[J18] Zhu B, Chen E, Huang M, Ren X, Yu S, Sun Q. GLUQ: Global-local representation learning for UHD image quality assessment. Entropy 28 (8): 861, 2026. Code

[J17] Yu S, Huang M, Chen E, Zhu B, Liang X, Xie Y. Benchmarking YOLOs in breast ultrasound lesion segmentation. Quantitative Imaging in Medicine and Surgery 16(7): 574, 2026.

[J16] Zhu B, Chen L, Li X, Zhao S, Yu S, Sun Q. ADFF-Net: An attention-based dual-stream feature fusion network for respiratory sound classification. Technologies 14(1): 12, 2025

[J15] Chen Z, Yu S. Taylor expansion-based Kolmogorov–Arnold network for blind image quality assessment. Journal of Visual Communication and Image Representation 26: 104571, 2025. Code

[J14] Yu S, Meng J, Fan W, Chen Y, Zhu B, Yu H, Xie Y, Sun Q. Speech emotion recognition using dual-stream representation and cross-attention fusion. Electronics 13(11): 2191, 2024. Code

[J13] Zhang T, Meng J, Yang Y, Yu S. Contrastive learning penalized cross-entropy with diversity contrastive search decoding for diagnostic report generation of reduced token repetition. Applied Sciences 14(7): 2817, 2024. Code

[J12] Yu S, Wang J, Gu J, Jin M, Ma Y, Yang L, Li J. A hybrid indicator for realistic blurred image quality assessment. Journal of Visual Communication and Image Representation 94: 103848, 2023. Code

[J11] Yu S, Jin M, Wen T, Zhao L, Zou X, Liang X, Xie Y, Pan W, Piao C. Accurate breast cancer diagnosis using a stable feature ranking algorithm. BMC Medical Informatics and Decision Making 23(1): 64, 2023.

[J10] Zhang Z, Yu S, Qin W, Liang X, Xie Y, Cao G. Self-supervised CT super-resolution with hybrid model. Computers in Biology and Medicine 138: 104775, 2021.

[J09] Zhang Z, Liang X, Qin W, Yu S, Xie Y. matFR: a MATLAB toolbox for feature ranking. Bioinformatics 36(19): 4968-9, 2020. Code

[J08] Yu S, Chen M, Zhang E, Wu J, Yu H, Yang Z, Ma L, Gu X, Lu W. Robustness study of noisy annotation in deep learning based medical image segmentation. Physics in Medicine & Biology 65(17): 175007, 2020.

[J07] Liang X, Li N, Zhang Z, Yu S, Qin W, Li Y, Chen S, Zhang H, Xie Y. Shading correction for volumetric CT using deep convolutional neural network and adaptive filter. Quantitative Imaging in Medicine and Surgery 9(7): 1242, 2019.

[J06] Liang X, Jiang Y, Zhao W, Zhang Z, Luo C, Xiong J, Yu S, Yang X, Sun J, Zhou Q, Niu T. Scatter correction for a clinical cone‐beam CT system using an optimized stationary beam blocker in a single scan. Medical Physics 46(7): 3165-79, 2019.

[J05] Yu S, Liu L, Wang Z, Dai G, Xie Y. Transferring deep neural networks for the differentiation of mammographic breast lesions. Science China Technological Sciences 62(3): 441-7, 2019.

[J04] Yu S, Dai G, Wang Z, Li L, Wei X, Xie Y. A consistency evaluation of signal-to-noise ratio in the quality assessment of human brain magnetic resonance images. BMC medical imaging 18(1): 17, 2018.

[J03] Zhang Z, Dai G, Liang X, Yu S, Li L, Xie Y. Can signal-to-noise ratio perform as a baseline indicator for medical image quality assessment. IEEE Access 6: 11534-43, 2018.

[J02] Liang X, Zhang Z, Niu T, Yu S, Wu S, Li Z, Zhang H, Xie Y. Iterative image-domain ring artifact removal in cone-beam CT. Physics in Medicine & Biology 62(13): 5276-92, 2017.

[J01] Yu S, Wu S, Wang L, Jiang F, Xie Y, Li L. A shallow convolutional neural network for blind image sharpness assessment. PloS one 12(5): e0176632, 2017. Code

[C02] Yu S, Chen Z, Yang Z, Gu J, Feng B, Sun Q. Exploring Kolmogorov-Arnold networks for realistic image sharpness assessment. ICASSP pp. 1-5, 2025. Code

[C01] Yu S, Jiang F, Li L, Xie Y. CNN-GRNN for image sharpness assessment. ACCV pp. 50-61, 2016. Code