研究成果
一. 第一作者发表SCI论文28篇
1. Zhiyu Zhou, Haodong Ji, Zefei Zhu. Online sequential fuzzy dropout extreme learning machine compensate for sliding-mode control system errors of uncertain robot manipulator. International Journal of Machine Learning and Cybernetics, ACCEPT(4.012 (2020) Impact factor)
2. Zhiyu Zhou, Dexin Liu, Yaming Wang, Zefei Zhu. Illumination correction via optimized random vector functional link using improved harris hawks optimization. Multimedia Tools and Applications, ACCEPT
3. Zhiyu Zhou, Haodong Ji, Xingfan Yang. Illumination correction of dyed fabric based on extreme learning machine with improved ant lion optimizer. Color Research and Application. DOI: 10.1002/col.22785.
4. Zhiyu Zhou, Xingfan Yang, Zefei Zhu, Yaming Wang, Dexin Liu. Color constancy with an optimized regularized random vector functional link based on an improved equilibrium optimizer. Journal of the Optical Society of America A, 2022, 39(3): 482-493.
5. Zhiyu Zhou, Wenxiong Deng, Yaming Wang, Zefei Zhu. Classification of clothing images based on a parallel convolutional neural network and random vector functional link optimized by the grasshopper optimization algorithm. Textile Research Journal. DOI: 10.1177/00405175211059207.
6. Zhiyu Zhou, Wenxiong Deng, Zefei Zhu, Yaming Wang, Jiayou Du, Xiangqi Liu. Fabric defect detection based on feature fusion of a convolutional neural network and optimized extreme learning machine. Textile Research Journal. 2021, DOI:10.1177/00405175211044794
7. Zhiyu Zhou, Zijian Ma, Zefei Zhu, Yaming Wang. Objective rating of fabric wrinkles via random vector functional link based on the improved salp swarm algorithm. Textile Research Journal, 2022, 92(1-2): 70-90.
8. Zhiyu Zhou, Dexin Liu, Jianxin Zhang, Zefei Zhu, Donghe Yang, Likai Jiang. Colour difference classification for dyed fabrics based on differential evolution with dynamic parameter selection to optimise the output regularisation extreme learning machine. Fibres & Textiles in Eastern Europe, 2021,29, 3(147): 97-102.
9. Zhiyu Zhou, Bangyao Wu. Adaptive sliding mode control of manipulators based on fuzzy random vector function links for friction compensation. OPTIK,2021, 227: 166055.
10. Zhiyu Zhou, Dexin Liu, Jiushen Guo, Jianxin Zhang, Zefei Zhu, Chao Wang. Dyed fabric illumination estimation with regularized random vector function link network. Color Res Appl. 2021, 46(2): 376-387.
11. Zhiyu Zhou, Ruoxi Zhang, Jianxin Zhang, Yaming Wang, Zefei Zhu, Chengxia Liu. Fabric wrinkle level classification via online sequential extreme learning machine based on improved sine cosine algorithm. Textile Research Journal, 2020, 90(17-18): 2007-2021.
12. Zhiyu Zhou, Chao Wang, Jianxin Zhang, Zefei Zhu. Color difference classification of solid color printing and dyeing products based on optimization of the extreme learning machine of the improved whale optimization algorithm. Textile Research Journal, 2020, 90(2): 135-155.
13. Zhiyu Zhou, Xu Gao, Jianxin Zhang, Zefei Zhu, Xudong Hu. A novel hybrid model using the rotation forest-based differential evolution online sequential extreme learning machine for illumination correction of dyed fabrics, Textile Research Journal, 2019, 89(7): 1180-1197.
14. Zhiyu Zhou, Xu Gao, Zefei Zhu, Xudong Hu. Illumination correction of dyed fabrics method using rotation forest-based ensemble particle swarm optimization and sparse least squares support vector regression. Color Research and Application, 2019, 44(1):73-87.
15. Zhiyu Zhou, Chao Wang, Zefei Zhu, Yaming Wang, Donghe Yang. Sliding mode control based on a hybrid grey-wolf-optimized extreme learning machine for robot manipulators. OPTIK, 2019,185:364-380.
16. Zhiyu Zhou, Chao Wang, Xu Gao, Zefei Zhu, Xudong Hu, Xiao Zheng, Likai Jiang. Fabric defect detection and classifier via multi-scale dictionary learning and an adaptive differential evolution optimized regularization extreme learning machine. Fibres & Textiles in Eastern Europe, 2019, 27, 1 (133):67-77. DOI: 10.5604/01.3001.0012.7510.
17. Zhiyu Zhou, Ji Chen, Zefei Zhu. Regularization incremental extreme learning machine with random reduced kernel for regression. Neurocomputing, 2018, 321: 72-81.
18. Zhiyu Zhou, Junjie Wang, Yaming Wang, Zefei Zhu, Jiayou Du, Xiangqi Liu, Jiaxin Quan. Visual tracking using improved multiple instance learning with co-training framework for moving robot. KSII Transactions on Internet and Information Systems, 2018, 12(11): 5496-5521. DOI: 10.3837/tiis.2018.11.018
19. Zhiyu Zhou, Hanxuan Guo, Yaming Wang, Zefei Zhu, Jiang Wu, Xiangqi Liu. Inverse kinematics solution for robotic manipulator based on extreme learning machine and sequential mutation genetic algorithm. International Journal of Advanced Robotic Systems, 2018, 15(4): 1729881418792992.
20. Zhiyu Zhou, Xu Gao, Jingsong Xia, Zefei Zhu, Donghe Yang, Jiaxin Quan. Multiple instance learning tracking based on fisher linear discriminant with incorporated priors. International Journal of Advanced Robotic Systems, 2018, 15(1):1729881417750724.
21. Zhiyu Zhou, Ruoxi Zhang, Yaming Wang, Zefei Zhu, Jianxin Zhang. Color difference classification based on optimization support vector machine of improved grey wolf algorithm. OPTIK, 2018, 170: 17-29.
22. Zhiyu Zhou, Junjie Wang, Zefei Zhu, Donghe Yang, Jiang Wu. Tangent navigated robot path planning strategy using particle swarm optimized artificial potential field. OPTIK,2018, 158:639-651.
23. Zhiyu Zhou, Ji Chen, Yacheng Song*, Zefei Zhu, Xiangqi Liu. RFSEN-ELM: Selective ensemble of extreme learning machines using rotation forest for image classification, Neural Network World, 2017, 27(5): 499-517.
24. Zhiyu Zhou, Yacheng Song, Zefei Zhu, Donghe Yang. Scene categorization based on compact SPM and ensemble of extreme learning machines. OPTIK, 2017, 140: 964-974.
25. Zhiyu Zhou, Rui Xu, Dichong Wu, Zefei Zhu, Haiyan Wang. Illumination correction of dyed fabrics approach using Bagging-based ensemble particle swarm optimization–extreme learning machine. Optical Engineering, 55(9),093102(2016).
26. Zhiyu Zhou, Rui Xu, Dichong Wu, Zefei Zhu, Haiyan Wang. Illumination correction of dyeing products based on Grey-edge and kernel extreme learning machine. OPTIK, 2016,127 (19) :7978-7985.
27. Zhiyu Zhou, Dichong Wu, Zefei Zhu. Stereo matching using dynamic programming based on differential smoothing. OPTIK, 2016,127(4):2287-2293.
28. Zhiyu Zhou, Dichong Wu, Zefei Zhu. Object tracking based on Kalman Particle Filter with LSSVR. OPTIK, 2016,127(2):613-619.
二. 项目
1. 参与浙江省重点研发项目“作业型海底管线检测无缆机器人的研制及示范应用” (No. 2021C03013), 2021.1-2023.12,7/35, 1040万
2. 主持浙江省自然科学基金项目 “基于极限学习机和视觉伺服的机械手目标跟踪与抓取” (编号:LY18F030018),2018.1-2020.12 ,10万, 排名1/6
3. 主持浙江省自然科学基金项目 “自然环境下基于立体视觉的机器人自主导航关键技术研究” (编号:LY13F030013),2013.1-2015.12 , 8万, 排名1/6
4. 主持浙江省自然科学基金项目 “基于灰色建模的目标视觉分析” (编号:Y1090256),2010.1-2011.12 , 8万, 排名1/7