代表性研究成果
论文：
[1]Zu, Baokai, et al. "SwinT-SRNet: Swin transformer with image super-resolution reconstruction network for pollen images classification." Engineering Applications of Artificial Intelligence 133 (2024): 108041.
[2]Zu, Baokai, et al. "Cascaded Convolution-based Transformer with Densely Connected Mechanism for Spectral–Spatial Hyperspectral Image Classification." IEEE Transactions on Geoscience and Remote Sensing (2023).
[3]Zu, Baokai, et al. "Weighted residual self-attention graph-based transformer for spectral–spatial hyperspectral image classification." International Journal of Remote Sensing 44.3 (2023): 852-877.
[4]Li, Yafang, Wenbo Wang, Jianwen Wei, andBaokai Zu*. "Community-aware graph embedding via multi-level attribute integration." Knowledge and Information Systems 65, no. 12 (2023): 5635-5655.
[5]Yafang Li, Yuanda Liu, Jianwen Wei,Baokai Zu*, Hongyuan Wang. General Community Detection in Attributed Networks with Consistent-Module Constrained Nonnegative Matrix Factorization[J]. Wireless Communications and Mobile Computing, 2022.
[6]Yafang Li, Wenbo Wang, Guixiang Ma andBaokai Zu*. A lightweight model for textual sentiment analysis. The 16th International Conference on Knowledge Science, Engineering and Management. KSEM 2023. (CCF C类会议)
[7]Wang, Hongyuan,Baokai Zu*, Wanting Zhu, Yafang Li, and **gbang Wu. "On the Design and Implementation of the External Data Integrity Tracking and Verification System for Stream Computing System in IoT." Sensors 22, no. 17 (2022): 6496.
[8]Ziping He, Kewen Xia, Pedram Ghamisi, Yuhen Hu, Shurui Fan, andBaokai Zu. "Hypervitgan: Semisupervised generative adversarial network with transformer for hyperspectral image classification." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15 (2022): 6053-6068.
[9]Ziping, He, Kewen Xia, Tiejun Li,Baokai Zu, Zhixian Yin, and Jiangnan Zhang. "A constrained graph-based semi-supervised algorithm combined with particle cooperation and competition for hyperspectral image classification." Remote Sensing 13, no. 2 (2021): 193.
[10]Q Wang, J Li, F Ju, J Li,B Zu, C Ye. Automatic Pollen Detection Based on Feature Fusion and Self-attention Mechanism[C]//Frontier Computing: Proceedings of FC 2020. Springer Singapore, 2021: 93-101.
专利：
[1]祖宝开,曹通,句福娇,李亚芳,王宏远.花粉颗粒识别方法、装置、电子设备及存储介质,202311186350.7
[2]祖宝开,曹通,王宏远,李亚芳,句福娇.高光谱图像特征表示方法、装置、电子设备及存储介质, 202311177533.2
[3]祖宝开,李建强,李亚芳,王宏远.高光谱图像分类方法、装置、电子设备及存储介质, 202210393879.5
[4]祖宝开,李建强,王宏远,李亚芳,白建川.图像分类方法及装置, 202210681224 .8
[5]王宏远,祖宝开,李亚芳,朱婉婷.基于区块链的联邦学习信息隐私保护方法及装置, 202311081717 .9
[6]李建强,谢海华,句福娇,祖宝开,裴岩.基于自适应特征金字塔的花粉检测方法, CN202010232752.6
[7]王宏远,朱婉婷,李亚芳,祖宝开.流式系统的数据完整性验证方法、电子设备及存储介质, 202210512075 .2
[8]李亚芳,王文博,王宏远,祖宝开.基于图聚类优化的孪生网络对比表示学习方法及装置, 202210583382.X
