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Shuangzhi Yu
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2020 – today
- 2024
- [j3]Shuangzhi Yu, Jiankun Peng, Yuming Ge, Xinlian Yu, Fan Ding, Shen Li, Charlie Ma:
A traffic state prediction method based on spatial-temporal data mining of floating car data by using autoformer architecture. Comput. Aided Civ. Infrastructure Eng. 39(18): 2774-2787 (2024) - 2023
- [j2]Baiying Lei
, Yun Zhu, Shuangzhi Yu, Huoyou Hu, Yanwu Xu, Guanghui Yue, Tianfu Wang, Cheng Zhao
Multi-scale enhanced graph convolutional network for mild cognitive impairment detection. Pattern Recognit. 134: 109106 (2023) - 2022
- [j1]Baiying Lei
Longitudinal study of early mild cognitive impairment via similarity-constrained group learning and self-attention based SBi-LSTM. Knowl. Based Syst. 254: 109466 (2022) - 2021
- [c4]Yali Qiu, Shuangzhi Yu, Yanhong Zhou, Dongdong Liu, Xuegang Song, Tianfu Wang, Baiying Lei:
Multi-channel Sparse Graph Transformer Network for Early Alzheimer's Disease Identification. ISBI 2021: 1794-1797 - 2020
- [c3]Shuangzhi Yu, Shuqiang Wang
Multi-scale Enhanced Graph Convolutional Network for Early Mild Cognitive Impairment Detection. MICCAI (7) 2020: 228-237
2010 – 2019
- 2019
- [c2]Nina Cheng, Ahmed El-Azab
Low Rank Self-calibrated Brain Network Estimation and Autoweighted Centralized Multi-Task Learning for Early Mild Cognitive Impairment Diagnosis. EMBC 2019: 185-188 - [c1]Shuangzhi Yu, Guanghui Yue, Ahmed Elazab
Multi-scale Graph Convolutional Network for Mild Cognitive Impairment Detection. GLMI@MICCAI 2019: 79-87
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