Items where City Author is "Zhu, Rui"
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., Guo, Z., Zhu, R. ORCID: 0000-0002-9944-0369 , Ma, Z., Guo, J. & Xue, J-H. (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. (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: 0000-0003-1174-610X (2024).
Query-aware Cross-mixup and Cross-reconstruction for Few-shot Fine-grained Image Classification.
IEEE Transactions on Circuits and Systems for Video Technology,
doi: 10.1109/tcsvt.2024.3484530
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. (2024).
Selectively augmented attention network for few-shot image classification.
IEEE Transactions on Circuits and Systems for Video Technology,
doi: 10.1109/tcsvt.2024.3480279
Xu, Z. ORCID: 0009-0008-4497-724X, Xu, H. ORCID: 0009-0000-7570-4078, Lu, Z. ORCID: 0009-0005-6159-6914 , Zhao, Y. ORCID: 0000-0001-5902-1306, Zhu, R. ORCID: 0000-0002-9944-0369, Wang, Y. ORCID: 0000-0002-6220-029X, Dong, M. ORCID: 0000-0002-8897-5931, Chang, Y. ORCID: 0000-0003-2607-916X, Lv, Q. ORCID: 0000-0002-9437-1376, Dick, R. P. ORCID: 0000-0001-5428-9530, Yang, F. ORCID: 0000-0003-2164-8175, Lu, T. ORCID: 0000-0002-6633-4826, Gu, N. ORCID: 0000-0002-2915-974X & Shang, L. ORCID: 0000-0003-3944-7531 (2024).
Can Large Language Models Be Good Companions?.
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 8(2),
pp. 1-41.
doi: 10.1145/3659600
Wang, R., Asimit, V. ORCID: 0000-0002-7706-0066, Zhu, R. ORCID: 0000-0002-9944-0369 & Zhou, F. (2024).
Efficient PSD Matrix Approximation by Iterative Optimisations and Gradient Descent Method.
De Mori, L., Millossovich, P. ORCID: 0000-0001-8269-7507, Zhu, R. ORCID: 0000-0002-9944-0369 & Haberman, S. ORCID: 0000-0003-2269-9759 (2024).
Two-population Mortality Forecasting: An Approach Based on Model Averaging.
Risks, 12(4),
article number 60.
doi: 10.3390/risks12040060
Zhu, R. ORCID: 0000-0002-9944-0369, Zhou, F., Yang, W. & Jing-Hao, X. (2023).
Statistical hypothesis testing as a novel perspective of pooling for image quality assessment.
Signal Processing: Image Communication, 114,
article number 116942.
doi: 10.1016/j.image.2023.116942
Liu, X., Song, Q., Wu, J. , Zhu, R. ORCID: 0000-0002-9944-0369, Ma, Z. & Xue, J. (2023).
Locally-Enriched Cross-Reconstruction for Few-Shot Fine-Grained Image Classification.
IEEE Transactions on Circuits and Systems for Video Technology, 33(12),
pp. 7530-7540.
doi: 10.1109/tcsvt.2023.3275382
Li, X., Li, Y., Zheng, Y. , Zhu, R. ORCID: 0000-0002-9944-0369, Ma, Z., Xue, J-H. & Cao, J. (2023).
ReNAP: Relation network with adaptiveprototypical learning for few-shot classification.
Neurocomputing, 520,
pp. 356-364.
doi: 10.1016/j.neucom.2022.11.082
Ren, K., Guo, Z., Zhang, Z. , Zhu, R. ORCID: 0000-0002-9944-0369 & Li, X. (2022).
Multi-Branch Network for Few-shot Learning.
In:
Proceedings of 2022 Asia-Pacific signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).
2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 7-10 Nov 2022, Chiang Mai, Thailand.
doi: 10.23919/APSIPAASC55919.2022.9980160
Tsanakas, A. ORCID: 0000-0003-4552-5532 & Zhu, R. ORCID: 0000-0002-9944-0369 (2022).
Selecting bivariate copula models using image recognition.
Astin Bulletin, 52(3),
pp. 707-734.
doi: 10.1017/asb.2022.12
Lv, Y., Yang, W., Zuo, W. , Liao, Q. & Zhu, R. ORCID: 0000-0002-9944-0369 (2022).
Sain: Similarity-Aware Video Frame Interpolation.
In:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 23-27 May 2022, Singapore, Singapore.
doi: 10.1109/icassp43922.2022.9747211
Wang, Z., Liu, Y., Zhu, R. ORCID: 0000-0002-9944-0369 , Yang, W. & Liao, Q. (2022).
Lightweight Single Image Super-Resolution With Similar Feature Fusion Block.
IEEE ACCESS, 10,
pp. 30974-30981.
doi: 10.1109/access.2022.3158936
Tsanakas, A. ORCID: 0000-0003-4552-5532 & Zhu, R. ORCID: 0000-0002-9944-0369 (2021).
Copula model selection using image recognition.
.
Lu, X., Qiao, Y., Zhu, R. ORCID: 0000-0002-9944-0369 , Wang, G., Ma, Z. & Xue, J-H. (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. (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 & Wüthrich, M. V. (2020).
Clustering driving styles via image processing.
Annals of Actuarial Science, 15(2),
pp. 1-15.
doi: 10.1017/s1748499520000317
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. (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
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, Zhou, F., Yang, W. & Xue, J-H. (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. (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. (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