Construction and Application of Air Pollutant Concentration Prediction Model Based on Multivariate. - Li Xin; Pengrui Li; Shuai Zeng; Yujie Liang (ICAIS (1), 2022)

An EEG-based Brain Cognitive Dynamic Recognition Network for representations of brain fatigue. - Pengrui Li; Yongqing Zhang; Shihong Liu; Liqi Lin; Haokai Zhang; Tian Tang; Dongrui Gao (Appl. Soft Comput., 2023)

Emotion recognition based on convolutional gated recurrent units with attention. - Zhu Ye; Yuan Jing; Qinghua Wang; Pengrui Li; Zhihong Liu; Mingjing Yan; Yongqing Zhang; Dongrui Gao (Connect. Sci., 2023)

A Local-Ascending-Global Learning Strategy for Brain-Computer Interface. - Dongrui Gao; Haokai Zhang; Pengrui Li; Tian Tang; Shihong Liu; Zhihong Zhou; Shaofei Ying; Ye Zhu; Yongqing Zhang (AAAI, 2024)

Subspace Optimization for Large Language Models with Convergence Guarantees. - Yutong He; Pengrui Li; Yipeng Hu; Chuyan Chen; Kun Yuan 001 (CoRR, 2024)

A multiscale feature fusion network based on attention mechanism for motor imagery EEG decoding. - Dongrui Gao; Wen Yang; Pengrui Li; Shihong Liu; Tiejun Liu; Manqing Wang; Yongqing Zhang (Appl. Soft Comput., 2024)

An EEG-based cross-subject interpretable CNN for game player expertise level classification. - Liqi Lin; Pengrui Li; Qinghua Wang; Binnan Bai; Ruifang Cui; Zhenxia Yu; Dongrui Gao; Yongqing Zhang (Expert Syst. Appl., 2024)

CSF-GTNet: A Novel Multi-Dimensional Feature Fusion Network Based on Convnext-GeLU- BiLSTM for EEG-Signals-Enabled Fatigue Driving Detection. - Dongrui Gao; Pengrui Li; Manqing Wang; Yujie Liang; Shihong Liu; Jiliu Zhou; Lutao Wang; Yongqing Zhang (IEEE J. Biomed. Health Informatics, 2024)

Cooperative Motion Optimization Based on Risk Degree under Automatic Driving Environment. - Miaomiao Liu; Mingyue Zhu; Minkun Yao; Pengrui Li; Renjing Tang; Hui Deng (Sensors, 2024)

A Cooperative Optimization Model for Variable Approach Lanes at Signaled Intersections Based on Real-Time Flow. - Zhiqiang Zhu; Mingyue Zhu; Miaomiao Liu; Pengrui Li; Renjing Tang; Xuechi Zhang (Sensors, 2024)

An EEG-based single-channel dual-stream automatic sleep staging network with transfer learning. - Shaofei Ying; Pengrui Li; Jiping Chen; Wenpeng Cao; Haokai Zhang; Dongrui Gao; Tiejun Liu (Appl. Soft Comput., 2025)

TSMNet: A comprehensive network based on spatio-temporal representations for SSVEP classification. - Liu Deng; Pengrui Li; Haokai Zhang; Qingyuan Zheng; Shihong Liu; Xinmin Ding; Manqing Wang; Dongrui Gao (Biomed. Signal Process. Control., 2025)

Convolutional attention-based adaptive separation network for EEG artefact removal. - Jiaqiang Wang; Jiaxin Xie; Pengrui Li; Shihong Liu; Xinmin Ding; Jun Chen; Lutao Wang; Dongrui Gao (Biomed. Signal Process. Control., 2025)

A coupling of common-private topological patterns learning approach for cross-subject emotion recognition. - Haokai Zhang; Pengrui Li; Hongli Chang; Shihong Liu; Yun Qin; Jiaxin Xie; Manqing Wang; Dongrui Gao; Dingming Wu 004 (Biomed. Signal Process. Control., 2025)

A multi-domain constraint learning system inspired by adaptive cognitive graphs for emotion recognition. - Dongrui Gao; Mengwen Liu; Haokai Zhang; Manqing Wang; Hongli Chang; Gaoxiang Ouyang; Shihong Liu; Pengrui Li (Neural Networks, 2025)

A Comprehensive Adaptive Interpretable Takagi-Sugeno-Kang Fuzzy Classifier for Fatigue Driving Detection. - Dongrui Gao; Shihong Liu; Yingxian Gao; Pengrui Li; Haokai Zhang; Manqing Wang; Yan Shen 001; Lutao Wang; Yongqing Zhang (IEEE Trans. Fuzzy Syst., 2025)

Greedy Low-Rank Gradient Compression for Distributed Learning with Convergence Guarantees. - Chuyan Chen; Yutong He; Pengrui Li; Weichen Jia; Kun Yuan (CoRR, 2025)