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2020 – today
- 2024
[j25]Maosong Peng, Xiuxi Wei
, Huajuan Huang:
A chaotic adaptive butterfly optimization algorithm. Evol. Intell. 17(1): 493-511 (2024)- [j24]Xiuxi Wei, Zhihui Zhang, Huajuan Huang, Yongquan Zhou:
An overview on deep clustering. Neurocomputing 590: 127761 (2024) - [j23]Huajuan Huang, Chen Wang, Xiuxi Wei, Yongquan Zhou:
Deep image clustering: A survey. Neurocomputing 599: 128101 (2024) - [j22]Huajuan Huang, Zhenhua Yao, Xiuxi Wei, Yongquan Zhou:
Twin support vector machines based on chaotic mapping dung beetle optimization algorithm. J. Comput. Des. Eng. 11(3): 101-110 (2024) - 2023
- [j21]Jiaming Chen, Qifang Luo, Yongquan Zhou, Huajuan Huang:
Firefighting multi strategy marine predators algorithm for the early-stage Forest fire rescue problem. Appl. Intell. 53(12): 15496-15515 (2023) - [j20]Huajuan Huang, Zepeng Liao, Xiuxi Wei, Yongquan Zhou:
Combined Gaussian Mixture Model and Pathfinder Algorithm for Data Clustering. Entropy 25(6): 946 (2023) - [j19]Xiuxi Wei, Maosong Peng, Huajuan Huang, Yongquan Zhou:
An overview on density peaks clustering. Neurocomputing 554: 126633 (2023) - [j18]Bo Liu, Yongquan Zhou, Qifang Luo, Huajuan Huang:
Quantum-inspired African vultures optimization algorithm with elite mutation strategy for production scheduling problems. J. Comput. Des. Eng. 10(4): 1767-1789 (2023) - [c15]Huajuan Huang, Shixian Huang, Xiuxi Wei, Yongquan Zhou:
GM(1,1) Model Based on Parallel Quantum Whale Algorithm and Its Application. ICIC (2) 2023: 785-797 - [c14]Xiuxi Wei, Haixuan He, Huajuan Huang, Yongquan Zhou:
3D Path Planning Based on Improved Teaching and Learning Optimization Algorithm. ICIC (2) 2023: 798-809 - 2022
- [j17]Hui Liu, Guo Zhou, Yongquan Zhou, Huajuan Huang, Xiuxi Wei:
An RBF neural network based on improved black widow optimization algorithm for classification and regression problems. Frontiers Neuroinformatics 16 (2022) - [j16]Xiangmin Zhang, Yongquan Zhou, Huajuan Huang, Qifang Luo:
Enhanced Salp Search Algorithm for Optimization Extreme Learning Machine and Application to Dew Point Temperature Prediction. Int. J. Comput. Intell. Syst. 15(1): 98 (2022) - [j15]Huajuan Huang, Xiuxi Wei, Yongquan Zhou:
An overview on twin support vector regression. Neurocomputing 490: 80-92 (2022) - [j14]Huajuan Huang, Xiuxi Wei, Yongquan Zhou:
A Binary PSO-Based Model Selection for Novel Smooth Twin Support Vector Regression. Int. J. Swarm Intell. Res. 13(1): 1-19 (2022) - [c13]Chuchu Yu, Huajuan Huang, Xiuxi Wei:
Tunicate Swarm Algorithm Based Difference Variation Flower Pollination Algorithm. ICIC (1) 2022: 80-96 - [c12]Pengcheng Zou, Huajuan Huang, Xiuxi Wei:
A Multi-strategy Improved Fireworks Optimization Algorithm. ICIC (1) 2022: 97-111 - [c11]Lvyang Ye, Huajuan Huang, Xiuxi Wei:
Optimization Improvement and Clustering Application Based on Moth-Flame Algorithm. ICIC (3) 2022: 769-784 - [c10]Dao Tao, Xiuxi Wei, Huajuan Huang:
Application of Improved Fruit Fly Optimization Algorithm in Three Bar Truss. ICIC (3) 2022: 785-801 - [c9]Yan Shi, Yongquan Zhou, Qifang Luo, Huajuan Huang:
Complex-Valued Crow Search Algorithm for 0-1 KP Problem. ICIC (3) 2022: 860-875 - 2021
- [j13]Jingyi Liu, Xiuxi Wei, Huajuan Huang:
An Improved Grey Wolf Optimization Algorithm and its Application in Path Planning. IEEE Access 9: 121944-121956 (2021) - [c8]Baofeng Zheng, Xiuxi Wei, Huajuan Huang:
An Improved Chicken Swarm Optimization Algorithm with Fireworks Factor. ICIC (1) 2021: 635-651 - [c7]Huajuan Huang, Xiuxi Wei, Yongquan Zhou:
Spatial Prediction of Stock Opening Price Based on Improved Whale Optimized Twin Support Vector Regression. ICIC (1) 2021: 694-706 - 2020
- [c6]Xiuxi Wei, Huajuan Huang, Weidong Tang:
Parameters Selection of Twin Support Vector Regression Based on Cloud Particle Swarm Optimization. ICIC (3) 2020: 388-399 - [c5]Huajuan Huang, Xiuxi Wei:
Multi-core Twin Support Vector Machines Based on Binary PSO Optimization. ICIC (3) 2020: 420-431
2010 – 2019
- 2019
- [j12]Guo Zhou, Yongquan Zhou, Huajuan Huang, Zhonghua Tang:
Functional networks and applications: A survey. Neurocomputing 335: 384-399 (2019) - 2018
- [j11]Huajuan Huang, Xiuxi Wei, Yongquan Zhou:
Twin support vector machines: A survey. Neurocomputing 300: 34-43 (2018) - 2017
- [c4]Xiuxi Wei, Huajuan Huang:
BPSO Optimizing for Least Squares Twin Parametric Insensitive Support Vector Regression. ICIC (3) 2017: 515-521 - 2016
- [j10]Yong Wang, Tao Wang, Cheng-Zhi Zhang, Huajuan Huang:
A New Stochastic Optimization Approach - Dolphin Swarm Optimization Algorithm. Int. J. Comput. Intell. Appl. 15(2): 1650011:1-1650011:23 (2016) - [j9]Huajuan Huang, Xiuxi Wei, Yongquan Zhou:
A sparse method for least squares twin support vector regression. Neurocomputing 211: 150-158 (2016) - 2015
- [j8]Shifei Ding, Huajuan Huang, Junzhao Yu, Han Zhao:
Research on the hybrid models of granular computing and support vector machine. Artif. Intell. Rev. 43(4): 565-577 (2015) - [c3]Xiuxi Wei, Huajuan Huang:
Granular Twin Support Vector Machines Based on Mixture Kernel Function. ICIC (3) 2015: 43-54 - 2014
- [j7]Shifei Ding, Junzhao Yu, Bingjuan Qi, Huajuan Huang:
An overview on twin support vector machines. Artif. Intell. Rev. 42(2): 245-252 (2014) - [j6]Fulin Wu, Shifei Ding, Huajuan Huang, Zhibin Zhu:
Mixed Kernel Twin Support Vector Machines Based on the Shuffled Frog Leaping Algorithm. J. Comput. 9(4): 947-955 (2014) - [j5]Shifei Ding, Huajuan Huang, Junzhao Yu, Fulin Wu:
Polynomial Smooth Twin Support Vector Machines Based on Invasive Weed Optimization Algorithm. J. Comput. 9(5): 1226-1233 (2014) - 2013
- [j4]Huajuan Huang, Shifei Ding, Hong Zhu, Xinzheng Xu:
Invasive Weed Optimization Algorithm for Optimizating the Parameters of Mixed Kernel Twin Support Vector Machines. J. Comput. 8(8): 2077-2084 (2013) - [j3]Shifei Ding, Junzhao Yu, Huajuan Huang, Han Zhao:
Twin Support Vector Machines Based on Particle Swarm Optimization. J. Comput. 8(9): 2296-2303 (2013) - [j2]Shifei Ding, Fulin Wu, Ru Nie, Junzhao Yu, Huajuan Huang:
Twin Support Vector Machines Based on Quantum Particle Swarm Optimization. J. Softw. 8(7): 1743-1750 (2013) - [j1]Huajuan Huang, Shi-Fei Ding, Zhong-Zhi Shi:
Primal least squares twin support vector regression. J. Zhejiang Univ. Sci. C 14(9): 722-732 (2013) - [c2]Shifei Ding, Huajuan Huang, Ru Nie:
Forecasting Method of Stock Price Based on Polynomial Smooth Twin Support Vector Regression. ICIC (1) 2013: 96-105
2000 – 2009
- 2008
- [c1]Yongquan Zhou, Bai Liu, Huajuan Huang, Xingqiong Wei:
Using Separable Functional Network for Function Approximation. GrC 2008: 855-858
Coauthor Index
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