论文著作:
[1] Zeng, Y., Tsui, P. H., Pang, K.,Bin, G., Li, J., Lv, K., ... & Zhou, Z. . MAEF-Net: Multi-attention efficient feature fusion network for left ventricular segmentation and quantitative analysis in two-dimensional echocardiography. Ultrasonics, 127, 106855, 2023
[2] R. Yu, Z. Zhou, S. Wu, X. Gao, andG. Bin,"MRASleepNet: a multi-resolution attention network for sleep stage classification using single-channel EEG,"Journal of Neural Engineering,vol. 19, no. 6, p. 066025, 2022.
[3] L. Liang,G. Bin,X. Chen, Y. Wang, S. Gao, and X. Gao, "Optimizing a left and right visual field biphasic stimulation paradigm for SSVEP-based BCIs with hairless region behind the ear,"Journal of Neural Engineering,vol. 18, no. 6, p. 066040, 2021.
[4] M. Shao, Z. Zhou,G. Bin, Y. Bai, and S. Wu, "A wearable electrocardiogram telemonitoring system for atrial fibrillation detection,"Sensors,vol. 20, no. 3, p. 606, 2020.
[5] G. Bin, S. Wu, M. Shao, Z. Zhou, andG. Bin, "IRN-MLSQR: An improved iterative reweight norm approach to the inverse problem of electrocardiography incorporating factorization-free preconditioned LSQR,"Journal of Electrocardiology,vol. 62, pp. 190-199, 2020.
[6] M. Shao, G. Bin, S. Wu,G. Bin,J. Huang, and Z. Zhou, "Detection of atrial fibrillation from ECG recordings using decision tree ensemble with multi-level features,"Physiological measurement,vol. 39, no. 9, p. 094008, 2018.
[7]G. Bin, M. Shao, G. Bin, J. Huang, D. Zheng, and S. Wu, "Detection of atrial fibrillation using decision tree ensemble," in2017 Computing in Cardiology (CinC), 2017: IEEE, pp. 1-4.
[8] Q. Fu,G. Bin, Z. Dienes, X. Fu, and X. Gao, "Learning without consciously knowing: Evidence from event-related potentials in sequence learning,"Consciousness and cognition,vol. 22, no. 1, pp. 22-34, 2013.
[9]G. Bin,X. Gao, Y. Wang, Y. Li, B. Hong, and S. Gao, "A high-speed BCI based on code modulation VEP,"Journal of neural engineering,vol. 8, no. 2, p. 025015, 2011.
[10]G. Bin,X. Gao, Z. Yan, B. Hong, and S. Gao, "An online multi-channel SSVEP-based brain–computer interface using a canonical correlation analysis method,"Journal of neural engineering,vol. 6, no. 4, p. 046002, 2009.
[11]G. Bin,X. Gao, Y. Wang, B. Hong, and S. Gao, "VEP-based brain-computer interfaces: time, frequency, and code modulations [Research Frontier],"IEEE Computational Intelligence Magazine,vol. 4, no. 4, pp. 22-26, 2009.