近年代表论文成果(1作或通讯)
当前位置: 中南大学郭克华的主页 >> 近年代表论文成果(1作或通讯)- [21]K. Guo, T. Chen, S. Ren, N. Li, M. Hu and J. Kang, "Federated Learning Empowered Real-Time Medical Data Processing Method for Smart Healthcare," in IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 21, no. 4, pp. 869-879, July-Aug. 2024.
- [22]K. Guo et al., "Traffic Data-Empowered XGBoost-LSTM Framework for Infectious Disease Prediction," in IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 1, pp. 774-785, Jan. 2024.
- [23]K. Guo et al., "ReE3D: Boosting Novel View Synthesis for Monocular Images using Residual Encoders," in IEEE Transactions on Multimedia, doi: 10.1109/TMM.2023.3347642.
- [24]K. Guo et al., "Video Super-Resolution Based on Inter-Frame Information Utilization for Intelligent Transportation," in IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 11, pp. 13409-13421, Nov. 2023.
- [25]S. Ren, K. Guo(通讯), X. Zhou, B. Hu, F. Zhu and E. Luo, "Medical Image Super-Resolution Based on Semantic Perception Transfer Learning," in IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 20, no. 4, pp. 2598-2609.
- [26]K. Guo, C. Shen, B. Hu, M. Hu and X. Kui, "RSNet: Relation Separation Network for Few-Shot Similar Class Recognition," in IEEE Transactions on Multimedia, vol. 25, pp. 3894-3904, 2023.
- [27]X. Zhu, K. Guo(通讯), H. Fang, L. Chen, S. Ren and B. Hu, "Cross View Capture for Stereo Image Super-Resolution," in IEEE Transactions on Multimedia, vol. 24, pp. 3074-3086, 2022.
- [28]X. Zhu, K. Guo(通讯), S. Ren, B. Hu, M. Hu and H. Fang, "Lightweight Image Super-Resolution With Expectation-Maximization Attention Mechanism," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 3, pp. 1273-1284.
- [29]K. Guo et al., "MDMaaS: Medical-Assisted Diagnosis Model as a Service With Artificial Intelligence and Trust," in IEEE Transactions on Industrial Informatics, vol. 16, no. 3, pp. 2102-2114.
- [30]Kehua Guo, Yayuan Tang, Peiyun Zhang,CSF: Crowdsourcing semantic fusion for heterogeneous media big data in the internet of things,Information Fusion,Volume 37,2017,Pages 77-85.
- [31]Kehua Guo, Tao Xu, Xiaoyan Kui, Ruifang Zhang, Tao Chi,iFusion: Towards efficient intelligence fusion for deep learning from real-time and heterogeneous data,Information Fusion,Volume 51, 2019,Pages 215-223.
- [32]Xiangyuan Zhu, Kehua Guo(通讯), Tian Qiu, Hui Fang, Zheng Wu, Xuyang Tan, Chao Liu,Stereoscopic image super-resolution with interactive memory learning,Expert Systems with Applications,Volume 227,2023,120143.
- [33]Kehua Guo, Xiangyuan Zhu, Gerald Schaefer, Rui Ding, Hui Fang,Self-supervised memory learning for scene text image super-resolution,Expert Systems with Applications,Volume 258,2024,125247.
- [34]Bin Hu, Kehua Guo(通讯), Sheng Ren, Hui Fang,Enhancing robustness of backdoor attacks against backdoor defenses,Expert Systems with Applications,Volume 269,2025,126355.
- [35]Xueying Li, Zihang He, Lingyan Zhang, Shaojun Guo, Bin Hu, Kehua Guo(通讯),CDCNet: Cross-domain few-shot learning with adaptive representation enhancement,Pattern Recognition,Volume 162,2025, 111382.
- [36]Xiangyuan Zhu, Xuchong Liu, Kehua Guo(通讯), Wei Zhao,Enhancing scene text image super-resolution via gradient-based graph attention network,Engineering Applications of Artificial Intelligence,Volume 162, 2025,112360.
- [37]Zheng Wu, Kehua Guo(通讯), Sheng Ren, Bin Hu, Xiangyuan Zhu, Rui Ding,DBL: Dual-Level balanced learning for long-Tailed classification,Pattern Recognition,Volume 172, Part B,2026,112448.
- [38]Zehui Xiao, Xianhong Wen, Xuyang Tan, Xiangyuan Zhu, Kehua Guo(通讯),Degradation-aware graph neural network for blind super-resolution,Pattern Recognition,Volume 174,2026,113007.