EEG-based Universal Prediction Model of Emergency Braking Intention for Brain-controlled Vehicles*. - Xiaoguang Wang 012; Luzheng Bi; Weijie Fei; Jinling Lian; Huikang Wang (NER, 2019)

An EEG-Based Multi-Classification Method of Braking Intentions for Driver-Vehicle Interaction. - Huikang Wang; Luzheng Bi; Weijie Fei; Ling Wang 001 (RCAR, 2019)

A Novel Event-Related Potential-Based Brain-Computer Interface for Continuously Controlling Dynamic Systems. - Jinling Lian; Luzheng Bi; Weijie Fei (IEEE Access, 2019)

Detection of Driver Emergency Steering Intention Using EMG Signal. - Aberham Genetu Feleke; Luzheng Bi; Weijie Fei (RCAR, 2020)

Adaptive Brain-Machine Interface of Brain-Controlled Vehicles Using Semi-MIM and TSVM. - Weijie Fei; Luzheng Bi; Jingwei Zhang (CCEAI, 2021)

EMG-Based 3D Hand Motor Intention Prediction for Information Transfer from Human to Robot. - Aberham Genetu Feleke; Luzheng Bi; Weijie Fei (Sensors, 2021)

Decoding Single-Hand and Both-Hand Movement Directions From Noninvasive Neural Signals. - Jiarong Wang; Luzheng Bi; Weijie Fei; Cuntai Guan (IEEE Trans. Biomed. Eng., 2021)

Using Non-linear Dynamics of EEG Signals to Classify Primary Hand Movement Intent Under Opposite Hand Movement. - Jiarong Wang; Luzheng Bi; Weijie Fei (Frontiers Neurorobotics, 2022)

Detecting Driver Cognition Alertness State From Visual Activities in Normal and Emergency Scenarios. - Longxi Luo; Jianping Wu; Weijie Fei; Luzheng Bi; Xinan Fan (IEEE Trans. Intell. Transp. Syst., 2022)

A Novel Control Framework of Brain-Controlled Vehicle Based on Fuzzy Logic and Model Predictive Control. - Haonan Shi 003; Luzheng Bi; Zhenge Yang; Weijie Fei (IEEE Trans. Intell. Transp. Syst., 2022)

Effects of Cognitive Distraction on Upper Limb Movement Decoding From EEG Signals. - Weijie Fei; Luzheng Bi; Jiarong Wang; Shengchao Xia; Xinan Fan; Cuntai Guan (IEEE Trans. Biomed. Eng., 2023)

Multitask-Oriented Brain-Controlled Intelligent Vehicle Based on Human-Machine Intelligence Integration. - Jiarong Wang; Luzheng Bi; Weijie Fei (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Neural Signature and Decoding of Unmanned Aerial Vehicle Operators in Emergency Scenarios Using Electroencephalography. - Manyu Liu; Ying Liu; Aberham Genetu Feleke; Weijie Fei; Luzheng Bi (Sensors, 2024)

Brain-inspired deep learning model for EEG-based low-quality video target detection with phased encoding and aligned fusion. - Dehao Wang; Jianting Shi; Manyu Liu; Wenao Han; Luzheng Bi; Weijie Fei (Expert Syst. Appl., 2025)

Robust sound target detection based on encoding and decoding models between sound and EEG signals. - Xinbo Xu; Ying Liu; Jianting Shi; Jiaqi Wang; Aberham Genetu Feleke; Weijie Fei; Luzheng Bi (Expert Syst. Appl., 2025)

Joint energy and reliability optimization with dual-channel switching in ground-air collaborative networks. - Peiyu Zhang 001; Zhenge Yang; Zitong Wang; Weijie Fei; Ling Wang 001; Luzheng Bi (Expert Syst. Appl., 2025)

Adaptive Model Prediction Control Framework With Game Theory for Brain-Controlled Air-Ground Collaborative Autonomous System. - Haonan Shi 003; Luzheng Bi; Zhenge Yang; Haorui Ge; Weijie Fei; Ling Wang 001 (IEEE Robotics Autom. Lett., 2025)