1. S. Jiang, T. Ren, H. Yuan, J. Huo, X. Lu, “OMR-Net+: A frequency-aware feature refinement and entropy modeling method for efficient screen content image compression “, IEEE Signal Processing Letters, vol. 32, pp. 3290-3294, Aug. 2025. DOI: 10.1109/LSP.2025.3596872.
    2. Z. Li, C. Tian, H. Yuan, X. Lu, H. Malekmohamadi, “3D-MSFC: A 3D multi-scale features compression method for object detection“, Displays, 2024. DOI: 10.1016/j.displa.2024.102880
    3. C. Sun, H. Yuan, X. Mao, X. Lu, R. Hamzaoui, “Enhancing octree-based context models for point cloud geometry compression with attention-based child node number prediction“, IEEE Signal Processing Letters, 2024. DOI: 10.1109/LSP.2024.3426918
    4. H. Yuan, R. Hamzaoui, F. Neri, S. Yang, X. Lu, L. Zhu, Y. Zhang, “Optimized quantization parameter selection for video-based point cloud compression“, Frontiers in Signal Processing, 2024. DOI: 10.3389/frsip.2024.1385287
    5. C. Sun, H. Yuan, S. Li, X. Lu, R. Hamzaoui, “Enhancing context models for point cloud geometry compression with context feature residuals and multi-loss“, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 14, no. 2, pp. 224-234, Jun. 2024, DOI: 10.1109/JETCAS.2024.3367729
    6. X. Mao, H. Yuan, X. Lu, R. Hamzaoui, W. Gao, “PCAC-GAN: a sparse-tensor-based generative adversarial network for 3D point cloud attribute compression“, Computational Visual Media, vol. 11, no. 5, pp. 939-951, Oct. 2025. DOI: 10.26599/CVM.2025.9450409.