代表性论文成果(1作或通讯)
当前位置: 中南大学郭克华的主页 >> 代表性论文成果(1作或通讯)- [1]Kehua Guo, Zhuo Zhang, Haifu Guo, Sheng Ren, Lei Wang, Xiaokang Zhou, Chao Liu. Video Super-Resolution Based on Inter-Frame Information Utilization for Intelligent Transportation. IEEE Transactions on Intelligent Transportation Systems, 2022, accepte and online. (Q1)
- [2]Xiangyuan Zhu, Kehua Guo (通讯), Hui Fang, Rui Ding, Zheng Wu, Gerald Schaefer. Gradient-Based Graph Attention for Scene Text Image Super-Resolution. AAAI 2023, online. (CCF A)
- [3]Sheng Ren, Kehua Guo(通讯), Xiaokang Zhou, Bin Hu, Feihong Zhu, Entao Luo. Medical Image Super-Resolution Based on Semantic Perception Transfer Learning .IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022, online, DOI 10.1109/TCBB.2022.3212343. (Q1)
- [4]Rui Ding, Kehua Guo(通讯), Xiangyuan Zhu, Zheng Wu, Liwei Wang.ComGAN: Unsupervised disentanglement and segmentation via image composition. NeurIPS 2022, online.(CCF A)
- [5]Kehua Guo, Changchun Shen, Bin Hu, Min Hu, Xiaoyan Kui. RSNet: Relation separation network for few-shot similar class recognition. IEEE Transactions on Multimedia, 2022, online, doi: 10.1109/TMM.2022.3168146.(Q1)
- [6]Kehua Guo, Changchun Shen, Xiaokang Zhou, Sheng Ren, Min Hu, Minxue Shen, Xiang Chen, Haifu Guo. Traffic data-empowered XGBoost-LSTM framework for infectious disease prediction. IEEE Transactions on Intelligent Transportation Systems, 2022, online, doi: 10.1109/TITS.2022.3172206.(Q1)
- [7]Kehua Guo, Tianyu Chen, Sheng Ren, Nan Li, Min Hu, Jian Kang. Federated learning empowered real-time medical data processing method for smart healthcare.IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022, online doi: 10.1109/TCBB.2022.3185395.(Q1)
- [8]Kehua Guo, Feihong Zhu, Xiaokang Zhou, Lingyan Zhang, Yifei Wang, Jian Kang. LesionTalk: Core data extraction and multi-class lesion detection in IoT based intelligent healthcare. ACM Transactions on Sensor Networks, 2022, online,https://doi.org/10.1145/3526194.(Q2)
- [9]Xiangyuan Zhu, Kehua Guo(通讯), Hui Fang, Liang Chen, Sheng Ren, Bin Hu. Cross view capture for stereo image super-resolution. IEEE Transactions on Multimedia, 2022, 24(5): 3074-3086.(Q1, 高被引)
- [10]Kehua Guo, Min Hu, Sheng Ren, Fangfang Li, Jian Zhang, Haifu Guo, Xiaoyan Kui. Deep illumination-enhanced face super-resolution network for low-light images. ACM Transactions on Multimedia Computing, Communications and Applications, 2022, 18, Article 87: 1-19.(Q1)
- [11]Xiangyuan Zhu, Kehua Guo(通讯), Sheng Ren, Bin Hu, Min Hu, Hui Fang. Lightweight image super-resolution with expectation-maximization attention mechanism. IEEE Transactions on Circuits and Systems for Video Technology, 2021, 32: 1273-1284.(Q1, 高被引)
- [12]Kehua Guo, Sheng Ren, Zakirul Bhuiyan, Ting Li, Dengchao Liu, Xiang Chen. MDMaaS: medical-assisted diagnosis model as a service with artificial intelligence and trust. IEEE Transactions on Industrial Informatics, 2019, 16: 2102-2114.(Q1)
- [13]Bin Hu, Kehua Guo(通讯), Xiaokang Wang, Jian Zhang, Di Zhou. RRL-GAT: Graph attention network-driven multilabel image robust representation learning. IEEE Internet of Things Journal, 9(12):9167-9178.(IF=10.238, Q1, 高被引)
- [14]Zheng Wu, Changchun Shen, Kehua Guo (通讯), Entao Luo, Liwei Wang. NC2E: Boosting Few-shot Learning with Novel Class Center Estimation. Neural Computing and Applications, online. (Q1)
- [15]Kehua Guo, Bin Hu, Jianhua Ma, Sheng Ren, Ze Tao, Jian Zhang. Toward anomaly behavior detection as an edge network service using a dual-task interactive guided neural network. IEEE Internet of Things Journal, 2020, 16, 12623 - 12637.(IF=10.238, Q1)
- [16]Bin Hu, Kehua Guo(通讯), Jian Zhang, Sheng Ren, Jianhua Ma. Exploring a humanoid video-understanding algorithm guided by behavior. IEEE Computer, 2020,53(8): 59-67.(Q2)
- [17]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, 2019, 51: 215-223.(IF=17.564, Q1)
- [18]Sheng Ren, Yan He, Xiaokang Wang, Kehua Guo(通讯), Silvio Barra, Jianqi Li .？CIOD: an intelligent class-incremental object detection system with nearest mean of exemplars.？J Ambient Intell Human Comput (2022, Q1). https://doi.org/10.1007/s12652-022-04341-7
- [19]Kehua Guo, Zhonghe Liang, Ronghua Shi, Chao Hu, Zuoyong Li. Transparent learning: an incremental machine learning framework based on transparent computing. IEEE Network, 2018, 32: 146-151.(IF=10.294, Q1)
- [20]Kehua Guo, Yayuan Tang, Ping Zhang. CSF: Crowdsourcing semantic fusion for heterogeneous media big data in the internet of things. Information Fusion, 2017, 37: 77-85.(IF=17.564, Q1)