Towards Brain Big Data Classification: Epileptic EEG Identification With a Lightweight VGGNet on Global MIC. - Hengjin Ke; Dan Chen 001; Xiaoli Li 002; Yunbo Tang; Tejal Shah; Rajiv Ranjan 001 (IEEE Access, 2018)

Bayesian tensor factorization for multi-way analysis of multi-dimensional EEG. - Yunbo Tang; Dan Chen 001; Lizhe Wang 001; Albert Y. Zomaya; Jingying Chen; Honghai Liu 001 (Neurocomputing, 2018)

Automated sleep spindle detection with mixed EEG features. - Peilu Chen; Dan Chen 001; Lei Zhang; Yunbo Tang; Xiaoli Li 002 (Biomed. Signal Process. Control., 2021)

A lightweight solution to epileptic seizure prediction based on EEG synchronization measurement. - Shasha Zhang; Dan Chen 001; Rajiv Ranjan 001; Hengjin Ke; Yunbo Tang; Albert Y. Zomaya (J. Supercomput., 2021)

Incremental Factorization of Big Time Series Data with Blind Factor Approximation. - Dan Chen 001; Yunbo Tang; Hao Zhang; Lizhe Wang 001; Xiaoli Li 002 (IEEE Trans. Knowl. Data Eng., 2021)

Dimensionality Reduction Methods for Brain Imaging Data Analysis. - Yunbo Tang; Dan Chen 001; Xiaoli Li 002 (ACM Comput. Surv., 2022)

Adaptive feature selection with shapley and hypothetical testing: Case study of EEG feature engineering. - Dingze Yin; Dan Chen 001; Yunbo Tang; Heyou Dong; Xiaoli Li 002 (Inf. Sci., 2022)

Adaptive density peaks clustering: Towards exploratory EEG analysis. - Tengfei Gao; Dan Chen 001; Yunbo Tang; Bo Du 001; Rajiv Ranjan 001; Albert Y. Zomaya; Schahram Dustdar (Knowl. Based Syst., 2022)

Learning graph-based relationship of dual-modal features towards subject adaptive ASD assessment. - Shasha Zhang; Dan Chen 001; Yunbo Tang; Xiaoli Li 002 (Neurocomputing, 2023)

Functional connectivity learning via Siamese-based SPD matrix representation of brain imaging data. - Yunbo Tang; Dan Chen 001; Jia Wu 001; Weiping Tu; Jessica J. M. Monaghan; Paul F. Sowman; David McAlpine (Neural Networks, 2023)

Deep EEG Superresolution via Correlating Brain Structural and Functional Connectivities. - Yunbo Tang; Dan Chen 001; Honghai Liu 001; Chang Cai; Xiaoli Li 002 (IEEE Trans. Cybern., 2023)

EEG Reconstruction With a Dual-Scale CNN-LSTM Model for Deep Artifact Removal. - Tengfei Gao; Dan Chen 001; Yunbo Tang; Zhekai Ming; Xiaoli Li 002 (IEEE J. Biomed. Health Informatics, 2023)

Enhanced Bayesian Factorization With Variant Scale Partitioning for Multivariate Time Series Analysis. - Yunbo Tang; Dan Chen 001; Yiping Zuo; Xiaoqiang Lu; Rajiv Ranjan 001; Albert Y. Zomaya; Quanming Yao; Xiaoli Li 002 (IEEE Trans. Knowl. Data Eng., 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 001; Jia Wu 001; Weiping Tu; Jessica J. M. Monaghan; Paul F. Sowman; David McAlpine (Neural Networks, 2023)

Accurate apnea and hypopnea localization in PSG with Multi-scale object detection via Dual-modal Feature Learning. - Yifeng Ji; Dan Chen 001; Yiping Zuo; Tengfei Gao; Yunbo Tang (Biomed. Signal Process. Control., 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 036; Dan Chen 001 (Knowl. Based Syst., 2024)

V2IED: Dual-view learning framework for detecting events of interictal epileptiform discharges. - Zhekai Ming; Dan Chen 001; Tengfei Gao; Yunbo Tang; Weiping Tu; Jingying Chen (Neural Networks, 2024)

A multi-task learning model with reinforcement optimization for ASD comorbidity discrimination. - Heyou Dong; Dan Chen 001; Yukang Chen; Yunbo Tang; Dingze Yin; Xiaoli Li 002 (Comput. Methods Programs Biomed., 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, 2024)

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)

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)

WEAL: Weight-wise Ensemble Adversarial Learning with Gradient Manipulation. - Chuanxi Chen; Jiaming Wang; Yunbo Tang; He Fang; Li Xu (Knowl. Based Syst., 2025)

Deep Wavelet Temporal-Frequency Attention for nonlinear fMRI factorization in ASD. - Fengqin Wang; Hengjin Ke; Hongyin Ma; Yunbo Tang (Pattern Recognit., 2025)

CT-DCENet: Deep EEG Denoising via CNN-Transformer-Based Dual-Stage Collaborative Ensemble Learning. - Yunbo Tang; Weirong Huang; Chuanxi Chen; Dan Chen 001 (IEEE J. Biomed. Health Informatics, 2025)

Edge-based graph neighbor filtering network for recommendation. - Qian Yan; Yunbo Tang; Liang Xue (Appl. Intell., 2025)