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2020 – today
- 2026
[j25]Yafang Li, Miao Wang, Baokai Zu
, Caiyan Jia, Hongyuan Wang:
Mamba-integrated spatio-temporal attention graph convolutional network for session-based recommendation. Appl. Intell. 56(3): 84 (2026)- [j24]Baokai Zu, Xu Li, Yafang Li, Jianqiang Li, Hongyuan Wang:
KG-DBAT: Knowledge-guided dual-branch attention transformer with IoU-aware recalibration for environmental pollen detection. Appl. Soft Comput. 192: 114774 (2026) - [j23]Yafang Li, Chenda Li, Baokai Zu, Caiyan Jia, Hongyuan Wang:
Contrastive social recommendation: Harnessing community structures for enhanced personalization. Expert Syst. Appl. 311: 131398 (2026) - [j22]Ziping He, Qianglin Zhu, Wei Wang, Baokai Zu, Zhaohong Liu:
Multilevel Fusion Network Based on Mix Hybrid Attention for Hyperspectral and LiDAR Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 19: 470-483 (2026) - 2025
- [j21]Yafang Li, Chenda Li, Caiyan Jia, Baokai Zu, Hongyuan Wang:
Contrastive learning of adaptive social information fusion for recommender systems. Neurocomputing 648: 130654 (2025) - [j20]Baokai Zu, Xu Li, Yafang Li, Hongyuan Wang, Jianqiang Li:
ECF-DETR: Enhanced Cross-layer Fusion Transformer for Pollen Detection with IoU and Classification Guided Evaluation. Neurocomputing 650: 130892 (2025) - [j19]Xiumin Lin, Yafang Li, Caiyan Jia, Baokai Zu, Wanting Zhu:
Attention-based Graph Clustering Network with Dual Information Interaction. Knowl. Based Syst. 310: 112928 (2025) - [j18]Yafang Li, Jie Kang, Zhihua Chu, Baokai Zu:
GCL-ALG: graph contrastive learning with adaptive learnable view generators. PeerJ Comput. Sci. 11: e3101 (2025) - [j17]Baokai Zu, Tong Cao, Yafang Li, Jianqiang Li, Hongyuan Wang, Quanzeng Wang:
RESwinT: enhanced pollen image classification with parallel window transformer and coordinate attention. Vis. Comput. 41(7): 4975-4990 (2025) - [c3]Yafang Li, Xiaohan Li, Baokai Zu, Caiyan Jia:
GUIDE: Learnable Deep Contrastive Graph Clustering with Centrality Guidance. ICIC (21) 2025: 461-473 - 2024
- [j16]Baokai Zu, Tong Cao, Yafang Li, Jianqiang Li, Fujiao Ju, Hongyuan Wang:
SwinT-SRNet: Swin transformer with image super-resolution reconstruction network for pollen images classification. Eng. Appl. Artif. Intell. 133: 108041 (2024) - [j15]Yafang Li, Xiumin Lin, Caiyan Jia, Baokai Zu, Shaotao Zhu:
Adversarially deep interative-fused embedding clustering via joint self-supervised networks. Neurocomputing 601: 128205 (2024) - [j14]Yafang Li, Zhihua Chu, Caiyan Jia, Baokai Zu:
SAMGAT: structure-aware multilevel graph attention networks for automatic rumor detection. PeerJ Comput. Sci. 10: e2200 (2024) - [c2]Yafang Li, Jie Kang, Xuyang Li, Caiyan Jia, Baokai Zu:
Automated Multi-scale Contrastive Learning with Sample-Awareness for Graph Classification. APWeb/WAIM (3) 2024: 145-160 - 2023
- [j13]Yafang Li, Wenbo Wang, Jianwen Wei, Baokai Zu:
Community-aware graph embedding via multi-level attribute integration. Knowl. Inf. Syst. 65(12): 5635-5655 (2023) - [j12]Hongyuan Wang, Wanting Zhu, Baokai Zu, Yafang Li:
An Efficient and Universal Real-Time Data Integrity Verification Scheme Based on Symmetric Key in Stream Computing System. Symmetry 15(8): 1541 (2023) - [j11]Baokai Zu, Yafang Li, Jianqiang Li, Ziping He, Hongyuan Wang, Panpan Wu:
Cascaded Convolution-Based Transformer With Densely Connected Mechanism for Spectral-Spatial Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-19 (2023) - [j10]Zhixian Yin, Kewen Xia, Sijie Wang, Ziping He, Jiangnan Zhang, Baokai Zu:
Unpaired low-dose CT denoising via an improved cycle-consistent adversarial network with attention ensemble. Vis. Comput. 39(10): 4423-4444 (2023) - [c1]Yafang Li, Wenbo Wang, Guixiang Ma, Baokai Zu:
Community-Enhanced Contrastive Siamese Networks for Graph Representation Learning. KSEM (1) 2023: 300-314 - 2022
- [j9]Hongyuan Wang, Baokai Zu, Wanting Zhu, Yafang Li, Jingbang Wu:
On the Design and Implementation of the External Data Integrity Tracking and Verification System for Stream Computing System in IoT. Sensors 22(17): 6496 (2022) - [j8]Ziping He, Kewen Xia, Pedram Ghamisi, Yuhen Hu, Shurui Fan, Baokai Zu:
HyperViTGAN: Semisupervised Generative Adversarial Network With Transformer for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 6053-6068 (2022) - 2021
- [j7]Ziping He, Kewen Xia, Tiejun Li, Baokai Zu, Zhixian Yin, Jiangnan Zhang:
A Constrained Graph-Based Semi-Supervised Algorithm Combined with Particle Cooperation and Competition for Hyperspectral Image Classification. Remote. Sens. 13(2): 193 (2021) - [j6]Zhixian Yin, Kewen Xia, Ziping He, Jiangnan Zhang, Sijie Wang, Baokai Zu:
Unpaired Image Denoising via Wasserstein GAN in Low-Dose CT Image with Multi-Perceptual Loss and Fidelity Loss. Symmetry 13(1): 126 (2021)
2010 – 2019
- 2019
- [j5]Baokai Zu, Kewen Xia, Tiejun Li, Ziping He, Yafang Li, Jingzhong Hou, Wei Du:
SLIC Superpixel-Based l2, 1-Norm Robust Principal Component Analysis for Hyperspectral Image Classification. Sensors 19(3): 479 (2019) - 2018
- [j4]Baokai Zu, Kewen Xia, Wei Du, Yafang Li, Ahmad Ali, Sagnik Chakraborty:
Classification of Hyperspectral Images with Robust Regularized Block Low-Rank Discriminant Analysis. Remote. Sens. 10(6): 817 (2018) - 2017
- [j3]Wenjia Niu, Kewen Xia, Baokai Zu, Jianchuan Bai:
Efficient Multiple Kernel Learning Algorithms Using Low-Rank Representation. Comput. Intell. Neurosci. 2017: 3678487:1-3678487:9 (2017) - [j2]Baokai Zu, Kewen Xia, Yongke Pan, Wenjia Niu:
A Novel Graph Constructor for Semisupervised Discriminant Analysis: Combined Low-Rank and k-Nearest Neighbor Graph. Comput. Intell. Neurosci. 2017: 9290230:1-9290230:11 (2017) - 2016
- [j1]Baokai Zu, Kewen Xia, Shuidong Dai, Nelofar Aslam:
Low-Rank Kernel-Based Semisupervised Discriminant Analysis. Appl. Comput. Intell. Soft Comput. 2016: 2783568:1-2783568:9 (2016)
Coauthor Index
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last updated on 2026-03-06 21:38 CET by the dblp team
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