End-to-end model for automatic seizure detection using supervised contrastive learning. - Haotian Li; Xingchen Dong; Xiangwen Zhong; Chuanyu Li; Haozhou Cui; Weidong Zhou (Eng. Appl. Artif. Intell., 2024)

Automatic Seizure Detection Based on Stockwell Transform and Transformer. - Xiangwen Zhong; Guoyang Liu; Xingchen Dong; Chuanyu Li; Haotian Li; Haozhou Cui; Weidong Zhou (Sensors, 2024)

Epileptic Seizure Prediction Using Spatiotemporal Feature Fusion on EEG. - Dezan Ji; Landi He; Xingchen Dong; Haotian Li; Xiangwen Zhong; Guoyang Liu; Weidong Zhou (Int. J. Neural Syst., 2024)

A Lightweight Convolutional Neural Network-Reformer Model for Efficient Epileptic Seizure Detection. - Haozhou Cui; Xiangwen Zhong; Haotian Li; Chuanyu Li; Xingchen Dong; Dezan Ji; Landi He; Weidong Zhou (Int. J. Neural Syst., 2024)

Efficient Seizure Detection by Complementary Integration of Convolutional Neural Network and Vision Transformer. - Jiaqi Wang; Haotian Li; Chuanyu Li; Weisen Lu; Haozhou Cui; Xiangwen Zhong; Shuhao Ren; Zhida Shang; Weidong Zhou (Int. J. Neural Syst., 2025)

CNN-Informer: A hybrid deep learning model for seizure detection on long-term EEG. - Chuanyu Li; Haotian Li; Xingchen Dong; Xiangwen Zhong; Haozhou Cui; Dezan Ji; Landi He; Guoyang Liu; Weidong Zhou (Neural Networks, 2025)

Efficient seizure detection by lightweight Informer combined with fusion of time-frequency-spatial features. - Xiangwen Zhong; Guijuan Jia; Haozhou Cui; Haotian Li; Chuanyu Li; Guoyang Liu; Yi Li; Weidong Zhou (Appl. Intell., 2025)