广西师范大学图像评价研究课题组

Image Assessment Research at Guangxi Normal University

Professor Dr. Zhenjun Tang (唐振军)  (ResearchGate   ORCID   Semantic Scholar   Google scholar)

Email: tangzj230@163.com, zjtang@gxnu.edu.cn

主要研究人员(Researchers)

期刊论文(Journal Papers)

  1. J. Ma, Y. Chen, X. Liang, X. Q. Zhang, Z. Tang*, Semantic-guided channel cross-attention integration network for no-reference image quality assessment, IEEE Internet of Things Journal, DOI:10.1109/JIOT.2026.3701690, 2026. （SCI+EI, CCF-C类期刊）

  2. X. Liang, H. Pan, Y. Chen, Z. Tang*, No-reference screen content image quality assessment via edge and visual salient feature fusion network, IEEE Internet of Things Journal, vol.13, no.14, pp.31560-31571, 2026. （SCI+EI, CCF-C类期刊）

  3. Q. Yu, Y. Chen, J. Ma, X. Liang, Z. Tang*, Multi-scale and global feature fusion network with multiple attentions for no-reference image quality assessment, Expert Systems with Applications, vol.307, Article ID.131011, 2026. （SCI+EI, CCF-C类期刊）

  4. C. Wu, Y. Chen, K. Wu, X. Liang, Z. Tang*, HAR-HFNet: Hybrid-attention refinement and hierarchical fusion network for no-reference image quality assessment, IEEE Signal Processing Letters, vol.33, pp.918-922, 2026. （SCI+EI, CCF-C类期刊）

  5. Y. Chen, L. Chen, X. Liang, H. Tang, Z. Tang*, Unifying statistical and refined semantic features for lightweight no-reference image quality assessment, IEEE Internet of Things Journal, vol.12, no.15, pp. 31536 –31547, 2025. （SCI+EI, CCF-C类期刊）

  6. Q. Yu, P. Huang, Y. Chen, X. Liang, Z. Tang*, MB-FAENet: Multi-branch feature and attention enhancement network for no-reference image quality assessment, IEEE Signal Processing Letters, vol.32, pp.3954-3958, 2025. （SCI+EI, CCF-C类期刊）

  7. J. Ma, Y. Chen, L. Chen, Z. Tang*, Dual-attention pyramid transformer network for no-reference image quality assessment, Expert Systems with Applications, vol.257, Article ID. 125008, 2024. （SCI+EI, CCF-C类期刊）

  8. Z. Tang*, Y. Chen, Z. Chen, X. Liang, X. Q. Zhang, Lightweight Transformer and multi-head prediction network for no-reference image quality assessment, Neural Computing and Applications, vol.36, pp.1931-1946, 2024. （SCI+EI, CCF-C类期刊）

  9. Z. Tang*, Z. Chen, Z. Li, B. Zhong, X. Q. Zhang, X. P. Zhang, Unifying dual-attention and siamese transformer network for full-reference image quality assessment, ACM Transactions on Multimedia Computing Communications and Applications, vol.19, no.6, Article no.205, pp.1-24, 2023. （SCI+EI, CCF-B类期刊）

  10. M. Yu, Z. Tang*, X. Q. Zhang, B. Zhong, X. P. Zhang, Perceptual hashing with complementary color wavelet transform and compressed sensing for reduced-reference image quality assessment, IEEE Transactions on Circuits and Systems for Video Technology, vol.32, no.11, pp. 7559-7574, 2022.（SCI一区+EI, CCF-B类期刊）

  11. Z. Tang*, Z. Huang, H. Yao, X. Q. Zhang, L. Chen, C. Yu, Perceptual Image Hashing with Weighted DWT Features for Reduced-Reference Image Quality Assessment, The Computer Journal, vol. 61, no.11, pp.1695–1709, 2018. （SCI+EI, CCF-B类期刊）


会议论文(Conference Papers)

  1. C. Wu, Y. Chen, K. Wu, Z. Tang*, Triplet-based feature refinement and quality difference perception network for no-reference image quality assessment, In: Proceedings of International Joint Conference on Neural Networks (IJCNN 2026), 2026. (CCF-C, EI)

  2. X. Liang, H. Pan, H. Yang, Y. Chen, Z. Tang*, A no-reference screen content image quality assessment method based on regional distortion perception, In: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2026), pp. 10542-10546, 2026. (CCF-B, EI)

  3. K. Wu, Y. Chen, C. W, P. Huang, Z. Tang*, Structure-Guided Graph Refinement Network for Facial Aesthetic Assessment, In: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2026), pp. 12297-12301, 2026. (CCF-B, EI)

  4. Q. Yu, Y. Chen, J. Ma, Z. Tang*, No-reference image quality assessment via attention-based feature enhancement and feature interaction, In: Proceedings of the 32nd International Conference on Multimedia Modeling (MMM 2026), Lecture Notes in Computer Science, vol.16412, pp.622–633, 2026. (CCF-C, EI)

  5. H. Tang, Y. Chen, X. Liang, L. Chen, P. Huang,Z. Tang*, Artistic image aesthetics assessment assisted by photographic visual attributes, In:Proceedings of the 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2025), 2025. (CCF-B, EI)

  6. J. Ma, Y. Chen, P. Huang, Z. Tang*, Attention-enhanced feature fusion network for no-reference image quality assessment, In:Proceedings of the 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2025), 2025. (CCF-B, EI)

  7. H. Tang, Y. Chen, H. Zhang, L. Chen, R. Sun, Z. Tang*, Integrating subjective and objective features for image aesthetics assessment, In: Proceedings of the 2024 International Joint Conference on Neural Networks (IJCNN 2024), 2024.(CCF-C, EI)

  8. Y. Chen, X. Liang, M. Yu, Z. Tang*, Unifying pictorial and textual features for screen content image quality evaluation, In: Proceedings of the 14th International Conference on Multimedia Retrieval (ICMR 2024), pp.1099–1103, June 10–14, 2024.(CCF-B, EI)

  9. Y. Chen, Z. Chen, M. Yu, Z. Tang*, Dual-feature aggregation network for no-reference image quality assessment, In: Proceedings of the 29th International Conference on MultiMedia Modeling (MMM2023), Lecture Notes in Computer Science (LNCS) , vol. 13833, pp. 149–161, 2023. (CCF-C, EI)

  10. Z. Chen, Y. Chen, X. Liang, Z. Tang*, Multi-level feature aggregation network for full-reference image quality assessment, In: Proceedings of the IEEE International Conference on Tools with Artificial Intelligence (ICTAI2022), 2022. (CCF-C, EI)


Last update: 20-Jul-2026

Copyright © 2026   Contact Prof. Zhenjun Tang by email: tangzj230@163.com