[1] Y Zhao, G Chen, B Wu, Q Jin (Corresponding Author), T Zeng. Msa-Splatting: Multi-Scale Adaptive Gaussian Splatting for High-Fidelity View Synthesis[J]. IEEE Transactions on Multimedia, 2026.
[2] T Zhang, J Lu, Q Jin (Corresponding Author), T Zeng. A Survey of Single Image Blind Motion Deblurring from Traditional to Deep Learning[J]. ACM Computing Surveys, 2026, 58(9): 1–38.
[3] Y Guo, Y Liu, G Chen, T Zeng, Q Jin (Corresponding Author), MKP Ng. Quaternion Adaptive Approximation Normalization Graph Guided Implicit Low Rank for Robust Matrix Completion[J]. Pattern Recognition, 2026: 113210.
[4] K Li, D Liang, G Chen, Q Jin (Corresponding Author), T Zeng. Frequency-spatial synergistic network for accelerated multi-contrast MRI reconstruction[J]. Computerized Medical Imaging and Graphics, 2025: 102682.
[5] C Wu, L Zhang, T Zhang, J Lu, G Chen, J Liu, Q Jin (Corresponding Author), T Zeng. Total curvature-driven blind image deblurring[J]. Journal of Computational and Applied Mathematics, 2025: 117089.
[6] C Luo, Q Jin (Co-first Author), T Xie, X Wang, H Wang, C Liu, L Tang, G Chen, ZX Cui, D Liang. Towards Globally Predictable k-Space Interpolation: A White-Box Transformer Approach[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention. Cham: Springer Nature Switzerland, 2025: 562–572.
[7] Y Guo, C Wu, XL Zhao, Q Jin (Corresponding Author), G Chen, MKP Ng. Sparse Aerial Ground Height Recovery Using Normalized Weighted Non-local Laplacian[J]. IEEE Transactions on Instrumentation and Measurement, 2025.
[8] C Luo, H Wang, Y Liu, T Xie, G Chen, Q Jin (Corresponding Author), D Liang, ZX Cui. Matrix completion‐informed deep unfolded equilibrium models for self‐supervised k‐space interpolation in MRI[J]. Medical Physics, 2025, 52(7): e17924.
[9] Y Guo, G Chen, T Zeng, Q Jin (Corresponding Author), MKP Ng. Quaternion nuclear norm minus frobenius norm minimization for color image reconstruction[J]. Pattern Recognition, 2025, 158: 110986.
[10] Liu Y, Q Jin (Corresponding Author), Yang J. Quaternion CNN With Salient Features for Color Image Denoising[C]//ICASSP 2025–2025 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2025: 1–5.
[11] Y Guo, C Wu, Y Zhao, T Wang, G Chen, Q Jin (Corresponding Author), Y Dong. The Optimal Weights of Non-local Means for Variance Stabilized Noise Removal[J]. Journal of Scientific Computing, 2024, 101(2): 28.
[12] R Su, Y Guo, C Wu, Q Jin (Corresponding Author), T Zeng. Kernel correlation–dissimilarity for Multiple Kernel k-Means clustering[J]. Pattern Recognition, 2024: 110307.
[13] Y Guo, Q Jin (Corresponding Author), JM Morel, T Zeng, G Facciolo. How to best combine demosaicing and denoising?[J]. Inverse Problems and Imaging, 2023.
[14] Guo Y, Q Jin (Corresponding Author), Morel J M, et al. Joint demosaicking and denoising benefits from a two-stage training strategy[J]. Journal of Computational and Applied Mathematics, 2023, 434: 115330.
[15] T Zhang, J Chen, C Wu, Z He, T Zeng, Q Jin (Corresponding Author). Edge adaptive hybrid regularization model for image deblurring[J]. Inverse Problems, 2022, 38(6): 065010.
[16] Z Jia, Q Jin (Co-first Author), MK Ng, X Zhao. Non-Local Robust Quaternion Matrix Completion for Large-Scale Color Image and Video Inpainting[J]. IEEE Transactions on Image Processing, 2022, 31: 3868–3883.
[17] J Guo, Y Guo, Q Jin (Corresponding Author), MK Ng, S Wang. Gaussian Patch Mixture Model Guided Low-Rank Covariance Matrix Minimization for Image Denoising[J]. SIAM Journal on Imaging Sciences, 2022, 15(4): 1601–1622.
[18] Q Jin, Y Guo, G Facciolo, et al. A Mathematical Analysis and Implementation of Residual Interpolation Demosaicking Algorithms[J]. Image Processing On Line, 2021, 11: 234–283.
[19] Q Jin, I Grama, Q Liu. Poisson Shot Noise Removal by an Oracular Non-Local Algorithm[J]. Journal of Mathematical Imaging and Vision, 2021, 3(4): 1–20.
[20] Y Guo, A Davy, G Facciolo, JM Morel, Q Jin (Corresponding Author). Fast, Nonlocal and Neural: A Lightweight High Quality Solution to Image Denoising[J]. IEEE Signal Processing Letters, 2021, 28: 1515–1519.
[21] Q Jin, L Bai, I Grama, Q Liu, J Yang. Removing random-valued impulse noise with reliable weight[J]. Inverse Problems and Imaging, 2020, 14(2): 171–203.
[22] Q Jin, I Grama, Q Liu. Convergence Theorems For The Non-Local Means Filter[J]. Inverse Problems and Imaging, 2018, 12(4): 853–881.
[23] Q Jin, O Miyashita, F Tama, J Yang, S Jonic. Poisson image denoising by piecewise principal component analysis and its application in single-particle X-ray diffraction imaging[J]. IET Image Processing, 2018, 12(12): 2264–2274.
[24] Q Jin, I Grama, Q Liu. Optimal Weights Mixed Filter for Removing Mixture of Gaussian and Impulse Noises[J]. PLOS ONE, 2017, 12(7): e0179051.
[25] Q Jin, I Grama, C Kervrann, Q Liu. Nonlocal Means and Optimal Weights for Noise Removal[J]. SIAM Journal on Imaging Sciences, 2017, 10(4): 1878–1920.
[26] Q Jin, I Grama, Q Liu. Controlled Total Variation regularization for image deconvolution[J]. The Imaging Science Journal, 2016, 64(2): 68–81.
[27] Q Jin, COS Sorzano, J de la Rosa-Trevín, JR Bilbao-Castro, R Núñez-Ramírez, O Llorca, F Tama, S Jonic. Iterative elastic 3D-to-2D alignment method using normal modes for studying structural dynamics of large macromolecular complexes[J]. Structure, 2014, 22(3): 496–506.
[28] Q Jin, I Grama, Q Liu. A new Poisson noise filter based on weights optimization[J]. Journal of Scientific Computing, 2014, 58(3): 548–573.
[29] Q Jin, COS Sorzano, I Callebaut, F Tama, S Jonic. Elastic image registration to fully explore macromolecular dynamics by electron microscopy[C]//IEEE International Conference on Image Processing. IEEE, 2015: 2075–2079.
[30] Q Jin, L Bai, J Yang, I Grama, Q Liu. A New Method for Removing Random-Valued Impulse Noise[C]//International Conference on Neural Information Processing. 2014.
