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陈欣星CHEN XIN XING
- Gender:Female
- Status:Employed
- Department:School of Artifical Intelligence and Automation
- Education Level:Postgraduate (Doctoral)
- Degree:Doctoral Degree in Engineering
- C. Liu, X. Chen, and J. Huang, “A Fast-trained and Generalized Spiking Neural Network for Robotic Gas Source Localization,” in 2024 International Conference on Advanced Robotics and Mechatronics (ICARM), 2024, pp. 490–495..
- R. Peng et al., “Multi-Branch Mutual-Distillation Transformer for EEG-Based Seizure Subtype Classification,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024..
- S. Yin et al., “Environmental Recognition and Multimode Continuous-Phase Control for a Powered Transfemoral Prosthesis,” in 2023 IEEE International Conference on Development and Learning (ICDL), 2023, pp. 55–60..
- B. Yang, X. Chen, X. Xiao, P. Yan, Y. Hasegawa, and J. Huang, “Gaze and Environmental Context-Guided Deep Neural Network and Sequential Decision Fusion for Grasp Intention Recognition,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023..
- B. Yang, X. Chen, R. Cheng, and J. Huang, “Outlier-robust zonotope set-membership filter for discrete-time nonlinear system,” International Journal of Robust and Nonlinear Control, vol. 33, no. 14, pp. 8693–8714, 2023..
- N. Chen, X. Chen, C. Chen, Y. Leng, and C. Fu, “Research on the human-following method, fall gesture recognition, and protection method for the walking-aid cane robot,” in 2022 IEEE International Conference on Cyborg and Bionic Systems (CBS), 2023, pp. 286–291..