[1] Fei Zhou, Z. Zheng and G. Qiu, "Removing Banding Artifacts in HDR Videos Generated From Inverse Tone Mapping," in IEEE Transactions on Broadcasting, vol. 70, no. 2, pp. 753-762, June 2024.
[2] Fei Zhou, S. Yuan, Z. Liang, J. Duan and G. Qiu, "A Dataset and Model for the Visual Quality Assessment of Inversely Tone-Mapped HDR Videos," in IEEE Transactions on Image Processing, vol. 33, pp. 366-381, 2024.
[3] Fei Zhou, W. Sheng, Z. Lu and G. Qiu, "A Database and Model for the Visual Quality Assessment of Super-Resolution Videos," in IEEE Transactions on Broadcasting, vol. 70, no. 2, pp. 516-532, June 2024.
[4] Z. Zhou, Fei Zhou* and G. Qiu, "Blind Image Quality Assessment Based on Separate Representations and Adaptive Interaction of Content and Distortion," IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 4, pp. 2484-2497, April 2024.
[5] Luo H, Fei Zhou*, Liao G, et al. Super-resolving compressed images via parallel and series integration of artefacts removal and resolution enhancement[J]. Signal Processing, 2023, 205: 108861.
[6] Gaofeng Cao, Fei Zhou*, Kanglin Liu, Anjia Wang, Leidong Fan, "A decoupled kernel prediction network guided by soft mask for single image HDR reconstruction, " ACM Transactions on Multimedia Computing Communications and Applications. July 2022.
[7] Gaofeng Cao, Fei Zhou*, Han Yan, Anjie Wang, and Leidong Fan, "KPN-MFI: A kernel prediction network with multi-frame interaction for video inverse tone mapping, " in Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22), 2022, pp. 806–812.
[8] Fei Zhou, Rongguo Yao, Guangsen Liao, Bozhi Liu, and Guoping Qiu. "Visual saliency via embedding hierarchical knowledge in a deep neural network," IEEE Transactions on Image Processing, vol. 29, pp. 8490-8505, Aug. 2020.
[9] Fei Zhou, Qun Chen, Bozhi Liu, Guoping Qiu. "Structure and texture-aware image decomposition via training a neural network," IEEE Transactions on Image Processing, vol. 29, pp. 3458–3473, 2020.
[10] Fei Zhou, Rongguo Yao, Bozhi Liu, and Guoping Qiu, "Visual quality assessment for super-resolved images: Database and method," IEEE Transactions on Image Processing, vol. 28, no. 7, pp. 3528–3541, 2019.
[11] Wen Sun, Qingmin Liao, Jing-Hao Xue, Fei Zhou*, "SPSIM: A superpixel-based similarity index for full-reference image quality assessment," IEEE Transactions on Image Processing, vol. 27, no. 9, Sept. 2018, pp. 4232-4244.
[12] W. Yang, T. Yuan, W. Wang, Fei Zhou* and Q. Liao, "Single-Image Super-Resolution by Subdictionary Coding and Kernel Regression," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 47, no. 9, pp. 2478-2488, Sept. 2017.
[13] Shaojun Liu, Fei Zhou*, and Qingmin Liao, "Defocus map estimation from a single image based on two-parameter defocus model," IEEE Transactions on Image Processing, vol. 25, no. 12, pp. Dec, 2016.
[14] Wenming Yang, Yapeng Tian, Fei Zhou*, Qingmin Liao, Hai Chen, and Chenglin Zheng, "Consistent coding scheme for single-image super-resolution via independent dictionaries," IEEE Transactions on Multimedia, vol. 18, no. 3, pp. 313-325, Mar. 2016.
[15] Fei Zhou, Shu-Tao Xia, and Qingmin Liao, "Nonlocal pixel selection for multisurface fitting based super-resolution," IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no.12, pp. 2013-2017. Dec 2014.
[16] Fei Zhou, Wenming Yang, and Qingmin Liao, "A coarse-to-fine subpixel registration method to recover local perspective deformation in image super-resolution," IEEE Transactions on Image Processing, vol.21, no.1, pp.53-66, Jan. 2012.
[17] Fei Zhou, Wenming Yang, and Qingmin Liao, "Interpolation-based image super-resolution using multisurface fitting, " IEEE Transactions on Image Processing, vol. 21, no. 7, pp.3312-3318, Jul. 2012.
[18] Shaojun Liu, Qingmin Liao, Jing-Hao Xue, Fei Zhou*, "Defocus map estimation from a single image using improved likelihood feature and edge-based basis," Pattern Recognition, vol. 107, pp. 107485: 1–17, 2020.
[19] Rui Zhu, Fei Zhou*, Wenming Yang, and Jing-Hao Xue, "On Hypothesis Testing for Comparing Image Quality Assessment Metrics," IEEE Signal Processing Magazine, vol. 35, no. 4, Jul. 2018, pp. 133-136.
[20] Wen Sun, Fei Zhou*, Qingmin Liao, "MDID: A multiply distorted image database for quality assessment," Pattern Recognition, vol.61, 2017, pp. 153-168.
[21] Hongming Luo, Guangsen Liao, Xianxu Hou, Bozhi Liu, Fei Zhou*, Guoping Qiu. "VHS to HDTV video translation using multi-task adversarial learning," in Proceedings of International Conference on Multimedia Modeling (MMM), 2020, pp. 77-86.
[22] Fei Zhou, Guangsen Liao, Jiang Duan, Bozhi Liu, Guoping Qiu, "Tone mapping high dynamic range images based on region-adaptive self-supervised deep learning," Signal Processing: Image Communication, vol.102, pp. 116595, 2022.
[23] Shuhong Yuan and Fei Zhou*, "Multiple clues inspired banding detector in high dynamic range videos," Electronics Letters, 2022.
[24] Fei Zhou, Jinghua Chen, Bozhi Liu, "Visual saliency via selecting and reweighting festures in hierarchical fusion network," IEEE Signal Processing Letters, vol. 28, pp. 1749-1753, 2021.
[25] Fei Zhou, Tingrong Yuan, Wenming Yang, and Qingmin Liao, "Single-Image super-resolution based on compact KPCA coding and kernel regression," IEEE Signal Processing Letters, vol. 22, no. 3, pp. 336-340, Mar. 2015.
[26] Fei Zhou, Zongqing Lu, Can Wang, Wen Sun, Shu-Tao Xia, and Qingmin Liao, "Image quality assessment based on inter-patch and intra-patch similarity," Plos One, vol. 10, no. 3, e0116312, Mar. 2015.
[27] Fei Zhou and Qingmin Liao, "Single-frame image super-resolution inspired by perceptual criteria," IET Image Processing, vol. 9, no. 1, pp. 1-11, Jan. 2015.
[28] Fei Zhou, Biao Wang, and Qingmin Liao, "Super-resolution for facial image using multilateral affinity function," Neurocomputing, vol.133, no. 10, pp. 194–208, Jun. 2014.
[29] Fei Zhou, Wenming Yang, and Qingmin Liao, "Single image super-resolution using incoherent sub-dictionaries learning," IEEE Transactions on Consumer Electronics, vol. 58, no. 3, pp. 891-897, Aug. 2012.
[30] Fei Zhou, Wenming Yang, and Qingmin Liao, "Super-resolution for face image by bilateral patches, " Electronics Letters, vol. 48, no. 18, pp.1125-1126, Aug. 2012.
[31] Wen Sun, Wenming Yang, Fei Zhou*, and Qingmin Liao, "Full-reference quality assessment of contrast changed images based on local linear model," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, pp. 1228-1232.
[32] Xiaomin Zhang, Fei Zhou*, Yang Dong, Hui Ma, and Qingmin Liao, "Microstructure analysis of silk samples using Mueller matrix determination and sparse representation," IEEE International Conference on Image Processing (ICIP), pp. 4108-4112, 2017.
[33] Shuo Chen, Fei Zhou*, Qingmin Liao, "Visual domain adaptation using weighted subspace alignment, " Visual Communications and Image Processing (VCIP), Nov. 2016，pp. 1-5.
[34] Wenming Yang, Yapeng Tian, Fei Zhou*, and Qingmin Liao, "Single-image super-resolution using clustering-based global regression and propagation filtering," 3rd Asian Conference on Pattern Recognition (ACPR), Kuala Lumpur Malaysia, pp.296-300.
[35] Tingrong Yuan, Wenming Yang, Fei Zhou*, and Qingmin Liao, "Single image super-resolution via sparse KPCA and regression," IEEE International Conference on Image Processing (ICIP), Paris, Oct2014, pp.2130-2134.
[36] Wenming Yang, Tingrong Yuan, Fei Zhou*, and Qingmin Liao, "Face hallucination via position-based dictionaries coding in kernel feature space," IEEE International Conference on Smart Computing, Hong Kong, Nov. 2014, pp.131-135.
[37] Fei Zhou, Biao Wang, Wenming Yang, and Qingmin Liao, "Iterative super-resolution for facial image by local and global regression,” 19th International Conference on Multimedia Modeling, 2013, pp.414-424.
[38] Kanglin Liu, Gaofeng Cao, Fei Zhou, Bozhi Liu, Jiang Duan, Guoping Qiu, "Towards disentangling latent space for unsupervised semantic face editing," IEEE Transactions on Image Processing, 2022.
[39] Yurong Ling, Fei Zhou, Kun Guo, Jing-Hao Xue, "ASSP: An adaptive sample statistics-based pooling for full-reference image quality assessment," Elsevier Neurocomputing, 2022.
[40] Gaofeng Cao, Fei Zhou, Kanglin Liu, Bozhi Liu, "A brightness-adaptive kernel prediction network for inverse tone mapping," Elsevier Neurocomputing, vol. 464, pp. 1-14, 2021.
[41] Wei Liu, Fei Zhou, T. Lu, Jiang Duan, and Guoping Qiu, "Image defogging quality assessment: Real-world database and method," IEEE Transactions on Image Processing, vol. 30, pp. 176-190, 2021.
[42] R. Zhu, Fei Zhou, and J.-H. Xue, "MvSSIM: A quality assessment index for hyperspectral images," Neurocomputing, vol. 272, pp. 250–257, 2018.
[43] Can Wang, Xiangjun Dong, Fei Zhou, Longbing Cao, and Chi-Hung Chi, "Coupled attribute similarity learning on categorical data," IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 4, pp. 781-796, Apr. 2015.
[44] Wenming Yang, Xiaola Huang, Fei Zhou, and Qingmin Liao. "Comparative competitive coding for personal identification by using finger vein and finger dorsal texture fusion," Information Sciences, vol.268, pp. 20–32, June 2014.
[45] Tao Wu, Fei Zhou, Qingmin Liao, "A fast 3D face reconstruction method from a single image using adjustable model," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, pp. 1656-1660.
[46] Xiangyi Fu, Fei Zhou, and Qingmin Liao, "Image amplification based on pixel-splitting, " IEEE International Conference on Image Processing (ICIP), Oct. 2014, pp.3919-3923.
[47] Tingrong Yuan, Fei Zhou, Wenming Yang, and Qingmin Liao, "Image super-resolution via Kernel regression of sparse coefficients," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2014, pp. 5794-5798.
深圳市自由探索项目：基于非局部像素选择和非线性编码系数映射的超分辨率方法（JCYJ20150331151358138），2015.08至2017.08，结题，主持
