副教授 博士生导师 硕士生导师
Mehrunnisa, Mikolaj Leszczuk, Dawid Juszka, and Yi Zhang. “Improved Binary Classification of Underwater Images Using a Modified ResNet-18 Model.” Electronics 14, no. 15 (2025): 2954. PDF
Y. Zhang, D. M. Chandler, and Mylene C.Q. Farias, “Motion deblurring via multiscale residual convolutional dictionary learning,” Digital Signal Processing, 165 (2025), 105337. PDF
Y. Zhang, Q. Yang, D. M. Chandler, and X. Mou, “Reference-based multi-stage progressive restoration for multi-degraded images,” IEEE Transactions on Image Processing, vol. 33, 2024. PDF
Q. Yang, Y. Zhang, D. M. Chandler, and M. C. Farias, “SSRT: Intra- and cross-view attention for stereo image super-resolution,” Multimedia Tools and Applications, (2024): 1-29. PDF
Y. Zhang, D. M. Chandler, and M. Leszczuk, “Retinex-based underwater image enhancement via adaptive color correction and hierarchical U-shape transformer,” Optics Express, vol. 32, no. 14, July 2024. PDF
Y. Zhang, D. M. Chandler, and X. Mou, “Deep neural network based distortion parameter estimation for blind quality measurement of stereoscopic images,” Signal Processing: Image Communication, 126 (2024), 117138. PDF
Y. Zhang, D. M. Chandler, and X. Mou, “Deep steerable pyramid wavelet network for unified JPEG compression artifact reduction,” Signal Processing: Image Communication, 118 (2023), 117011. PDF
Y. Zhang, D. M. Chandler, and X. Mou, “Multi-domain residual encoder–decoder networks for generalized compression artifact reduction,” Journal of Visual Communication and Image Representation, vol. 83, February 2022, 103425. PDF
Y. Zhang, D. M. Chandler, and X. Mou, “Quality assessment of multiply and singly distorted stereoscopic images via adaptive construction of cyclopean views,” Signal Processing: Image Communication, 94 (2021), 116175. PDF
Y. Zhang, X. Mou, and D. M. Chandler, “Learning No-Reference Quality Assessment of Multiply and Singly Distorted Images with Big Data,” IEEE Transactions on Image Processing, vol. 29, no. 1, pp. 2676~2691, December 2020. PDF
R. Liu, Q. Miao, Y. Zhang, M. Gong, and P. Xu, “A Semi-Supervised High-Level Feature Selection Framework for Road Centerline Extraction,” IEEE Geoscience and Remote Sensing Letters, vol. 17, no. 5, May, 2020. PDF
Y. Zhang, D. M. Chandler, “Opinion-Unaware Blind Quality Assessment of Multiply and Singly Distorted Images via Distortion Parameter Estimation,” IEEE Transactions on Image Processing, vol. 27, no. 11, November 2018. PDF
Y. Zhang, D. M. Chandler, and X. Mou, “Quality Assessment of Screen Content Images via Convolutional-Neural-Network-Based Synthetic/Natural Segmentation,” IEEE Transactions on Image Processing, vol. 27, no. 10, November 2018. PDF
J. Holloway, V. Kannan, Y. Zhang, D. M. Chandler, and S. Sohoni, “GPU Acceleration of the Most Apparent Distortion Image Quality Assessment Algorithm,” Journal of Imaging, 4(10), 2018. PDF
R. S. Allison, K. Brunnström, D. M. Chandler, H. R. Colett, P. J. Corriveau, S. Daly, J. Goel, J. Y. Long; L. M. Wilcox, Y. M. Yaacob, S. Yang, and Y. Zhang, “Perspectives on the definition of visually lossless quality for mobile and large format displays,” Journal of Electronic Imaging, 27(05): 053035-1~053035-23, 2018. PDF
Y. Zhang, T. D. Phan, and D. M. Chandler, “Reduced reference image quality assessment based on distortion families of local perceived sharpness”, Signal Processing: Image Communication, 55(2017) 130-145. PDF
Y. Zhang, D. M. Chandler, “3D-MAD: A full reference stereoscopic image quality estimator based on binocular lightness and contrast perception,” IEEE Transactions on Image Processing, vol. 24, no. 11, November 2015. PDF
Y. Zhang, A. K. Moorthy, D. M. Chandler, and A. C. Bovik, “C-DIIVINE: No-Reference Image
Y. Zhang, D. M. Chandler, “No-reference image quality assessment based on log-derivative statistics of natural scenes,” Journal of Electronic Imaging, 22(4), 043025, 2013. PDF
张君昌, 张译, 基于自适应权重更新和遗传算法的人脸检测, 西北工业大学学报, 29(2), 2011.
张君昌, 张译, 基于改进AdaBoost算法的人脸检测，计算机仿真, 28(7), 2011.
R. Liu, Y. Zhang, D. M. Chandler, Q. Miao, and T. Liu, “LaG-DESIQUE: A Local-and-Global Blind Image Quality Evaluator Without Training on Human Opinion Scores”, 6th CCF Academic Conference on Big Data, Xi'an, Oct. 11-13, 2018.
J. Tang, P. Xu, W. Nie, Y. Zhang, and R. Liu, “A Review of Recent Advances in Identity Identification Technology Based on Biological Features”, 6th CCF Academic Conference on Big Data, Xi'an, Oct. 11-13, 2018.
Y. Zhang, D. M. Chandler, “Learning natural statistics of binocular contrast for no reference quality assessment of stereoscopic image”, International Conference on Image Processing, Beijing, Sep. 17-20, 2017. PDF
Y. Zhang, Y. M. Yaacob, and D. M. Chandler, “Masked detection of compression artifacts on laboratory, consumer, and mobile displays (Invited),” IS&T Conference of Human Vision and Electronic Imaging, CA, USA, 2017.
Y. M. Yaacob, Y. Zhang, and D. M. Chandler, “On the perceptual factors underlying the quality of post-compression enhancement of textures,” IS&T Conference of Human Vision and Electronic Imaging, CA, USA, 2017. PDF
Y. Zhang, D. M. Chandler, “An algorithm for no-reference image quality assessment based on log-derivative statistics of natural scene,” SPIE Conference on Image Quality and System Performance, Burlingame, CA, USA, February 2013. PDF
J. Zhang, Y. Zhang, and Z. Ye, “Adaptive Speech Enhancement Based on Classification of Voiced/Unvoiced Signal”, International Conference on Multimedia and Signal Processing (CMSP), vol. 2, pp. 310-314, Guilin, May 2011.
J. Zhang, Y. Zhang, “Human Face Detection Based on Genetic Algorithm”, The 2nd International Conference on Information Science and Engineering, vol.10, Hangzhou, December 2010.
Y. Zhang, M. M. Alam, and D. M. Chandler, “Visually lossless perceptual image coding based on natural-scene masking models,” Chapter 1 of the book Recent Advance in Image and Video Coding, IntechOpen, DOI: 10.5772/65362, 2016.
Patent
张译，杨奇学，牟轩沁，“一种基于参考纹理迁移的混合失真图像复原方法”，ZL202310919504.2
张译，禹冬晔，牟轩沁，“一种无参考立体混合失真图像质量评价方法”，ZL202011097823.2
张译，禹冬晔，牟轩沁，“一种基于可控金字塔小波网络的JPEG图像压缩伪影消除方法”，ZL202111155935.3
张译，禹冬晔，牟轩沁，“一种基于级联残差编解码网络的JPEG图像压缩伪影消除算法”，ZL202011530001.9
