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Haobo Yang
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2020 – today
- 2024
- [j7]Xiaodong Zhang, Xianwei Li
, Guanzhou Chen, Puyun Liao
A Deep Transfer Learning Framework Using Teacher-Student Structure for Land Cover Classification of Remote-Sensing Imagery. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j6]Feng Xiao, Haobo Yang, Bo Wei:
A control-oriented LPV model of large-scale offshore wind turbines for deloading operation. Int. J. Parallel Emergent Distributed Syst. 39(4): 486-500 (2024) - [j5]Luming Kong, Feng Xiao, Haobo Yang, Bo Wei:
Modelling of linear large-capacity wind turbines with application to distributed control in wind farms. Int. J. Parallel Emergent Distributed Syst. 39(5): 542-556 (2024) - [j4]Puyun Liao
S2Net: A Multitask Learning Network for Semantic Stereo of Satellite Image Pairs. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [i4]Haobo Yang:
Comparison of Encryption Algorithms for Wearable Devices in IoT Systems. CoRR abs/2409.00816 (2024) - [i3]Haobo Yang, Shiyan Zhang, Zhuoyi Yang, Xinyu Zhang, Li Wang, Yifan Tang, Jilong Guo, Jun Li:
Entropy Loss: An Interpretability Amplifier of 3D Object Detection Network for Intelligent Driving. CoRR abs/2409.00839 (2024) - 2023
- [j3]Peihua Cai, Guanzhou Chen
Detecting Individual Plants Infected with Pine Wilt Disease Using Drones and Satellite Imagery: A Case Study in Xianning, China. Remote. Sens. 15(10): 2671 (2023) - [i2]Haobo Yang, Shiyan Zhang, Zhuoyi Yang, Xinyu Zhang:
Eloss in the way: A Sensitive Input Quality Metrics for Intelligent Driving. CoRR abs/2302.00986 (2023) - [i1]Haobo Yang, Wenyu Wang, Ze Cao, Zhekai Duan, Xuchen Liu:
InDL: A New Datasets and Benchmark for In-Diagram Logic Interpreting based on Visual Illusion. CoRR abs/2305.17716 (2023) - 2021
- [j2]Guiduo Duan, Haobo Yang, Ke Qin, Tianxi Huang
Improving Neural Machine Translation Model with Deep Encoding Information. Cogn. Comput. 13(4): 972-980 (2021) - [j1]Zongyang Xiong, Ke Qin
Learning Chinese word representation better by cascade morphological n-gram. Neural Comput. Appl. 33(8): 3757-3768 (2021)
2010 – 2019
- 2019
- [c1]Haobo Yang, Zongyang Xiong, Jiexin Zhang, Ke Qin, Guoming Lu:
Cascade Morphological n-Gram Can Improve Chinese Words Representation Learning. iThings/GreenCom/CPSCom/SmartData 2019: 842-847
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last updated on 2024-10-07 01:22 CEST by the dblp team
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