Journals

[1] Li K., Yuan F. N., Wang C. M., “An effective multi-scale interactive fusion network with hybrid Transformer and CNN for smoke image segmentation,” Pattern Recognition, 2025.

[2]Li K., Yuan F. N., Wang C. M., “Frequency-space interactive with hierarchical aggregation network for lightweight smoke image segmentation,” IEEE Transactions on Consumer Electronics, 2025.

[3] Yuan F. N., Li K., Wang C. M., Fang Z. J., “A lightweight network for smoke semantic segmentation,” Pattern Recognition, 2023.

[4] Yuan F. N., Li K., Wang C. M., Shi J. T., Zhu Y. W., “Fully extracting feature correlation between and within stages for semantic segmentation,” Digital Signal Processing, 2022.

Symposium Proceedings

[5] Li K., Wang C. M., Meng C. L., Yuan F. N., “LightNet+: Boosted light-weighted network for smoke semantic segmentation,”The 20th International Forum of Digital Multimedia Communication (20th IFTC), Springer, 2023, (Poster).

专利：

[1] 一种基于深度学习的轻量级烟雾分割方法及系统（发明专利）

授权号: CN113936241B

发明人：汪春梅，李康，袁非牛

[2] 一种基于深度卷积神经网络的语义分割方法及系统（发明专利）

授权号: CN113902925B

发明人：汪春梅，李康，袁非牛