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Xiang Bao
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2020 – today
- 2024
- [j4]Jing Tang, Lun Zhao, Minghu Wu, Zequan Jiang, Jiaxun Cao, Xiang Bao:
A SE-DenseNet-LSTM model for locomotion mode recognition in lower limb exoskeleton. PeerJ Comput. Sci. 10: e1881 (2024) - [c4]Jing Wu, Yanqiong Ren, Fei Han, Xiang Bao:
Prediction of Bladder Cancer Prognosis by Deep Cox Proportional Hazards Model Based on Adversarial Autoencoder. ICIC (LNBI 1) 2024: 123-134 - 2023
- [j3]Xiang Bao, Fei Han, Qing-Hua Ling, Yan-Qiong Ren:
A multi-instance multi-label learning algorithm based on radial basis functions and multi-objective particle swarm optimization. Intell. Data Anal. 27(6): 1681-1698 (2023) - [j2]Junna Zhang, Jiawei Chen, Xiang Bao, Chunhong Liu, Peiyan Yuan, Xinglin Zhang, Shangguang Wang:
Dependent task offloading mechanism for cloud-edge-device collaboration. J. Netw. Comput. Appl. 216: 103656 (2023) - [j1]Junna Zhang
, Guoxian Zhang
Dependent Application Offloading in Edge Computing. IEEE Trans. Cloud Comput. 11(4): 3439-3451 (2023) - 2022
- [c3]Haofeng Liu, Yuefeng Liu, Yue Wang, Bo Liu, Xiang Bao:
EEG classification algorithm of motor imagery based on CNN-Transformer fusion network. TrustCom 2022: 1302-1309 - 2020
- [c2]Xiang Bao, Guifeng Liu, Manrong Wang:
Text Categorization by Multi-instance Multi-label and Momentum Stochastic Gradient Descent Strategy. ACAI 2020: 26:1-26:4
2010 – 2019
- 2015
- [c1]Yuqing Song, Xiang Bao, Zhe Liu, Deqi Yuan, Minshan Song:
An Improved Brain MRI Segmentation Method Based on Scale-Space Theory and Expectation Maximization Algorithm. PCM (2) 2015: 516-525
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