Magnitude Design of FIR Evidence Filters with Prescribed Transition Rolloff Using Bisection and ICMEE. - Dinghan Hu; Xiaoping Lai (FUSION, 2018)

Epileptic State Classification based on Intrinsic Mode Function and Wavelet Packet Decomposition. - Dinghan Hu; Jiuwen Cao; Xiaoping Lai; Junbiao Liu (EMBC, 2019)

Epileptic Signal Classification with Deep Transfer Learning Feature on Mean Amplitude Spectrum. - Yaomin Wang; Jiuwen Cao; Jianzhong Wang; Dinghan Hu; Muqing Deng (EMBC, 2019)

Multi-modal Signal Based Childhood Rolandic Epilepsy Detection. - Yixian Wu; Dinghan Hu; Tiejia Jiang; Feng Gao 018; Jiuwen Cao (ICCSIP, 2021)

Epileptic Signal Classification Based on Synthetic Minority Oversampling and Blending Algorithm. - Dinghan Hu; Jiuwen Cao; Xiaoping Lai; Junbiao Liu; Shuang Wang; Yao Ding 002 (IEEE Trans. Cogn. Dev. Syst., 2021)

Epileptic State Classification by Fusing Hand-Crafted and Deep Learning EEG Features. - Dinghan Hu; Jiuwen Cao; Xiaoping Lai; Yaomin Wang; Shuang Wang; Yao Ding 002 (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Unsupervised Eye Blink Artifact Detection From EEG With Gaussian Mixture Model. - Jiuwen Cao; Long Chen; Dinghan Hu; Fang Dong 003; Tiejia Jiang; Weidong Gao 006; Feng Gao 018 (IEEE J. Biomed. Health Informatics, 2021)

Childhood epilepsy syndromes classification based on fused features of electroencephalogram and electrocardiogram. - Qianlan Yang; Dinghan Hu; Tianlei Wang; Jiuwen Cao; Fang Dong 003; Weidong Gao 006; Tiejia Jiang; Feng Gao 018 (Cogn. Comput. Syst., 2022)

Early seizure detection in childhood focal epilepsy with electroencephalogram feature fusion on deep autoencoder learning and channel correlations. - Tiejia Jiang; Jiahua Zhu; Dinghan Hu; Weidong Gao 006; Feng Gao 018; Jiuwen Cao (Multidimens. Syst. Signal Process., 2022)

Deep feature fusion based childhood epilepsy syndrome classification from electroencephalogram. - Xiaonan Cui; Dinghan Hu; Peng Lin; Jiuwen Cao; Xiaoping Lai; Tianlei Wang; Tiejia Jiang; Feng Gao 018 (Neural Networks, 2022)

Epileptic Classification With Deep-Transfer-Learning-Based Feature Fusion Algorithm. - Jiuwen Cao; Dinghan Hu; Yaomin Wang; Jianzhong Wang; Baiying Lei (IEEE Trans. Cogn. Dev. Syst., 2022)

Regional Scalp EEGs Analysis and Classification on Typical Childhood Epilepsy Syndromes. - Xiaonan Cui; Jiuwen Cao; Dinghan Hu; Tianlei Wang; Tiejia Jiang; Feng Gao 018 (IEEE Trans. Cogn. Dev. Syst., 2023)

Audio-Visual Cross-Modal Generation with Multimodal Variational Generative Model. - Zhubin Xu; Tianlei Wang; Dekang Liu; Dinghan Hu; Huanqiang Zeng; Jiuwen Cao (ISCAS, 2024)

Automatic EEG-based Spike Ripples Detection with Multi-band Frequency Analysis. - Sihan Zhou; Dinghan Hu; Feng Gao 018; Tiejia Jiang; Jiuwen Cao (ISCAS, 2024)

An End-to-End Vision-Based Seizure Detection With a Guided Spatial Attention Module for Patient Detection. - Dinghan Hu; Yuan Fang; Jiuwen Cao; Tiejia Jiang; Feng Gao 018 (IEEE Internet Things J., 2024)

Brain network analysis of benign childhood epilepsy with centrotemporal spikes: With versus without interictal spikes. - Zhixing Hong; Dinghan Hu; Runze Zheng; Tiejia Jiang; Feng Gao 018; Jiajia Fang; Jiuwen Cao (Cogn. Comput. Syst., 2024)

Mutual Information Driven Representation Learning for Cross-Subject Seizure Detection. - Dinghan Hu; Xiaonan Cui; Tiejia Jiang; Wenbin Hu; Jiuwen Cao (IEEE Signal Process. Lett., 2025)

Seizure Detection Framework via Multisubject Dynamic Adaptation and Structural Clustering. - Xiaonan Cui; Dinghan Hu; Xiaoping Lai; Tiejia Jiang; Feng Gao 018; Jiuwen Cao (IEEE Trans. Instrum. Meas., 2025)

EAViz: a user-friendly deep learning-based epilepsy analysis visualizer using multimodal data. - Ze Xia; Dinghan Hu; Tiejia Jiang; Shuangpeng Zhu; Xiaohui Lou; Jiuwen Cao (J. Supercomput., 2025)