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Haibo Pu
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2020 – today
- 2024
- [j9]Danyang Li, Jie Liao, Hongbo Jiang, Kailin Jiang, Mingwei Chen, Bei Zhou, Haibo Pu, Jun Li:
A classification method of marine mammal calls based on two-channel fusion network. Appl. Intell. 54(4): 3017-3039 (2024) - 2021
- [j8]Ao Feng, Hongxiang Li, Zixi Liu, Yuanjiang Luo, Haibo Pu, Bin Lin, Tao Liu:
Research on a Rice Counting Algorithm Based on an Improved MCNN and a Density Map. Entropy 23(6): 721 (2021) - [j7]Hongxiang Li, Ao Feng, Bin Lin, Houcheng Su, Zixi Liu, Xuliang Duan, Haibo Pu, Yifei Wang:
A novel method for credit scoring based on feature transformation and ensemble model. PeerJ Comput. Sci. 7: e579 (2021) - [j6]Fei Pan, Hong Wen, Xuesong Gao, Haibo Pu, Zhibo Pang:
Clone Detection Based on BPNN and Physical Layer Reputation for Industrial Wireless CPS. IEEE Trans. Ind. Informatics 17(5): 3693-3702 (2021) - 2020
- [j5]Yuanzhou Yao, Haoyang Yu, Jiong Mu, Jun Li, Haibo Pu:
Estimation of the Gender Ratio of Chickens Based on Computer Vision: Dataset and Exploration. Entropy 22(7): 719 (2020) - [c5]Fei Pan, Xiaofan Li, Haibo Pu, Yan Guo, Jiangchuan Liu:
Physical Layer Authentication Based on Residual Network for Industrial Wireless CPSs. IECON 2020: 4368-4373
2010 – 2019
- 2019
- [c4]Mantao Wang, Qiang Huang, Jie Zhang, Zhiyong Li, Haibo Pu, Jinglan Lei, Lanjing Wang:
Deep Learning Approaches for Voice Activity Detection. CSIA 2019: 816-826 - [c3]Yunlu Lu, Xuefeng Tan, Mengting Luo, Linchao He, Haibo Pu:
Vehicle Safety Reminder System Based on Single Chip Microcomputer. DPTA 2019: 283-289 - 2018
- [c2]Yu Zhu, Jiong Mu, Haibo Pu, Baiyi Shu:
FRFB: Integrate Receptive Field Block Into Feature Fusion Net for Single Shot Multibox Detector. SKG 2018: 173-180 - 2014
- [j4]Ziqiang Li, Mingtian Zhou, Lijia Xu, Hao Lin, Haibo Pu:
Training sparse SVM on the core sets of fitting-planes. Neurocomputing 130: 20-27 (2014) - [j3]Jiong Mu, Lijia Xu, Haibo Pu:
Study on College Student Credit Evaluation and Prediction Based on RF Algorithm. J. Digit. Inf. Manag. 12(1): 26-30 (2014) - [j2]Ziqiang Li, Mingtian Zhou, Hao Lin, Haibo Pu:
A two stages sparse SVM training. Int. J. Mach. Learn. Cybern. 5(3): 425-434 (2014) - 2013
- [j1]Jiong Mu, Lijia Xu, Xuliang Duan, Haibo Pu:
Study on Customer Loyalty Prediction Based on RF Algorithm. J. Comput. 8(8): 2134-2138 (2013)
2000 – 2009
- 2008
- [c1]Jingyong Zeng, Hang Lei, Haibo Pu:
Evaluating the Effectiveness of Random and Partition Testing by Delivered Reliability. ICESS 2008: 496-502
Coauthor Index
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