Baokai Zu

30 papers Journal 27Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Contrastive social recommendation: Harnessing community structures for enhanced personalization.
Expert Syst. Appl.
Yafang Li, Chenda Li, Baokai Zu, Caiyan Jia, Hongyuan Wang
2026 J jnl
Enhanced sample selection in graph contrastive learning with attribute-structure fusion.
Array
Yafang Li, Haoxuan Zhang, Caiyan Jia, Baokai Zu, Hongyuan Wang
2026 J jnl
KG-DBAT: Knowledge-guided dual-branch attention transformer with IoU-aware recalibration for environmental pollen detection.
Appl. Soft Comput.
Baokai Zu, Xu Li, Yafang Li, Jianqiang Li, Hongyuan Wang
2026 J jnl
Mamba-integrated spatio-temporal attention graph convolutional network for session-based recommendation.
Appl. Intell.
Yafang Li, Miao Wang, Baokai Zu, Caiyan Jia, Hongyuan Wang
2026 J jnl
Multilevel Fusion Network Based on Mix Hybrid Attention for Hyperspectral and LiDAR Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Ziping He, Qianglin Zhu, Wei Wang, Baokai Zu, Zhaohong Liu
2026 J jnl
Spectral-spatial multi-view contrastive learning for hyperspectral image classification.
PeerJ Comput. Sci.
Baokai Zu, Zhengrui Yang, Yafang Li
2025 J jnl
Attention-based Graph Clustering Network with Dual Information Interaction.
Knowl. Based Syst.
Xiumin Lin, Yafang Li, Caiyan Jia, Baokai Zu, Wanting Zhu
2025 J jnl
Contrastive learning of adaptive social information fusion for recommender systems.
Neurocomputing
Yafang Li, Chenda Li, Caiyan Jia, Baokai Zu, Hongyuan Wang
2025 J jnl
ECF-DETR: Enhanced Cross-layer Fusion Transformer for Pollen Detection with IoU and Classification Guided Evaluation.
Neurocomputing
Baokai Zu, Xu Li, Yafang Li, Hongyuan Wang, Jianqiang Li
2025 J jnl
GCL-ALG: graph contrastive learning with adaptive learnable view generators.
PeerJ Comput. Sci.
Yafang Li, Jie Kang, Zhihua Chu, Baokai Zu
2025 — conf
GUIDE: Learnable Deep Contrastive Graph Clustering with Centrality Guidance.
ICIC (21)
Yafang Li, Xiaohan Li, Baokai Zu, Caiyan Jia
2025 J jnl
RESwinT: enhanced pollen image classification with parallel window transformer and coordinate attention.
Vis. Comput.
Baokai Zu, Tong Cao, Yafang Li, Jianqiang Li, Hongyuan Wang, Quanzeng Wang
2024 J jnl
Adversarially deep interative-fused embedding clustering via joint self-supervised networks.
Neurocomputing
Yafang Li, Xiumin Lin, Caiyan Jia, Baokai Zu, Shaotao Zhu
2024 — conf
Automated Multi-scale Contrastive Learning with Sample-Awareness for Graph Classification.
APWeb/WAIM (3)
Yafang Li, Jie Kang, Xuyang Li, Caiyan Jia, Baokai Zu
2024 J jnl
SAMGAT: structure-aware multilevel graph attention networks for automatic rumor detection.
PeerJ Comput. Sci.
Yafang Li, Zhihua Chu, Caiyan Jia, Baokai Zu
2024 J jnl
SwinT-SRNet: Swin transformer with image super-resolution reconstruction network for pollen images classification.
Eng. Appl. Artif. Intell.
Baokai Zu, Tong Cao, Yafang Li, Jianqiang Li, Fujiao Ju, Hongyuan Wang
2023 J jnl
An Efficient and Universal Real-Time Data Integrity Verification Scheme Based on Symmetric Key in Stream Computing System.
Symmetry
Hongyuan Wang, Wanting Zhu, Baokai Zu, Yafang Li
2023 J jnl
Cascaded Convolution-Based Transformer With Densely Connected Mechanism for Spectral-Spatial Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Baokai Zu, Yafang Li, Jianqiang Li, Ziping He, Hongyuan Wang, Panpan Wu
2023 — conf
Community-Enhanced Contrastive Siamese Networks for Graph Representation Learning.
KSEM (1)
Yafang Li, Wenbo Wang, Guixiang Ma, Baokai Zu
2023 J jnl
Community-aware graph embedding via multi-level attribute integration.
Knowl. Inf. Syst.
Yafang Li, Wenbo Wang, Jianwen Wei, Baokai Zu
2023 J jnl
Unpaired low-dose CT denoising via an improved cycle-consistent adversarial network with attention ensemble.
Vis. Comput.
Zhixian Yin, Kewen Xia, Sijie Wang, Ziping He, Jiangnan Zhang, Baokai Zu
2022 J jnl
HyperViTGAN: Semisupervised Generative Adversarial Network With Transformer for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Ziping He, Kewen Xia, Pedram Ghamisi, Yuhen Hu, Shurui Fan, Baokai Zu
2022 J jnl
On the Design and Implementation of the External Data Integrity Tracking and Verification System for Stream Computing System in IoT.
Sensors
Hongyuan Wang, Baokai Zu, Wanting Zhu, Yafang Li, Jingbang Wu
2021 J jnl
A Constrained Graph-Based Semi-Supervised Algorithm Combined with Particle Cooperation and Competition for Hyperspectral Image Classification.
Remote. Sens.
Ziping He, Kewen Xia, Tiejun Li, Baokai Zu, Zhixian Yin, Jiangnan Zhang
2021 J jnl
Unpaired Image Denoising via Wasserstein GAN in Low-Dose CT Image with Multi-Perceptual Loss and Fidelity Loss.
Symmetry
Zhixian Yin, Kewen Xia, Ziping He, Jiangnan Zhang, Sijie Wang, Baokai Zu
2019 J jnl
SLIC Superpixel-Based
Sensors
Baokai Zu, Kewen Xia, Tiejun Li, Ziping He, Yafang Li, Jingzhong Hou, Wei Du
2018 J jnl
Classification of Hyperspectral Images with Robust Regularized Block Low-Rank Discriminant Analysis.
Remote. Sens.
Baokai Zu, Kewen Xia, Wei Du, Yafang Li, Ahmad Ali, Sagnik Chakraborty
2017 J jnl
A Novel Graph Constructor for Semisupervised Discriminant Analysis: Combined Low-Rank and k-Nearest Neighbor Graph.
Comput. Intell. Neurosci.
Baokai Zu, Kewen Xia, Yongke Pan, Wenjia Niu
2017 J jnl
Efficient Multiple Kernel Learning Algorithms Using Low-Rank Representation.
Comput. Intell. Neurosci.
Wenjia Niu, Kewen Xia, Baokai Zu, Jianchuan Bai
2016 J jnl
Low-Rank Kernel-Based Semisupervised Discriminant Analysis.
Appl. Comput. Intell. Soft Comput.
Baokai Zu, Kewen Xia, Shuidong Dai, Nelofar Aslam