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2020 – today
- 2024
[j11]Li Fu, Linfeng Shi
, Li Yan, Zhu Xi, Chen Juan, Linglong Zhu:
A Global-Local Feature Multilevel Fusion Network for Chip Defect Segmentation. IEEE Access 12: 17467-17480 (2024)- [j10]Kai Xu, Fu Li, Deji Chen, Linglong Zhu, Quan Wang:
Fusion of Lightweight Networks and DeepSort for Fatigue Driving Detection Tracking Algorithm. IEEE Access 12: 56991-57003 (2024) - [j9]Xu Liu, Xi Kan, Yonghong Zhang, Linglong Zhu, Qi Liu, Zhou Zhou, Guangyi Ma:
FSC-USNet: Fractional Snow Cover Retrieval on the Tibetan Plateau by Integrating Improved Attention Mechanisms. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 10083-10096 (2024) - [j8]Guangyi Ma, Linglong Zhu, Yonghong Zhang, Jie Huang, Qi Liu, Kenny Thiam Choy Lim Kam Sian:
An Improved Deep-Learning-Based Precipitation Estimation Algorithm Using Multitemporal GOES-16 Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j7]Yonghong Zhang, Sutong Geng, Guangyi Ma, Linglong Zhu, Qi Liu:
An Improvement Multitask Transformer Network for Dual-Polarization Radar Extrapolation. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - 2023
- [j6]Xi Kan, Zhengsong Lu, Yonghong Zhang, Linglong Zhu, Kenny Thiam Choy Lim Kam Sian, Jiangeng Wang, Xu Liu, Zhou Zhou, Haixiao Cao:
DSRSS-Net: Improved-Resolution Snow Cover Mapping from FY-4A Satellite Images Using the Dual-Branch Super-Resolution Semantic Segmentation Network. Remote. Sens. 15(18): 4431 (2023) - [j5]Guangyi Ma, Jie Huang, Yonghong Zhang, Linglong Zhu, Kenny Thiam Choy Lim Kam Sian, Yixin Feng, Tianming Yu:
A Deep Learning-Based Algorithm for Identifying Precipitation Clouds Using Fengyun-4A Satellite Observation Data. Sensors 23(15): 6832 (2023) - 2022
- [j4]Guangyi Ma, Linglong Zhu, Yonghong Zhang, Jie Huang, Yan Sun, Wei Tian:
Improvement of a Near-Real-Time Precipitation Estimation Algorithm Using Deep Learning. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j3]Jiangeng Wang, Linglong Zhu, Yonghong Zhang, Wei Huang, Kaida Song, Feng Tian:
Characterizing Spatiotemporal Patterns of Snowfall in the Kaidu River Basin from 2000-2020 Using MODIS Observations. Remote. Sens. 14(22): 5885 (2022) - 2021
- [j2]Linglong Zhu, Yonghong Zhang, Jiangeng Wang, Wei Tian, Qi Liu, Guangyi Ma, Xi Kan, Ya Chu:
Downscaling Snow Depth Mapping by Fusion of Microwave and Optical Remote-Sensing Data Based on Deep Learning. Remote. Sens. 13(4): 584 (2021)
2010 – 2019
- 2019
- [j1]Xi Kan, Linglong Zhu, Yonghong Zhang, Yuan Yuan:
Spatial-temporal variability of PM2.5 concentration in Xuzhou based on satellite remote sensing and meteorological data. Int. J. Sens. Networks 29(3): 181-191 (2019) - 2014
- [c4]Linglong Zhu, Yutao Wang, Neil T. Heffernan:
The Sequence of Action Model: Leveraging the Sequence of Attempts and Hints. EDM (Workshops) 2014 - 2013
- [c3]Hien Duong, Linglong Zhu, Yutao Wang, Neil T. Heffernan:
A prediction model that uses the sequence of attempts and hints to better predict knowledge: "Better to attempt the problem first, rather than ask for a hint". EDM 2013: 316-317 - 2012
- [c2]Linglong Zhu, Yang Xu, Paul Scerri, Han Liang:
An information sharing algorithm for large dynamic mobile multi-agent teams. AAMAS 2012: 1261-1262 - [c1]Yang Xu, Linglong Zhu, Xuemei Hu, Mengjun Yang:
Exploring the Importance of Information Relevance, Ontology and Utilities for Scalable Multi-agent Coordination. IAT 2012: 204-211
Coauthor Index
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