R.B.
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R.B.

CV

Working

2025.7~Now Post-doc, Mathematics, Hong Kong Baptist University, supervised by Prof. Michael K. NG

Education

2020.3~2025.3 PhD, Mathematics, Xi’an Jiaotong University, supervised by Prof. Deyu Meng

2017.9~2019.11 Master, Mathematics, Xi’an Jiaotong University, supervised by Prof. Deyu Meng

2013.9~2017.6 Bachelor, Hones Science Program (Mathematics and Applied Mathematics), Xi’an Jiaotong University

2016.1~2016.5 Visiting student, Mathematics, Michigan State University, supervised by Prof. Guowei Wei

Publications

  1. Xiangyu Rui, Xiangyong Cao, Xile Zhao, Deyu Meng, and Michael K. NG, “A data-driven loss weighting scheme across heterogeneous tasks for image denoising,” SIAM Journal on Imaging Sciences, 2026. [Code]

  2. Jin Cao*, Xiangyu Rui*, Li Pang, Deyu Meng, and Xiangyong Cao, “LatentHSI: restore hyperspectral images in a latent space,” Information Fusion, 2025.

  3. Xiangyu Rui, Xiangyong Cao, Yining Li, and Deyu Meng, “Variational zero-shot multispectral pansharpening,” IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2024. [Code]

  4. Li Pang*, Xiangyu Rui*, Long Cui, Hongzhong Wang, Deyu Meng and Xiangyong Cao, “HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [Code]

  5. Xiangyu Rui, Xiangyong Cao, Li Pang, Zeyu Zhu, Zongsheng Yue, and Deyu Meng, “Unsupervised hyperspectral pansharpening via low-rank diffusion model,” Information Fusion, 2024. [Code]

  6. Jiangjun Peng, Hailin Wang, Xiangyong Cao, Xinling Liu, Xiangyu Rui, and Deyu Meng, “Fast noise removal in hyperspectral images via representative coefficient total variation,” IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2022. [Code]

  7. Xiangyu Rui, Xiangyong Cao, Qi Xie, Zongsheng Yue, Qian Zhao, Deyu Meng, “Learning an explicit weighting scheme for adapting complex HSI noise,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [Code]

  8. Qian Zhao, Xiangyu Rui, Zhi Han, Deyu Meng, “Multilinear multitask learning by rank-product regularization,” IEEE transactions on neural networks and learning systems (TNNLS), 2019. [Paper]