宋永红  (研究员)

1. Jiawei Zheng，Yonghong Song，Learning the Beneficial, Forgetting the Harmful: High Generalization Reinforcement Learning with in Evolving Representations, Journal:  Neurocomputing, Volume 619, 28 February 2025, 129139, ISSN: 0925-2312，https://doi.org/10.1016/j.neucom.2024.129139
2. P. Guo, Y. Song, B. Wang, J. Liu and Q. Zhang, "PLBR: A Semi-Supervised Document Key Information Extraction via Pseudo-Labeling Bias Rectification," in IEEE Transactions on Knowledge and Data Engineering, vol. 36, no. 12, pp. 9025-9036, Dec. 2024, doi: 10.1109/TKDE.2024.3443928. 
3. Chenning Kang,Yonghong Song,Pengcheng Guo, LHE-PSN A Photometric Stereo Network with Lightweight High-frequency Enhancement Module, 2024 7th Artificial Intelligence and Cloud Computing Conference be held at  Tokyo, Japan, 14 Dec - 16 Dec 2024.
4. Jiawen Chen,Yonghong Song, Area Mapping via Pseudo Label Discovery for Weakly Supervised Object Detection, the 2024 International Conference on Progress in Informatics and Computing (PIC-2024), be held at  Shanghai,China, 20 Dec - 22 Dec 2024.
5. Qi Zhang, Yonghong Song, Pengcheng Guo, Yangyang Hui,CRMSP: A semi-supervised approach for key information extraction with Class-Rebalancing and Merged Semantic Pseudo-Labeling,Neurocomputing,Volume 616,2025,128907,ISSN 0925-2312, https://doi.org/10.1016/j.neucom.2024.128907.
6. Meng, X., Song, Y., & Li, G. (2024). Nested transformer decoder using dense skip-connections for change detection in high-resolution remote sensing image. International Journal of Remote Sensing, 45(22), 8061–8083. https://doi.org/10.1080/01431161.2024.2398225 
7. Z. Meng, Y. Song, Y. Zhang, Y. Nan and Z. Bai, "Traffic Object Detection for Autonomous Driving Fusing LiDAR and Pseudo 4D-Radar Under Bird’s-Eye-View," in IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 11, pp. 18185-18195, Nov. 2024, doi: 10.1109/TITS.2024.3417826.
8. Li, S., Song, Y., Wu, X., Su, Y., & Zhang, Y. (2024). MFMENet: multi-scale features mutual enhancement network for change detection in remote sensing images. International Journal of Remote Sensing, 45(10), 3248–3273. https://doi.org/10.1080/01431161.2024.2343139 
9. Liu T, Huang S, Li R, Gao P, Li W, Lu H, Song Y, Rong J. Dual and Multi-Target Cone-Beam X-ray Luminescence Computed Tomography Based on the DeepCB-XLCT Network. Bioengineering (Basel). 2024 Aug 28;11(9):874. doi: 10.3390/bioengineering11090874. PMID: 39329616; PMCID: PMC11428951.
10. Li Z , Liu Y , Song Y .Image Caption Method from Coarse to Fine Based On Dual Encoder-Decoder Framework[C]//2024 International Joint Conference on Neural Networks (IJCNN).0[2024-10-20].DOI:10.1109/IJCNN60899.2024.10650584.
11. Hanxiao Li, Yonghong Song, Tong Geng, Semi-Supervised Crowd Counting Based on Hard Pseudo-Labels, the IEEE World Congress on Computational Intelligence (IEEE WCCI 2024) to be held at  Pacifico Yokohama, Yokohama, Japan, 30 June - 5 July 2024.
12. Ke Jia, Yonghong Song, Video Anomaly Detection Via Self-supervised Learning With Frame Interval and Rotation Prediction, IEEE Conference on Multimedia Expo 2024, July 15-19 ,2024, in Niagara Falls
13. DaiLiang Zhou, YongHong Song,PNSP: Overcoming catastrophic forgetting using Primary Null Space Projection in continual learning,Pattern Recognition Letters,Volume 179,2024,Pages 137-143,ISSN 0167-8655,https://doi.org/10.1016/j.patrec.2024.02.009. 
14. Jiawei Zheng, Yonghong Song*，Effective Representation Learning is More Effective in Reinforcement Learning than You Think，2024 IEEE International Conference on Robotics and Automation (ICRA)
15. Z. Chen, Y. Song, Y. Ma, G. Li, R. Wang and H. Hu, "Interaction in Transformer for Change Detection in VHR Remote Sensing Images," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-12, 2023, Art no. 3000612, doi: 10.1109/TGRS.2023.3324025.

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