City Research Online

Yang, G. ORCID: 0000-0002-4826-6719, Gallo, A. J., Barboni, A. , Ferrari, R. M. G., Serrani, A. & Parisini, T.view all authors (2025). On the Output Redundancy of LTI Systems: A Geometric Approach With Application to Privacy. IEEE Transactions on Automatic Control, 70(11), pp. 7509-7522. doi: 10.1109/tac.2025.3579219

Yang, G., Aviles-Rivero, A., Fang, Y. , Feng, Z., Ciocca, G., Hicks, Y. & Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018view all authors (2024). Guest Editorial: Special Issue on the British Machine Vision Conference 2022. International Journal of Computer Vision, 132(9), pp. 4123-4127. doi: 10.1007/s11263-024-02038-2

Yang, G., Kang, Y., Charlton, P. H. , Kyriacou, P. A. ORCID: 0000-0002-2868-485X, Kim, K. K., Li, L. & Park, C.view all authors (2024). Energy-Efficient PPG-Based Respiratory Rate Estimation Using Spiking Neural Networks. Sensors, 24(12), article number 3980. doi: 10.3390/s24123980

Yang, G. ORCID: 0000-0002-4826-6719, Rezaee, H., Alessandri, A. & Parisini, T.view all authors (2023). State estimation using a network of distributed observers with switching communication topology. Automatica, 147, article number 110690. doi: 10.1016/j.automatica.2022.110690

Yang, G. ORCID: 0000-0002-4826-6719, Barboni, A., Rezaee, H. & Parisini, T.view all authors (2022). State estimation using a network of distributed observers with unknown inputs. Automatica, 146, article number 110631. doi: 10.1016/j.automatica.2022.110631

Yang, G. ORCID: 0000-0002-4826-6719, Rezaee, H., Serrani, A. & Parisini, T.view all authors (2022). Sensor Fault-Tolerant State Estimation by Networks of Distributed Observers. IEEE Transactions on Automatic Control, 67(10), pp. 5348-5360. doi: 10.1109/tac.2022.3190429

Zhang, D., Wu, Z., Chen, J. , Gao, A., Chen, X., Li, P., Wang, Z., Yang, G. ORCID: 0000-0002-4826-6719, Lo, B. & Yang, G-Z.view all authors (2020). Automatic Microsurgical Skill Assessment Based on Cross-Domain Transfer Learning. IEEE Robotics and Automation Letters, 5(3), pp. 4148-4155. doi: 10.1109/lra.2020.2989075

Olliverre, N. J., Yang, G., Slabaugh, G. G. , Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018 & Alonso, E.view all authors (2018). Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-Linear and Deep Learning Models. In: Simulation and Synthesis in Medical Imaging. SASHIMI 2018: Simulation and Synthesis in Medical Imaging, 16 Sep 2018, Granada, Spain. doi: 10.1007/978-3-030-00536-8_14

Zomorodian, M., Yang, G., Belarbi, A. & Ayoub, A. ORCID: 0000-0002-2670-9662view all authors (2018). Behavior of FRP-strengthened RC elements subjected to pure shear. Construction and Building Materials, 170, pp. 378-391. doi: 10.1016/j.conbuildmat.2018.03.004

Yang, G., Zhuang, X., Khan, H. , Haldar, S., Nyktari, E., Ye, X., Slabaugh, G. G., Wong, T., Mohiaddin, R., Keegan, J. & Firman, D.view all authors (2017). Segmenting Atrial Fibrosis from late Gadolinium-Enhanced Cardiac MRI by Deep-Learned Features with Stacked Sparse Auto-Encoders. Paper presented at the Medical Image Understanding and Analysis (MIUA) 2017, 11 Jul 2017, Edinburgh, UK.

Yu, S., Dong, H., Yang, G. , Slabaugh, G. G., Dragotti, P. L., Ye, X., Liu, F., Arridge, S., Keegan, J., Firmin, D. & Guo, Y.view all authors (2017). Deep De-Aliasing for Fast Compressive Sensing MRI. IEEE Transactions on Medical Imaging,

Zomorodian, M., Yang, G., Belarbi, A. & Ayoub, A.view all authors (2016). Cracking behavior and crack width predictions of FRP strengthened RC members under tension. Engineering Structures, 125, pp. 313-324. doi: 10.1016/j.engstruct.2016.06.042

Yang, G., Zomorodian, M., Belarbi, A. & Ayoub, A.view all authors (2016). Uniaxial Tensile Stress-Strain Relationships of RC Elements Strengthened with FRP Sheets. Journal of Composites for Construction, 20(3), article number 04015075. doi: 10.1061/(asce)cc.1943-5614.0000639

Yang, G., Ye, X., Slabaugh, G. G. , Keegan, J., Mohiaddin, R. & Firman, D.view all authors (2016). Super-Resolved Enhancement of a Single Image and Its Application in Cardiac MRI. Paper presented at the 7th International Conference, ICISP 2016, 30 May - 01 Jun 2016, Quebec, Canada.

Slabaugh, G. G., Asad, M. & Yang, G. (2016). Supervised Partial Volume Effect Unmixing for Brain Tumor Characterization using Multi-voxel MR Spectroscopic Imaging. 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), pp. 436-439. doi: 10.1109/ISBI.2016.7493301

Yang, G., Nawaz, T., Barrick, T. R. , Howe, F. A. & Slabaugh, G. G.view all authors (2015). Discrete Wavelet Transform-Based Whole-Spectral and Subspectral Analysis for Improved Brain Tumor Clustering Using Single Voxel MR Spectroscopy. IEEE Transactions on Biomedical Engineering, 62(12), pp. 2860-2866. doi: 10.1109/tbme.2015.2448232