Journal Papers

  • Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiachao Zhang, Jiantao Zhou and Ce Zhu. “Structured residual sparsity for video compressive sensing reconstruction”, Signal Processing (SP), vol. 222, pages. 109513, 2024. (IF: 4.400) (PDF) [Code]

  • Zhiyuan Zha, Bihan Wen, Xin Yuan, Saiprasad Ravishankar, Jiantao Zhou and Ce Zhu. “Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing”, IEEE Signal Processing Magazine (SPM), vol. 40, no. 1, pp. 32-44, Jan. 2023. (IF: 15.204) (PDF) [Code]

  • Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiachao Zhang, Jiantao Zhou, Xudong Jiang and Ce Zhu. “Multiple Complementary Priors for Multispectral Image Compressive Sensing Reconstruction”, IEEE Transactions on Cybernetics (TCYB), 2023. (IF: 19.118) (PDF) [Code]

  • Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiachao Zhang, Jiantao Zhou, Yilong Lu and Ce Zhu. “Nonlocal Structured Sparsity Regularization Modeling for Hyperspectral Image Denoising”, IEEE Transactions on Geoscience and Remote Sensing (TGRS), vol. 61, pp. 1-16, 2023. (IF: 8.125) (PDF) [Code]

  • Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiantao Zhou, Ce Zhu and Alex Chichung Kot. “Low-Rankness Guided Group Sparse Representation for Image Restoration”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 34, no. 10, pp. 7593-7607, Oct. 2023. (IF: 14.255) (PDF) [Code]

  • Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiantao Zhou, Ce Zhu and Alex Chichung Kot. “A Hybrid Structural Sparsification Error Model for Image Restoration”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 33, no. 9, pp. 4451-4465, 2022. (IF: 14.255) (PDF) [Code]

  • Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiachao Zhang and Ce Zhu. “Non-Convex Structural Sparsity Residual Constraint for Image Restoration”, IEEE Transactions on Cybernetics (TCYB), vol. 52, no. 11, pp. 12440-12453, Nov. 2022. (IF: 19.118) (PDF) [Code]

  • Zhiyuan Zha, Bihan Wen, Xin Yuan, Joey Tianyi Zhou, Jiantao Zhou and Ce Zhu. “Triply Complementary Priors for Image Restoration”, IEEE Transactions on Image Processing (TIP), vol. 30, pp. 5819-5834, 2021. (IF: 10.856) (PDF) [Code]

  • Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiantao Zhou and Ce Zhu. “Image Restoration via Reconciliation of Group Sparsity and Low-Rank Models”, IEEE Transactions on Image Processing (TIP), vol. 30, pp. 5223-5238, 2021. (IF: 10.856) (PDF) [Code]

  • Zhiyuan Zha, Xin Yuan, Jiantao Zhou, Ce Zhu and Bihan Wen. “Image restoration via simultaneous nonlocal self-similarity priors”, IEEE Transactions on Image Processing (TIP), vol. 29, pp. 8561-8576, 2020. (IF: 9.340) (PDF) [Code]

  • Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiantao Zhou and Ce Zhu. “Group Sparsity Residual Constraint With Non-Local Priors for Image Restoration”, IEEE Transactions on Image Processing (TIP), vol. 29, pp. 8960-8975, 2020. (IF: 9.340) (PDF) [Code]

  • Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiachao Zhang, Jiantao Zhou and Ce Zhu. “Image restoration using joint patch-group-based sparse representation”, IEEE Transactions on Image Processing (TIP), vol. 29, pp. 7735-7750, 2020. (IF: 9.340) (PDF) [Code]

  • Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiantao Zhou, Jiachao Zhang and Ce Zhu. “A benchmark for sparse coding: When group sparsity meets rank minimization”, IEEE Transactions on Image Processing (TIP), vol. 29, pp. 5094-5109, 2020. (IF: 9.340) (PDF) [Code]

  • Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiantao Zhou, Jiachao Zhang and Ce Zhu. “From rank estimation to rank approximation: Rank residual constraint for image restoration”, IEEE Transactions on Image Processing (TIP), vol. 29, pp. 3254-3269, 2020. (IF: 9.340) (PDF) (arXiv) [Code]

  • Zhiyuan Zha, Xinggan Zhang, Yu Wu, Qiong Wang, Xin Liu, Lan Tang and Xin Yuan. “Non-convex weighted Lp nuclear norm based ADMM framework for image restoration”, Neurocomputing, vol. 311, pp. 209-224, 2018. (IF: 3.241) (PDF) [Code]

  • Zhiyuan Zha, Xinggan Zhang, Qiong Wang, Lan Tang and Xin Liu. “Group-based sparse representation for image compressive sensing reconstruction with non-convex regularization”, Neurocomputing, vol. 296, pp. 55-63, 2018. (IF: 3.241) (PDF) [Code]

  • Zhiyuan Zha, Xinggan Zhang, Qiong Wang, Yechao Bai, Yang Chen, Lan Tang and Xin Liu. “Group sparsity residual constraint for image denoising with external nonlocal self-similarity prior”, Neurocomputing, vol. 275, pp. 2294-2306, 2018. (IF: 3.241) (PDF) [Code]

  • Zhiyuan Zha, Xin Liu, Xinggan Zhang, Yang Chen, Lan Tang, Yechao Bai, Qiong Wang and Zhenhong Shang. “Compressed sensing image reconstruction via adaptive sparse nonlocal regularization”, The Visual Computer, vol. 34, pp. 117–137, 2018. (IF: 1.036) (PDF) [Code]

  • Qiong Wang, Xinggan Zhang, Yu Wu, Lan Tang and Zhiyuan Zha*. “Nonconvex Weighted Lp Minimization Based Group Sparse Representation Framework for Image Denoising”, IEEE Signal Processing Letters (SPL), vol. 24, pp. 1686-1690, Nov. 2017. (IF: 2.528) (PDF) [Code]

  • Lanqing Guo, Zhiyuan Zha, Saiprasad Ravishankar, and Bihan Wen. “Exploiting Non-Local Priors via Self-Convolution for Highly-Efficient Image Restoration”, IEEE Transactions on Image Processing (TIP), vol. 31, pp. 1311-1324, 2022. (IF: 11.041) (PDF) [Code]

  • Chen Xiang, Wenjun Xia, Yan Liu, Hu Chen, Jiliu Zhou, Zhiyuan Zha, Bihan Wen, and Yi Zhang. “FONT-SIR: Fourth-Order Nonlocal Tensor Decomposition Model for Spectral CT Image Reconstruction”, IEEE Transactions on Medical Imaging (TMI), vol. 41, pp. 2144-2156, 2022. (IF: 11.037) (PDF)


Conference Papers

  • Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiantao Zhou and Ce Zhu. “Hyperspectral Image Denoising Via Nonlocal Rank Residual Modeling”, 48th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greence, pp. 1-5, 2023. (PDF) [Code]

  • Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiantao Zhou and Ce Zhu. “Simultaneous Nonlocal Low-Rank and Deep Priors for Poisson Denoising”, 47th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, pp. 2320-2324, 2022. (Oral) (PDF) [Code]

  • Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiantao Zhou and Ce Zhu. “Low-Rank Regularized Joint Sparsity for Image Denoising”, 28th IEEE International Conference on Image Processing (ICIP), Anchorage, Alaska, USA, pp. 1644-1648, 2021. (Oral) (PDF) [Code]

  • Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiantao Zhou and Ce Zhu. “Reconciliation of Group Sparsity and Low-Rank Models for Image Restoration”, 20th IEEE International Conference on Multimedia and Expo(ICME), London, United Kingdom, pp. 1-6, 2020. (Oral, Best Paper Runner Up Award, Top 0.5%, Total 834) (PDF) [Code]

  • Zhiyuan Zha, Xin Yuan, Jiantao Zhou, Ce Zhu and Bihan Wen. “A Hybrid Structural Sparse Error Model for Image Deblocking”, 45th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, pp. 2493-2497, 2020. (Oral) (PDF) [Code]

  • Zhiyuan Zha, Xin Yuan, Jiantao Zhou, Joey Tianyi Zhou, Bihan Wen and Ce Zhu. “The Power Of Triply Complementary Priors For Image Compressive Sensing”, 27th IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, pp. 983-987, 2020. (Oral) (PDF) [Code]

  • Zhiyuan Zha, Bihan Wen, Jiachao Zhang, Jiantao Zhou and Ce Zhu. “A Comparative Study for the Nuclear Norms Minimization Methods”, 26th IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, China, pp. 2050-2054, 2019. (Poster) (PDF) [Code]

  • Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiachao Zhang, Jiantao Zhou and Ce Zhu. “Simultaneous Nonlocal Self-Similarity Prior for Image Denoising”, 26th IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, China, pp. 1119-1123, 2019. (Poster) (PDF) [Code]

  • Zhiyuan Zha, Xinggan Zhang, Qiong Wang, Yechao Bai, Lan Tang and Xin Yuan. “Group sparsity residual with non-local samples for image denoising”, 43th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, AB, Canada, pp. 1353-1357, 2018. (Oral) (PDF) [Code]

  • Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiantao Zhou and Ce Zhu. “Joint patch-group based sparse representation for image inpainting”, 10th Asian Conference on Machine Learning (ACML), Bejing, China, pp. 145-160. 2018. (Oral) (PDF) [Code]

  • Zhiyuan Zha, Xin Liu, Xiaohua Huang, Henglin Shi, Yingyue Xu, Qiong Wang, Lan Tang and Xinggan Zhang, “Analyzing the Group Sparsity based on the Rank Minimization Methods”. 17th IEEE International Conference on Multimedia and Expo (ICME), Hong Kong, China, pp. 883-888, 2017. (Oral, Platinum Best Paper Award, Top 0.5%, Total 850) (PDF) [Code]

  • Zhiyuan Zha, Xin Liu, Ziheng Zhou, Xiaohua Huang, Jingang Shi, Zhenhong Shang, Lan Tang, Yechao Bai, Qiong Wang and Xinggan Zhang. “Image denoising via group sparsity residual constraint”, 42th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, USA, pp. 1787-1791, 2017. (Poster) (PDF) [Code]

  • Zhiyuan Zha, Xinggan Zhang, Qiong Wang, Yechao Bai and Lan Tang. “Image denoising using group sparsity residual and external nonlocal self-similarity prior”, 24th IEEE International Conference on Image Processing (ICIP), Bejing, China, pp. 2956-2960. IEEE, 2017. (Poster) (PDF) [Code]

  • Lanqing Guo, Zhiyuan Zha, Saiprasad Ravishankar, and Bihan Wen. “Self-convolution: A highly-efficient operator for non-local image restorationg”, 46th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, Ontario, Canada, pp. 1860-1864, 2021. (Oral) (PDF) [Code]