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)- [21]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)
- [22]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)
- [23]Zheng Wu, Feihong Zhu, Kehua Guo(通讯), Ren Sheng, Liu Chao, Hui Fang. Modal Adaptive Super-Resolution for Medical Images via Continual Learning. Signal Processing, Accepted, 2023.
- [24]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)
- [25]Zheng Wu, Kehua Guo(通讯), Entao Luo, Tian Wang, Shoujin Wang, Yi Yang, Xiangyuan Zhu, Rui Ding. Medical long-tailed learning for imbalanced data: Bibliometric analysis. Computer Methods and Programs in Biomedicine, 2024, accepted and online.
- [26]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)
- [27]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)
- [28]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)
- [29]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)
- [30]Xiangyuan Zhu, Kehua Guo(通讯), Tian Qiu, et al. Stereoscopic Image Super-Resolution with Interactive Memory Learning. Expert Systems With Applications, 2023.(Q1,IF=8.665)
- [31]Kehua Guo, Jie Chen, Tian Qiu, Shaojun Guo, Tao Luo, Tianyu Chen, Sheng Ren. MedGAN: An adaptive GAN approach for medical image generation. Computers in Biology and Medicine, 2023.
- [32]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
- [33]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)
- [34]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)
- [35]Jiancun Zhou, Zheng Wu, Zixi Jiang, Kai Huang, Kehua Guo(通讯), Shuang Zhao. Background selection schema on deep learning-based classification of dermatological disease. Computers In Biology and Medicine 149: 105966 (2022).
- [36]Kehua Guo, Yifei Wang, Jian Kang, Jian Zhang, Rui Cao. Core dataset extraction from unlabeled medical big data for lesion localization. Big Data Research, 24: 100185 (2021)
- [37]Xiangyuan Zhu, Kehua Guo, Tian Qiu, Hui Fang, Zheng Wu, Xuyang Tan, Chao Liu. Stereoscopic image super-resolution with interactive memory learning. Expert Systems with Applications, 2023.
- [38]Yayuan Tang, Hao Wang, Kehua Guo(通讯), Tao Luo, Tao Chi. A new replica placement mechanism for mobile media streaming in edge computing. Concurrency and Computation-Practice & Experience, 33(7): 1 (2021)
- [39]Kehua Guo, Tao Luo, Md. Zakirul Alam Bhuiyan, Sheng Ren, Jian Zhang, Di Zhou. Zero shot augmentation learning in internet of biometric things for health signal processing. Pattern Recognition Letters, 146: 142-149 (2021)
- [40]Kehua Guo, Nan Li, Jian Kang, Jian Zhang. Towards efficient federated learning-based scheme in medical cyber-physical systems for distributed data.Software-Practice & Experience, 51(11): 2274-2289 (2021)