An Improved Brain MRI Segmentation Method Based on Scale-Space Theory and Expectation Maximization Algorithm. - Yuqing Song 001; Xiang Bao; Zhe Liu 004; Deqi Yuan; Minshan Song (PCM (2), 2015)

Text Categorization by Multi-instance Multi-label and Momentum Stochastic Gradient Descent Strategy. - Xiang Bao; Guifeng Liu; Manrong Wang (ACAI, 2020)

EEG classification algorithm of motor imagery based on CNN-Transformer fusion network. - Haofeng Liu; Yuefeng Liu; Yue Wang; Bo Liu; Xiang Bao (TrustCom, 2022)

A multi-instance multi-label learning algorithm based on radial basis functions and multi-objective particle swarm optimization. - Xiang Bao; Fei Han 001; Qing-Hua Ling; Yan-Qiong Ren (Intell. Data Anal., 2023)

Dependent Application Offloading in Edge Computing. - Junna Zhang; Guoxian Zhang; Xiang Bao; Chuntao Ding; Peiyan Yuan; Xinglin Zhang; Shangguang Wang (IEEE Trans. Cloud Comput., 2023)

Dependent task offloading mechanism for cloud-edge-device collaboration. - Junna Zhang; Jiawei Chen; Xiang Bao; Chunhong Liu; Peiyan Yuan; Xinglin Zhang; Shangguang Wang (J. Netw. Comput. Appl., 2023)

Prediction of Bladder Cancer Prognosis by Deep Cox Proportional Hazards Model Based on Adversarial Autoencoder. - Jing Wu; Yanqiong Ren; Fei Han 001; Xiang Bao (ICIC (LNBI 1), 2024)

A SE-DenseNet-LSTM model for locomotion mode recognition in lower limb exoskeleton. - Jing Tang; Lun Zhao; Minghu Wu; Zequan Jiang; Jiaxun Cao; Xiang Bao (PeerJ Comput. Sci., 2024)