Individual-Specific Classification of Mental Workload Levels Via an Ensemble Heterogeneous Extreme Learning Machine for EEG Modeling. - Jiadong Tao; Zhong Yin; Lei Liu 035; Ying Tian; Zhanquan Sun 001; Jianhua Zhang 004 (Symmetry, 2019)

A CNN Model for Herb Identification Based on Part Priority Attention Mechanism. - Yangyang Zhao; Zhanquan Sun 001; Engang Tian; Chuanfei Hu; Hui Zong; Fan Yang (SMC, 2020)

Multi-Label ECG Signal Classification Based on Ensemble Classifier. - Zhanquan Sun 001; Chaoli Wang 002; Yangyang Zhao; Chao Yang 016 (IEEE Access, 2020)

An Improved Dice Loss for Pneumothorax Segmentation by Mining the Information of Negative Areas. - Lu Wang; Chaoli Wang 002; Zhanquan Sun 001; Sheng Chen 009 (IEEE Access, 2020)

Class Balanced Loss for Image Classification. - Lin Wang 053; Chaoli Wang 002; Zhanquan Sun 001; Shuqun Cheng; Lei Guo (IEEE Access, 2020)

Selecting transferrable neurophysiological features for inter-individual emotion recognition via a shared-subspace feature elimination approach. - Wei Zhang 134; Zhong Yin; Zhanquan Sun 001; Ying Tian; Yagang Wang (Comput. Biol. Medicine, 2020)

UUnet: An effective cascade Unet for automatic segmentation of renal parenchyma. - Gaoyu Cao; Zhanquan Sun 001; Minlan Pan; Jiangfei Pang; Zhiqiang He; Jiayu Shen (SSCI, 2021)

Multi-domain Feature Fusion Neural Network for Electrocardiogram Classification. - Jiao Nan; Zhanquan Sun 001; Lin Sun; Min Huang; Zifan Li (ICONIP (3), 2022)

Identification of mental fatigue levels in a language understanding task based on multi-domain EEG features and an ensemble convolutional neural network. - Chunhua Ye; Zhong Yin; Mengyuan Zhao; Ying Tian; Zhanquan Sun 001 (Biomed. Signal Process. Control., 2022)

Identification of human mental workload levels in a language comprehension task with imbalance neurophysiological data. - Guangying Wang; Zhong Yin; Mengyuan Zhao; Ying Tian; Zhanquan Sun 001 (Comput. Methods Programs Biomed., 2022)

A multi-label feature selection method based on an approximation of interaction information. - Minlan Pan; Zhanquan Sun 001; Chaoli Wang 002; Gaoyu Cao (Intell. Data Anal., 2022)

ECG signal classification via combining hand-engineered features with deep neural network features. - Zhanquan Sun 001; Chaoli Wang 002; Engang Tian; Yin Zhong (Multim. Tools Appl., 2022)

S2S-ARSNet: Sequence-to-Sequence automatic renal segmentation network. - Gaoyu Cao; Zhanquan Sun 001; Chaoli Wang 002; Hongquan Geng; Hongliang Fu; Lin Sun; Jiao Nan (Biomed. Signal Process. Control., 2023)

Medical image contrast enhancement based on improved sparrow search algorithm. - Xiaoyan Fan; Zhanquan Sun 001; Engang Tian; Zhong Yin; Gaoyu Cao (Int. J. Imaging Syst. Technol., 2023)

Prognosis prediction based on liver histopathological image via graph deep learning and transformer. - Jiawei Zhang; Zhanquan Sun 001; Kang Wang; Chaoli Wang 002; Shuqun Cheng; Yu Jiang; Qing Bai (Appl. Soft Comput., 2024)

A novel Nine-SequenceNet with attention for liver histopathological classification. - Lin Sun; Zhanquan Sun 001; Chaoli Wang 002; Shuqun Cheng; Kang Wang (Biomed. Signal Process. Control., 2024)

MPSA: Multi-Position Supervised Soft Attention-based convolutional neural network for histopathological image classification. - Qing Bai; Zhanquan Sun 001; Kang Wang; Chaoli Wang 002; Shuqun Cheng; Jiawei Zhang (Expert Syst. Appl., 2024)

Instantaneous estimation of momentary affective responses using neurophysiological signals and a spatiotemporal emotional intensity regression network. - Kaiyu Gan; Ruiding Li; Jianhua Zhang 004; Zhanquan Sun 001; Zhong Yin (Neural Networks, 2024)

RASNet: Renal automatic segmentation using an improved U-Net with multi-scale perception and attention unit. - Gaoyu Cao; Zhanquan Sun 001; Chaoli Wang 002; Hongquan Geng; Hongliang Fu; Zhong Yin; Minlan Pan (Pattern Recognit., 2024)

MTS-Net: research on multi-modal, multi-task, multi-stage tumor segmentation model for PET/CT. - Yongwei Zheng; Zhanquan Sun 001; Suyun Chen; Hongliang Fu; Chaoli Wang 002; Ji Zhu (Appl. Intell., 2025)