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Shibo Gao
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2020 – today
- 2023
- [c8]Shibo Gao, Jinmeng Gong, Peipei Yang, Chao Liang, Linlin Huang:
A Stable Long-Term Tracking Method for Group-Housed Pigs. ICIG (2) 2023: 238-249 - 2022
- [j4]Jiejun Xie, Pengcheng Hu, Shibo Gao, Jihong Chen, Huicheng Zhou, Jianzhong Yang:
Efficient Cutting Power Modeling of Three-Axis Milling Based on Transfer Learning and Neural Network. IEEE Access 10: 64451-64464 (2022) - [j3]Shenghua Zhou, Linhai Wang, Ran Liu, Yidi Chen, Xiaojun Peng, Xiaoyang Xie, Jian Yang, Shibo Gao, Xuehui Shao:
Signal Source Localization with Long-Term Observations in Distributed Angle-Only Sensors. Sensors 22(24): 9655 (2022) - 2021
- [c7]Jia Wei Tang, Weifeng Liu, Seng Wang, Shibo Gao:
Path planning and hunting control of multiple dynamic targets based on event-triggered strategy. ICCAIS 2021: 273-279 - [c6]Zhi Zhao, Weifeng Liu, Sen Wang, Shibo Gao:
Large-Batch and Multi-Structure Group Targets Tracking Based on Serial GLMB. ICCAIS 2021: 949-954 - 2020
- [c5]Pengqi Hao, Min Yang, Shibo Gao, Kunning Sun, Dan Tao:
Fine-Grained PM2.5 Detection Method based on Crowdsensing. ICCE-TW 2020: 1-2
2010 – 2019
- 2019
- [c4]Lei Li, Pengfei Li, Meng Yang, Shibo Gao:
Multi-branch Semantic GAN for Infrared Image Generation from Optical Image. IScIDE (1) 2019: 484-494 - 2017
- [c3]Ruiguang Hu, Mengxi Hao, Songzhi Jin, Hao Wang, Shibo Gao, Liping Xiao:
Multi-Task Linear Dependency Modeling for drug-related webpages classification. FUSION 2017: 1-7 - 2013
- [c2]Shibo Gao, Yizhou Yu, Yongmei Cheng:
Linear Subspace Learning based on a Learned Discriminative Dictionary for Sparse Coding. VISAPP (1) 2013: 530-538 - 2011
- [j2]Yongqiang Zhao, Guohua Zhang, Feiran Jie, Shibo Gao, Chao Chen, Quan Pan:
Unsupervised Classification of Spectropolarimetric Data by Region-Based Evidence Fusion. IEEE Geosci. Remote. Sens. Lett. 8(4): 755-759 (2011) - 2010
- [j1]Zhengjun Cheng, Yuntao Zhang, Changhong Zhou, Wenjun Zhang, Shibo Gao:
Classification of Skin Sensitizers on the Basis of Their Effective Concentration 3 Values by Using Adaptive Boosting Method. J. Digit. Content Technol. its Appl. 4(2): 109-121 (2010) - [c1]Shibo Gao, Yuntao Zhang:
Optimization of the aggregation in AdaBoost algorithm by particle swarm optimization and its application in classification problems. ICNC 2010: 4147-4151
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