发表论文 【2024年】 [1] Liu N, Zhang F, Chang L, et al. Scattering-based hybrid network for facial attribute classification[J]. Frontiers of Computer Science, 2024, 18(3): 183313. (第一作者) [2] Ding, Y., Li, Y., Zheng, H., Mei, M., & Liu, N. A graph-factor-based random forest model for assessing and predicting carbon emission patterns-Pearl River Delta urban agglomeration. Journal of Cleaner Production, 469, 143220, 2024. (通讯作者) 【2023年】 [1] Liu N, Zhang F, Duan F. Age estimation by extracting hierarchical age-related features[J]. Journal of Visual Communication and Image Representation, 2023, 95: 103884. (第一作者) [2] Liu N, Zhang F, Chang L, et al. Facial attribute classification by deep mining inter-attribute correlations[J]. IET Computer Vision, 2023. (第一作者) [3] Zhang F, Liu N, Chang L, et al. Coarse-to-fine Depth Super-Resolution with Adaptive RGB-D Feature Attention [J]. IEEE Transactions on Multimedia, 2023. (第二作者)
【2022年】 [1] Zhang F, Liu N, Hu Y, et al. MFFNet: Single facial depth map refinement using multi-level feature fusion[J]. Signal Processing: Image Communication, 2022, 103: 116649. (第二作者) [2] Zhang F, Liu N, Duan F. Coarse-to-fine Face Depth Super-Resolution with Attentive Feature Selection[C]//2022 26th International Conference on Pattern Recognition (ICPR). IEEE, 2022: 3966-3972. (第二作者)
【2021年及之前】 [1] Zhang F, Liu N, Chang L, et al. Edge-guided single facial depth map super-resolution using CNN[J]. IET Image Processing, 2021, 14(17): 4708-4716. (第二作者) [2] Liu N, Zhang F, Duan F. Facial age estimation using a multi-task network combining classification and regression[J]. IEEE Access, 2020, 8: 92441-92451. (第一作者) [3] Liu N, Chang L, Duan F. PGR-Net: A parallel network based on group and regression for age estimation[C] // ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2019: 2377-2381. (第一作者)
|