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Journal Articles
- 2024
[j4]Benyi Yang
, Xiaozhou Zhu, Yibing Liu, Jiexin Zhou, Shuaixin Li, Hai Zhu, Wen Yao:
Bridge the Spatial Semantic Gap: Multiattention Shape Adaptive Network for Infrared Target Segmentation. IEEE Trans. Instrum. Meas. 73: 1-14 (2024)- 2023
- [j3]Shiyang Liang, Siwei Liu, Junliang Song, Qiang Lin, Shihong Zhao, Shuaixin Li, Jiahui Li, Shangsong Liang, Jingjie Wang:
HMCDA: a novel method based on the heterogeneous graph neural network and metapath for circRNA-disease associations prediction. BMC Bioinform. 24(1): 335 (2023) - [j2]Shuaixin Li, Bin Tian, Xiaozhou Zhu, Jianjun Gui, Wen Yao, Guangyun Li:
InTEn-LOAM: Intensity and Temporal Enhanced LiDAR Odometry and Mapping. Remote. Sens. 15(1): 242 (2023) - 2021
- [j1]Shuaixin Li, Li Wang, Jiuren Li, Bin Tian, Long Chen, Guangyun Li:
3D LiDAR/IMU Calibration Based on Continuous-Time Trajectory Estimation in Structured Environments. IEEE Access 9: 138803-138816 (2021)
Conference and Workshop Papers
- 2018
- [c1]Yanglin Zhou, Guangyun Li, Li Wang, Shuaixin Li, Wenpeng Zong:
Smartphone-based Pedestrian Localization Algorithm using Phone Camera and Location Coded Targets. UPINLBS 2018: 1-7
Informal and Other Publications
- 2024
- [i2]Zhang Xiao, Shuaixin Li:
A real-time, robust and versatile visual-SLAM framework based on deep learning networks. CoRR abs/2405.03413 (2024) - 2022
- [i1]Shuaixin Li, Bin Tian, Xiaozhou Zhu, Jianjun Gui, Yao Wen, Guangyun Li:
InTEn-LOAM: Intensity and Temporal Enhanced LiDAR Odometry and Mapping. CoRR abs/2209.05708 (2022)
Coauthor Index
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