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Shuo Zhuang
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2020 – today
- 2024
- [j16]Meibin Qi, Qinxin Wang, Shuo Zhuang, Ke Zhang, Kunyuan Li, Yimin Liu, Yanfang Yang:
Exploring reliable infrared object tracking with spatio-temporal fusion transformer. Knowl. Based Syst. 284: 111234 (2024) - [j15]Xinlei Hu, Shuo Zhuang:
Large-Scale Spatial-Temporal Identification of Urban Vacant Land and Informal Green Spaces Using Semantic Segmentation. Remote. Sens. 16(2): 216 (2024) - [j14]Jiaqiu Ai, Weibao Xue, Yanan Zhu, Shuo Zhuang, Congan Xu, Hao Yan, Lifu Chen, Zhaocheng Wang:
AIS-PVT: Long-Time AIS Data Assisted Pyramid Vision Transformer for Sea-Land Segmentation in Dual-Polarization SAR Imagery. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - [j13]Kunyuan Li, Meibin Qi, Shuo Zhuang, Yimin Liu:
Polarized Prior Guided Fusion Network for Infrared Polarization Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j12]Yimin Liu, Meibin Qi, Yongle Zhang, Qiang Wu, Jingjing Wu, Shuo Zhuang:
Improving Consistency of Proxy-Level Contrastive Learning for Unsupervised Person Re-Identification. IEEE Trans. Inf. Forensics Secur. 19: 6910-6922 (2024) - 2023
- [j11]Houhong Xiang, Meibin Qi, Baixiao Chen, Shuo Zhuang:
Signal separation and super-resolution DOA estimation based on multi-objective joint learning. Appl. Intell. 53(11): 14565-14578 (2023) - [i1]Di Wang, Jun-Zhi Shi, Pingping Wang, Shuo Zhuang, Hongyue Li:
Loss-Controlling Calibration for Predictive Models. CoRR abs/2301.04378 (2023) - 2022
- [j10]Shuo Zhuang, Ping Wang, Gang Wang, Di Wang, Jinyong Chen, Feng Gao:
Improving Remote Sensing Image Captioning by Combining Grid Features and Transformer. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j9]Meibin Qi, Liu Liu, Shuo Zhuang, Yimin Liu, Kunyuan Li, Yanfang Yang, Xiaohong Li:
FTC-Net: Fusion of Transformer and CNN Features for Infrared Small Target Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 8613-8623 (2022) - 2020
- [j8]Di Wang, Ping Wang, Cong Wang, Shuo Zhuang, Jun-Zhi Shi:
A conformal prediction inspired approach for distribution regression with random Fourier features. Appl. Soft Comput. 97(Part B): 106807 (2020) - [j7]Shuo Zhuang, Ping Wang, Boran Jiang, Maosong Li:
Learned features of leaf phenotype to monitor maize water status in the fields. Comput. Electron. Agric. 172: 105347 (2020) - [j6]Di Wang, Ping Wang, Shuo Zhuang, Cong Wang, Jun-Zhi Shi:
Asymptotic analysis of locally weighted jackknife prediction. Neurocomputing 417: 10-22 (2020)
2010 – 2019
- 2019
- [j5]Kaibo Fan, Ping Wang, Shuo Zhuang:
Human fall detection using slow feature analysis. Multim. Tools Appl. 78(7): 9101-9128 (2019) - [j4]Shuo Zhuang, Ping Wang, Boran Jiang, Gang Wang, Cong Wang:
A Single Shot Framework with Multi-Scale Feature Fusion for Geospatial Object Detection. Remote. Sens. 11(5): 594 (2019) - [j3]Boran Jiang, Ping Wang, Shuo Zhuang, Maosong Li, Zhenfa Li, Zhihong Gong:
Leaf Counting with Multi-Scale Convolutional Neural Network Features and Fisher Vector Coding. Symmetry 11(4): 516 (2019) - 2018
- [j2]Boran Jiang, Ping Wang, Shuo Zhuang, Maosong Li, Zhenfa Li, Zhihong Gong:
Detection of maize drought based on texture and morphological features. Comput. Electron. Agric. 151: 50-60 (2018) - 2017
- [j1]Shuo Zhuang, Ping Wang, Boran Jiang, Maosong Li, Zhihong Gong:
Early detection of water stress in maize based on digital images. Comput. Electron. Agric. 140: 461-468 (2017)
Coauthor Index
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