[1]Y Zhao, G Chen, B Wu, Q Jin（通讯）, 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（通讯）, 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（通讯）, 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（通讯）, 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（通讯）, T Zeng. Total curvature-driven blind image deblurring[J]. Journal of Computational and Applied Mathematics, 2025: 117089.
[6] C Luo, Q Jin(共同一作), 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（通讯）, 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（通讯）, D Liang, ZX Cui. Matrix completion‐informed deep unfolded equilibrium models for self‐supervised k k‐space interpolation in MRI[J]. Medical Physics, 2025, 52(7): e17924.
[9] Y Guo, G Chen, T Zeng, Q Jin（通讯）, MKP Ng. Quaternion nuclear norm minus frobenius norm minimization for color image reconstruction[J]. Pattern Recognition, 2025, 158: 110986.
[10] Liu Y, Jin Q（通讯）, Yang J. Quaternion CNN With Salient Features for Color Image Denoising[C]//ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025: 1-5.
[11] Y Guo, C Wu, Y Zhao, T Wang, G Chen, Q Jin（通讯）, 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（通讯）, T Zeng. Kernel correlation–dissimilarity for Multiple Kernel k-Means clustering[J]. Pattern Recognition, 2024: 110307.
[13] Y Guo, Q Jin（通讯）, JM Morel, T Zeng, G Facciolo. How to best combine demosaicing and denoising?[J]. Inverse Problems and Imaging, 2023: 0-0.
[14] Guo Y, Jin Q（通讯）, 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] Tingting Zhang, Jie Chen, Caiying Wu, Zhifei He,Tieyong Zeng and Qiyu Jin（通讯）. Edge adaptive hybrid regularization model for image deblurring. Inverse Problem, 2022, 38 (6), 065010.
[16] Zhigang Jia, Qiyu Jin(共同一作), Michael K. Ng, Xi-le Zhao. Non-Local Robust Quaternion Matrix Completion for Large-Scale Color Image and Video Inpainting. IEEE Transactions on Image Processing, 2022,31:3868 - 3883.
[17]Jing Guo, Yu Guo, Qiyu Jin（通讯）, Michael Kwok-Po Ng, Shuping Wang. Gaussian Patch Mixture Model Guided Low-Rank Covariance Matrix Minimization for Image Denoising. SIAM Journal on Imaging Sciences, 2022, 15 (4), 1601-1622.
[18]Jin Q , Guo Y , Facciolo G , et al. A Mathematical Analysis and Implementation of Residual Interpolation Demosaicking Algorithms. Image Processing On Line, 2021, 11:234-283.
[19]Jin Q, Grama I, Liu Q. 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（通讯）. Fast, Nonlocal and Neural: A Lightweight High Quality Solution to Image Denoising. IEEE Signal Processing Letters 28, 2021:1515-1519.
[21]Q Jin, L. Bai, I. Grama, Q. Liu, J. Yang. Removing random-valued impulse noise with reliable weight. Inverse Problems and Imaging, 2020, 14(2): 171-203.=-32 Qiyu Jin, Gabriele Facciolo and Jean-Michel Morel, A review of an old dilemma: demosaicking first, or denoising first? CVPR 2020 NTIRE Workshop (Oral)
[22]Q. Jin, I. Grama, Q. Liu. Convergence Theorems For The Non-Local Means Filter. Inverse Problems and Imaging, 2018, 12(4): 853-881.
[23]Qiyu Jin, Osamu Miyashita, Florence Tama, Jie Yang, Slavica Jonic. Poisson image denoising by piecewise principal component analysis and its application in single-particle X-ray diffraction imaging. 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. Plos one, 2017,12(7): e0179051.
[25]Qiyu Jin, Ion Grama, Charles Kervrann and Quansheng Liu, Nonlocal Means and Optimal Weights for Noise Removal. Siam Journal on Imaging Sciences, 2017, 10(4):1878-1920
[26]Jin Q, Grama I, Liu Q. Controlled Total Variation regularization for image deconvolution[J]. Imaging Science Journal The, 2016, 64(2):68-81.
[27]Qiyu Jin, Carlos Oscar S Sorzano, Joseacute; Miguel de la Rosa-Trevin, Joseacute; Roman Bilbao-Castro, Rafael Nunez-Ramirez, Oscar Llorca, Florence Tama, and Slavica Jonic. Iterative elastic 3d-to-2d alignment method using normal modes for studying structural dynamics of large macromolecular complexes. Structure, 2014, 22(3):496-506
[28]Qiyu Jin, Ion Grama, and Quansheng Liu. A new Poisson noise filter based on weights optimization. Journal of Scientific Computing, 2014, 58(3):548-573
[29]Q. Jin, C.O.S. 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 (ICIP) 2014. IEEE, 2015:2075-2079.
[30]Q Jin, L Bai, J Yang, I Grama, & Q Liu. (2014). A New Method for Removing Random-Valued Impulse Noise. International Conference on Neural Information Processing.
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