City Research Online

Wang, X., Zhu, R. ORCID: 0000-0002-9944-0369 & Xue, J-H. (2025). GKF-PUAL: A group kernel-free approach to positive-unlabeled learning with variable selection. Information Sciences, 690, article number 121574. doi: 10.1016/j.ins.2024.121574

Li, X., Wang, X., Zhu, R. ORCID: 0000-0002-9944-0369 , Ma, Z. ORCID: 0000-0003-2950-2488, Cao, J. ORCID: 0000-0003-0481-5170 & Xue, J-H.view all authors (2025). Selectively augmented attention network for few-shot image classification. IEEE Transactions on Circuits and Systems for Video Technology, 35(2), pp. 1180-1192. doi: 10.1109/tcsvt.2024.3480279

Li, X., Guo, Z., Zhu, R. ORCID: 0000-0002-9944-0369 , Ma, Z., Guo, J. & Xue, J-H.view all authors (2024). A simple scheme to amplify inter-class discrepancy for improving few-shot fine-grained image classification. Pattern Recognition, 156, article number 110736. doi: 10.1016/j.patcog.2024.110736

Li, X., Lu, P., Zhu, R. ORCID: 0000-0002-9944-0369 , Cao, J., Ma, Z. & Xue, J-H.view all authors (2024). Rise by Lifting Others: Interacting Features to Uplift Few-Shot Fine-Grained Classification. IEEE transactions on circuits and systems for video technology, doi: 10.1109/tcsvt.2024.3501733

Zhang, Z. ORCID: 0009-0009-3591-3890, Chang, D. ORCID: 0000-0002-4081-3001, Zhu, R. ORCID: 0000-0002-9944-0369 , Li, X., Ma, Z. ORCID: 0000-0003-2950-2488 & Xue, J-H. ORCID: 0000-0003-1174-610Xview all authors (2024). Query-aware Cross-mixup and Cross-reconstruction for Few-shot Fine-grained Image Classification. IEEE Transactions on Circuits and Systems for Video Technology, 35(2), pp. 1276-1286. doi: 10.1109/tcsvt.2024.3484530

Li, X., Li, Y., Zheng, Y. , Zhu, R. ORCID: 0000-0002-9944-0369, Ma, Z., Xue, J-H. & Cao, J.view all authors (2023). ReNAP: Relation network with adaptiveprototypical learning for few-shot classification. Neurocomputing, 520, pp. 356-364. doi: 10.1016/j.neucom.2022.11.082

Lu, X., Qiao, Y., Zhu, R. ORCID: 0000-0002-9944-0369 , Wang, G., Ma, Z. & Xue, J-H.view all authors (2021). Generalisations of stochastic supervision models. Pattern Recognition, 109, article number 107575. doi: 10.1016/j.patcog.2020.107575

Sogi, N., Zhu, R. ORCID: 0000-0002-9944-0369, Xue, J-H. & Fukui, K.view all authors (2021). Constrained mutual convex cone method for image set based recognition. Pattern Recognition, 121, article number 108190. doi: 10.1016/j.patcog.2021.108190

Zhu, R. ORCID: 0000-0002-9944-0369, Guo, Y. & Xue, J-H. (2020). Adjusting the imbalance ratio by the dimensionality of imbalanced data. Pattern Recognition Letters, 133, pp. 217-223. doi: 10.1016/j.patrec.2020.03.004

Zhu, R. ORCID: 0000-0002-9944-0369, Wang, Z., Sogi, N. , Fukui, K. & Xue, J-H.view all authors (2019). A Novel Separating Hyperplane Classification Framework to Unify Nearest-class-model Methods for High-dimensional Data. IEEE Transactions on Neural Networks and Learning Systems, 31(10), pp. 3866-3876. doi: 10.1109/tnnls.2019.2946967

Yang, W., Zhou, F., Zhu, R. ORCID: 0000-0002-9944-0369 , Fukui, K., Wang, G. & Xue, J-H.view all authors (2019). Deep learning for image super-resolution. Neurocomputing, 398, pp. 291-292. doi: 10.1016/j.neucom.2019.09.091

Zhu, R. ORCID: 0000-0002-9944-0369, Dong, M. & Xue, J-H. (2018). Learning distance to subspace for the nearest subspace methods in high-dimensional data classification. Information Sciences, 481, pp. 69-80. doi: 10.1016/j.ins.2018.12.061

Zhu, R. ORCID: 0000-0002-9944-0369, Wang, Z., Ma, Z. , Wang, G. & Xue, J-H.view all authors (2018). LRID: A new metric of multi-class imbalance degree based on likelihood-ratio test. Pattern Recognition Letters, 116, pp. 36-42. doi: 10.1016/j.patrec.2018.09.012

Zhu, R. ORCID: 0000-0002-9944-0369, Zhou, F., Yang, W. & Xue, J-H.view all authors (2018). On Hypothesis Testing for Comparing Image Quality Assessment Metrics [Tips & Tricks]. IEEE Signal Processing Magazine, 35(4), pp. 133-136. doi: 10.1109/msp.2018.2829209

Wang, Z., Zhu, R. ORCID: 0000-0002-9944-0369, Fukui, K. & Xue, J-H.view all authors (2018). Cone-based joint sparse modelling for hyperspectral image classification. Signal Processing, 144, pp. 417-429. doi: 10.1016/j.sigpro.2017.11.001

Zhu, R. ORCID: 0000-0002-9944-0369, Zhou, F. & Xue, J-H. (2018). MvSSIM: A quality assessment index for hyperspectral images. Neurocomputing, 272, pp. 250-257. doi: 10.1016/j.neucom.2017.06.073

Zhu, R. ORCID: 0000-0002-9944-0369 & Xue, J-H. (2017). On the orthogonal distance to class subspaces for high-dimensional data classification. Information Sciences, 417, pp. 262-273. doi: 10.1016/j.ins.2017.07.019

Wang, Z., Zhu, R. ORCID: 0000-0002-9944-0369, Fukui, K. & Xue, J-H.view all authors (2017). Matched Shrunken Cone Detector (MSCD): Bayesian Derivations and Case Studies for Hyperspectral Target Detection. IEEE Transactions on Image Processing, 26(11), pp. 5447-5461. doi: 10.1109/tip.2017.2740621

Zhu, R. ORCID: 0000-0002-9944-0369, Fukui, K. & Xue, J-H. (2017). Building a discriminatively ordered subspace on the generating matrix to classify high-dimensional spectral data. Information Sciences, 382-383, pp. 1-14. doi: 10.1016/j.ins.2016.12.001

Zhu, R. ORCID: 0000-0002-9944-0369, Dong, M. & Xue, J-H. (2014). Spectral non-local restoration of hyperspectral images with low-rank property. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(6), pp. 3062-3067. doi: 10.1109/jstars.2014.2370062