Yunbo Tang

According to our database, Yunbo Tang authored at least 22 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

WEAL: Weight-wise Ensemble Adversarial Learning with Gradient Manipulation.

Chuanxi Chen, Jiaming Wang, Yunbo Tang, He Fang, Li Xu

Knowl. Based Syst., 2025

Fusion of generative adversarial networks and non-negative tensor decomposition for depression fMRI data analysis.

Fengqin Wang, Hengjin Ke, Yunbo Tang

Inf. Process. Manag., 2025

Individual EEG super-resolution via ADMM-based coupled matrix decomposition towards long-term brain monitoring.

Yunbo Tang, Chuanxi Chen, Dan Chen

Biomed. Signal Process. Control., 2025

2024

Learning Interpretable Brain Functional Connectivity via Self-Supervised Triplet Network With Depth-Wise Attention.

Yunbo Tang, Weirong Huang, Rongchang Liu, Yuanlong Yu

IEEE J. Biomed. Health Informatics, November, 2024

A multi-task learning model with reinforcement optimization for ASD comorbidity discrimination.

Heyou Dong, Dan Chen, Yukang Chen, Yunbo Tang, Dingze Yin, Xiaoli Li

Comput. Methods Programs Biomed., January, 2024

V2IED: Dual-view learning framework for detecting events of interictal epileptiform discharges.

Zhekai Ming, Dan Chen, Tengfei Gao, Yunbo Tang, Weiping Tu, Jingying Chen

Neural Networks, 2024

Scale-variant structural feature construction of EEG stream via component-increased Dynamic Tensor Decomposition.

Su Wei, Yunbo Tang, Tengfei Gao, Yaodong Wang, Fan Wang, Dan Chen

Knowl. Based Syst., 2024

Accurate apnea and hypopnea localization in PSG with Multi-scale object detection via Dual-modal Feature Learning.

Yifeng Ji, Dan Chen, Yiping Zuo, Tengfei Gao, Yunbo Tang

Biomed. Signal Process. Control., 2024

2023

Corrigendum to "Functional Connectivity Learning via Siamese-based SPD Matrix Representation of Brain Imaging Data" [Neural Networks 163 (2023) 272-285].

Yunbo Tang, Dan Chen, Jia Wu, Weiping Tu, Jessica J. M. Monaghan, Paul F. Sowman, David McAlpine

Neural Networks, July, 2023

Enhanced Bayesian Factorization With Variant Scale Partitioning for Multivariate Time Series Analysis.

Yunbo Tang, Dan Chen, Yiping Zuo, Xiaoqiang Lu, Rajiv Ranjan, Albert Y. Zomaya, Quanming Yao, Xiaoli Li

IEEE Trans. Knowl. Data Eng., April, 2023

EEG Reconstruction With a Dual-Scale CNN-LSTM Model for Deep Artifact Removal.

Tengfei Gao, Dan Chen, Yunbo Tang, Zhekai Ming, Xiaoli Li

IEEE J. Biomed. Health Informatics, March, 2023

Deep EEG Superresolution via Correlating Brain Structural and Functional Connectivities.

Yunbo Tang, Dan Chen, Honghai Liu, Chang Cai, Xiaoli Li

IEEE Trans. Cybern., 2023

Functional connectivity learning via Siamese-based SPD matrix representation of brain imaging data.

Yunbo Tang, Dan Chen, Jia Wu, Weiping Tu, Jessica J. M. Monaghan, Paul F. Sowman, David McAlpine

Neural Networks, 2023

Learning graph-based relationship of dual-modal features towards subject adaptive ASD assessment.

Shasha Zhang, Dan Chen, Yunbo Tang, Xiaoli Li

Neurocomputing, 2023

2022

Adaptive density peaks clustering: Towards exploratory EEG analysis.

Tengfei Gao, Dan Chen, Yunbo Tang, Bo Du, Rajiv Ranjan, Albert Y. Zomaya, Schahram Dustdar

Knowl. Based Syst., 2022

Adaptive feature selection with shapley and hypothetical testing: Case study of EEG feature engineering.

Dingze Yin, Dan Chen, Yunbo Tang, Heyou Dong, Xiaoli Li

Inf. Sci., 2022

Dimensionality Reduction Methods for Brain Imaging Data Analysis.

Yunbo Tang, Dan Chen, Xiaoli Li

ACM Comput. Surv., 2022

2021

Incremental Factorization of Big Time Series Data with Blind Factor Approximation.

Dan Chen, Yunbo Tang, Hao Zhang, Lizhe Wang, Xiaoli Li

IEEE Trans. Knowl. Data Eng., 2021

A lightweight solution to epileptic seizure prediction based on EEG synchronization measurement.

Shasha Zhang, Dan Chen, Rajiv Ranjan, Hengjin Ke, Yunbo Tang, Albert Y. Zomaya

J. Supercomput., 2021

Automated sleep spindle detection with mixed EEG features.

Peilu Chen, Dan Chen, Lei Zhang, Yunbo Tang, Xiaoli Li

Biomed. Signal Process. Control., 2021

2018

Bayesian tensor factorization for multi-way analysis of multi-dimensional EEG.

Yunbo Tang, Dan Chen, Lizhe Wang, Albert Y. Zomaya, Jingying Chen, Honghai Liu

Neurocomputing, 2018

Towards Brain Big Data Classification: Epileptic EEG Identification With a Lightweight VGGNet on Global MIC.

Hengjin Ke, Dan Chen, Xiaoli Li, Yunbo Tang, Tejal Shah, Rajiv Ranjan

IEEE Access, 2018