechanism for electric load forecasting. - Zichen Zhang 002; Chenglong Zhang 001; Yongquan Dong; Wei-Chiang Hong (Knowl. Based Syst., 2025)

Long Short-Term Memory-Based Twin Support Vector Regression for Probabilistic Load Forecasting. - Zichen Zhang 002; Yongquan Dong; Wei-Chiang Hong (IEEE Trans. Neural Networks Learn. Syst., 2025)