Prof. Xin Yuan

Florida State University, USA

Email: [email protected]

Qualifications

1998  Ph.D., University of Pittsburgh, USA

1995  M.S., University of Pittsburgh, USA

1992  M.S., Shanghai Jiaotong University, P. R. China

1989  Bachelor of Science, Shanghai Jiaotong University, P.R. China

Publications (Selected)

1. Zha, Z., Wen, B., Yuan, X., et al. (2024). Structured residual sparsity for video compressive sensing reconstruction. Signal Processing, 222, Article 109513.
2. Zha, Z., Wen, B., Yuan, X., et al. (2024). Multiple Complementary Priors for Multispectral Image Compressive Sensing Reconstruction. IEEE Transactions on Cybernetics, 54(5), 3338–3351.
3. Cheng, Z., Chen, B., Lu, R., et al. (2023). Recurrent Neural Networks for Snapshot Compressive Imaging. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(2), 2264–2281.
4. Yu, Z., Liu, D., Cheng, L., et al. (2022). Deep learning enabled reflective coded aperture snapshot spectral imaging. Optics Express, 30(26), 46822–46837.
5. Yuan, X., Liu, Y., Suo, J., et al. (2022). Plug-and-Play Algorithms for Video Snapshot Compressive Imaging. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(10), 7093–7111.
6. Zhang, B., Yuan, X., Deng, C., et al. (2022). End-to-end snapshot compressed super-resolution imaging with deep optics. Optica, 9(4), 451–454.
7. Zha, Z., Wen, B., Yuan, X., et al. (2023). Low-Rankness Guided Group Sparse Representation for Image Restoration. IEEE Transactions on Neural Networks and Learning Systems, 34(10), 7593–7607.
8. Xu, Q., Yuan, X., & Ouyang, C. (2022). Class-Aware Domain Adaptation for Semantic Segmentation of Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, 60, Article 4500317.
9. Zhang, Z., Deng, C., Liu, Y., et al. (2021). Ten-mega-pixel snapshot compressive imaging with a hybrid coded aperture. Photonics Research, 9(11), 2277–2287.
10. Zha, Z., Yuan, X., Wen, B., et al. (2022). Nonconvex Structural Sparsity Residual Constraint for Image Restoration. IEEE Transactions on Cybernetics, 52(11), 12440–12453.
11. Ma, X., Yuan, X., Fu, C., et al. (2021). LED-based compressive spectral- temporal imaging. Optics Express, 29(7), 10698–10715.
12. Yuan, X., Brady, D. J., & Katsaggelos, A. K. (2021). Snapshot Compressive Imaging: Theory, Algorithms, and Applications. IEEE Signal Processing Magazine, 38(2), 65–88.
13. Zha, Z., Wen, B., Yuan, X., et al. (2022). A Hybrid Structural Sparsification Error Model for Image Restoration. IEEE Transactions on Neural Networks and Learning Systems, 33(9), 4451–4465.
14. Yang, S., Yan, X., Qin, H., et al. (2021). Mid-Infrared Compressive Hyperspectral Imaging. Remote Sensing, 13(4), Article 741.
15. Zheng, S., Liu, Y., Meng, Z., et al. (2021). Deep plug-and-play priors for spectral snapshot compressive imaging. Photonics Research, 9(2), B18–B29.
16. He, W., Yokoya, N., & Yuan, X. (2021). Fast Hyperspectral Image Recovery of Dual-Camera Compressive Hyperspectral Imaging via Non-Iterative Subspace-Based Fusion. IEEE Transactions on Image Processing, 30, 7170–7183.
17. Qiao, M., Sun, Y., Ma, J., et al. (2021). Snapshot Coherence Tomographic Imaging. IEEE Transactions on Computational Imaging, 7, 624–637.
18. Zha, Z., Wen, B., Yuan, X., et al. (2021). Image Restoration via Reconciliation of Group Sparsity and Low-Rank Models. IEEE Transactions on Image Processing, 30, 5223–5238.
19. Zha, Z., Wen, B., Yuan, X., et al. (2021). Triply Complementary Priors for Image Restoration. IEEE Transactions on Image Processing, 30, 5819–5834.
20. Xu, Q., Yuan, X., Ouyang, C., et al. (2020). Attention-Based Pyramid Network for Segmentation and Classification of High-Resolution and Hyperspectral Remote Sensing Images. Remote Sensing, 12(21), Article 3501.
21. Meng, Z., Qiao, M., Ma, J., et al. (2020). Snapshot multispectral endomicroscopy. Optics Letters, 45(14), 3893–3896.
22. Geng, C., Yuan, X., & Huang, H. (2020). Exploiting Channel Correlations for NLOS ToA Localization With Multivariate Gaussian Mixture Models. IEEE Wireless Communications Letters, 9(1), 70–73.
23. Sun, X., Yang, Q., Liu, S., et al. (2020). Improving Low-Resource Speech Recognition Based on Improved NN-HMM Structures. IEEE Access, 8, 73005–73014.

Profile Details:

https://www.cs.fsu.edu/department/faculty/xyuan/
https://www.cs.fsu.edu/~xyuan/
https://scholar.google.com/citations?user=3pkXlIEAAAAJ&hl=en

WOS ResearcherID: HOF-1618-2023