代表性论文专著
在神经交互、生机电一体化机器人领域发表多篇SCI论文，包括Nature Biomedical Engineering, Nature Communications, Cyborg and Bionic Systems, IEEE JBHI，IEEE TIE，IEEE TNSRE和IEEE TBME等，以及领域内多篇国际会议论文。
（* indicates corresponding author, # indicates co-first authorship.）
※ Peer-reviewed Journal Papers：
【2026】
25. Li, Y.#, Yu, Y.#*, Kang, Y., Yin, Z., Ma, S., ... , Farina, D.*, & Zhu, X.* (2026). In Vivo Ultrasound–MRI 3D Mapping of Neuromuscular Compartments Reveals the Neuromechanical Architecture of Finger-Specific Control. Nature Communications. (Article in Press)
24. Zhang, N.#*, Yang, X.#, Zong, Z., Yu, Y., Zhao, Y., Bian, R., Jiang, C., Shen, F., Zhu, X.*, & Gu, G.* (2026). A high-dexterity soft neuroprosthetic hand for daily activities. Nature Communications. https://doi.org/10.1038/s41467-026-75105-6.
23. Zhou, Z., Yu, Y.*, Xu, Y., & Sheng, X*. (2026). Robust decomposition of surface EMG signals via lightweight deep learning-based adaptation. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 34, 2394-2404, doi: 10.1109/TNSRE.2026.3691346. (Invited Presentation for CBS2026)
22. Zhou, Z., Yu, Y.*, Chen, C., Xu, Y., & Sheng, X.* (2026). Online robust decomposition of surface electromyography signals via peel-off deep learning. Biomedical Signal Processing and Control, 116, 109491.
【2025】
21. Zhao, J., Yu, Y.*, Sheng, X., & Zhu, X.* (2025). Toward load-robust motion estimation using an EMG-driven state-space model with a variable stiffness musculoskeletal model. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 33, 3171-3180.
20. Yu, Y., Xu, Y., Zhao, J., Li, D., Guo, W., Sheng, X.*, & Zhu, X. (2025). Simultaneous decoding of wrist angles and grasp forces based on channel-wise cumulative spike trains. IEEE Journal of Biomedical and Health Informatics, 30(1), 292-302.
19. Guo, W.*, Zhao, Z., Zhou, Z., Fang, Y., Yu, Y., & Sheng, X.* (2025). Hand kinematics, high-density sEMG comprising forearm and far-field potentials for motion intent recognition. Scientific Data, 12(1), 445.
18. Yu, Y., Zhou, Z., Xu, Y., Chen, C., Guo, W., & Sheng, X.* (2025). Toward hand gesture recognition using a channel-wise cumulative spike train image-driven model. Cyborg and Bionic Systems, 6:2019, DOI:10.34133/cbsystems.0219. (IF=18.1)
【2024】
17. Chen, C., Zhao, J., Yu, Y., Sheng, X., & Zhu, X.* (2024). Wrist torque estimation by combining motor unit discharges with musculoskeletal model. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 32, 4249-4259.
16. Li, D., Kang, P., Yu, Y., & Shull, P. B.* (2024). Graph-driven simultaneous and proportional estimation of wrist angle and grasp force via high-density EMG. IEEE Journal of Biomedical and Health Informatics, 28(5), 2723-2732.
15. Xu, Y., Yu, Y., Zhao, Z., & Sheng, X.* (2024). Decoding multi-DoF movements using a CST-based force generation model with single-DoF training. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 32, 974-982.
【2023】
14. Xu, Y., Yu, Y., Zhao, Z., Chen, C., & Sheng, X.* (2023). Cumulative spike train estimation for muscle excitation assessment from surface EMG using spatial spike detection. IEEE Journal of Biomedical and Health Informatics, 27(11), 5335-5344.
13. Zhao, J., Yu, Y.*, Sheng, X., & Zhu, X.* (2023). Consistent control information driven musculoskeletal model for multiday myoelectric control. Journal of Neural Engineering, 20(5), 056007.
12. Chen, C., Yu, Y., Sheng, X., Meng, J., & Zhu, X.* (2023). Real-time hand gesture recognition by decoding motor unit discharges across multiple motor tasks from surface electromyography. IEEE Transactions on Biomedical Engineering, 70(7), 2058-2068.
11. Chen, C., Yu, Y., Sheng, X., Meng, J., & Zhu, X.* (2023). Mapping individual motor unit activity to continuous three-DoF wrist torques: perspectives for myoelectric control. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 1807-1815.
10. Gu, G.*#, Zhang, N.#, Xu, H., Lin, S., Yu, Y., Chai, G., Ge, L., Yang, H., Shao, Q., Sheng X., Zhu, X.*#, & Zhao, X.*# (2023). A soft neuroprosthetic hand providing simultaneous myoelectric control and tactile feedback. Nature Biomedical Engineering, 7(4), 589-598.
【2022】
9. Xu, Y., Yu, Y., Xia, M., Sheng, X.*, & Zhu, X. (2022). A novel and efficient surface electromyography decomposition algorithm using local spatial information. IEEE Journal of Biomedical and Health Informatics, 27(1), 286-295.
8. Zhao, J., Yu, Y., Wang, X., Ma, S., Sheng, X., & Zhu, X.* (2022). A musculoskeletal model driven by muscle synergy-derived excitations for hand and wrist movements. Journal of Neural Engineering, 19(1), 016027.
7. Chen, C., Ma, S., Yu, Y., Sheng, X., & Zhu, X.* (2022). Segment-wise decomposition of surface electromyography to identify discharges across motor neuron populations. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30, 2012-2021.
6. Yu, Y., Chen, C., Zhao, J., Sheng, X.*, & Zhu, X. (2022). Surface electromyography image-driven torque estimation of multi-DoF wrist movements. IEEE Transactions on Industrial Electronics, 69(1), 795-804.
【2015-2021 (During Ph.D. Period)】
5. Chen, C., Yu, Y., Sheng, X., & Zhu, X.* (2021). Non-invasive analysis of motor unit activation during simultaneous and continuous wrist movements. IEEE Journal of Biomedical and Health Informatics, 26(5), 2106-2115.
4. Chen, C., Yu, Y., Sheng, X., Farina, D., & Zhu, X.* (2021). Simultaneous and proportional control of wrist and hand movements by decoding motor unit discharges in real time. Journal of Neural Engineering, 18(5), 056010.
3. Yu, Y., Chen, C., Sheng, X.*, & Zhu, X. (2020). Wrist torque estimation via electromyographic motor unit decomposition and image reconstruction. IEEE Journal of Biomedical and Health Informatics, 25(7), 2557-2566.
2. Yu, Y., Chen, C., Sheng, X.*, & Zhu, X. (2020). Multi-DoF continuous estimation for wrist torques using stacked autoencoder. Biomedical Signal Processing and Control, 57, 101733.
1. Chen, C., Yu, Y., Ma, S., Sheng, X., Lin, C., Farina, D., & Zhu, X.* (2020). Hand gesture recognition based on motor unit spike trains decoded from high-density electromyography. Biomedical Signal Processing and Control, 55, 101637.
※ Conference Papers：
【After 2021】
12. Zhou, Z., Yu, Y., & Sheng, X.* (2025, October). Electrode Shift-Robust Decomposition of Surface EMG Signals via Deep Learning: A Simulation Study. In: Intelligent Robotics and Applications. ICIRA 2025. Lecture Notes in Computer Science, vol. 16074. Springer, Singapore. https://doi.org/10.1007/978-981-95-2095-4_25
11. Zhao, J., Yu, Y., Sheng, X.*, & Zhu, X. (2024, December). Decoding Wrist and Hand Movement Using a Synergy-Driven, Variable Stiffness Musculoskeletal Model Under Different Loads. In 2024 IEEE International Conference on Robotics and Biomimetics (ROBIO) (pp. 1434-1439). IEEE.
10. Fang, Y., Yu, Y., Guo, W.*, & Sheng, X.* (2024, December). Multi-DoF Continuous Estimation for Wrist Torques Using Convolutional Neural Network. In 2024 IEEE International Conference on Robotics and Biomimetics (ROBIO) (pp. 1464-1469). IEEE.
9. Zhao, J., Yu, Y., Sheng, X.*, & Zhu, X. (2022, August). Extracting stable control information from EMG signals to drive a musculoskeletal model-a preliminary study. In International Conference on Intelligent Robotics and Applications (pp. 735-746). Cham: Springer International Publishing.
【Before 2021】
8. Zhao, J., Yu, Y., Sheng, X.*, & Zhu, X. (2020, November). An improved calibration method of EMG-driven musculoskeletal model for estimating wrist joint angles. In Intelligent Robotics and Applications: 13th International Conference, ICIRA 2020 (pp. 41-51). Springer International Publishing.
7. Yu, Y., Chen, C., Sheng, X.*, & Zhu, X. (2020, October). A motor unit-specific images based scheme for continuous estimation of wrist torques-A pilot study. In 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 3182-3187). IEEE.
6. Chen, C., Yu, Y., Sheng, X., & Zhu, X.* (2020, July). Analysis of motor unit activities during multiple motor tasks by real-time emg decomposition: perspective for myoelectric control. In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 4791-4794). IEEE.
5. Yu, Y., Chen, C., Sheng, X.*, & Zhu, X. (2019, March). Continuous estimation of wrist torques with stack-autoencoder based deep neural network: A preliminary study. In 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER) (pp. 473-476). IEEE.
4. Chen, C., Yu, Y., Chai, G., Sheng, X., & Zhu, X.* (2019, March). Estimating the single-DoF kinematics of wrist from motor unit behaviors. In 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER) (pp. 469-472). IEEE.
3. Liu, S., Hua, L., Lv, P., Yu, Y., Gao, Y., & Sheng, X.* (2018, August). A pulse condition reproduction apparatus for remote traditional Chinese medicine. In Intelligent Robotics and Applications: 11th International Conference, ICIRA 2018 (pp. 453-464). Springer International Publishing.
2. Zhang, H., Zhao, Z., Yu, Y., Gui, K., Sheng, X., & Zhu, X.* (2018, August). A feasibility study on an intuitive teleoperation system combining IMU with sEMG sensors. In Intelligent Robotics and Applications: 11th International Conference, ICIRA 2018 (pp. 465-474). Springer International Publishing.
1. Yu, Y., Sheng, X.*, Guo, W., & Zhu, X. (2017, December). Attenuating the impact of limb position on surface EMG pattern recognition using a mixed-LDA classifier. In 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO) (pp. 1497-1502). IEEE.
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