Baokai Zu

According to our database, Baokai Zu authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SAMGAT: structure-aware multilevel graph attention networks for automatic rumor detection.

Yafang Li, Zhihua Chu, Caiyan Jia, Baokai Zu

PeerJ Comput. Sci., 2024

Adversarially deep interative-fused embedding clustering via joint self-supervised networks.

Yafang Li, Xiumin Lin, Caiyan Jia, Baokai Zu, Shaotao Zhu

Neurocomputing, 2024

SwinT-SRNet: Swin transformer with image super-resolution reconstruction network for pollen images classification.

Baokai Zu, Tong Cao, Yafang Li, Jianqiang Li, Fujiao Ju, Hongyuan Wang

Eng. Appl. Artif. Intell., 2024

Automated Multi-scale Contrastive Learning with Sample-Awareness for Graph Classification.

Yafang Li, Jie Kang, Xuyang Li, Caiyan Jia, Baokai Zu

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023

Community-aware graph embedding via multi-level attribute integration.

Yafang Li, Wenbo Wang, Jianwen Wei, Baokai Zu

Knowl. Inf. Syst., December, 2023

Unpaired low-dose CT denoising via an improved cycle-consistent adversarial network with attention ensemble.

Zhixian Yin, Kewen Xia, Sijie Wang, Ziping He, Jiangnan Zhang, Baokai Zu

Vis. Comput., October, 2023

An Efficient and Universal Real-Time Data Integrity Verification Scheme Based on Symmetric Key in Stream Computing System.

Hongyuan Wang, Wanting Zhu, Baokai Zu, Yafang Li

Symmetry, August, 2023

Cascaded Convolution-Based Transformer With Densely Connected Mechanism for Spectral-Spatial Hyperspectral Image Classification.

Baokai Zu, Yafang Li, Jianqiang Li, Ziping He, Hongyuan Wang, Panpan Wu

IEEE Trans. Geosci. Remote. Sens., 2023

Community-Enhanced Contrastive Siamese Networks for Graph Representation Learning.

Yafang Li, Wenbo Wang, Guixiang Ma, Baokai Zu

Proceedings of the Knowledge Science, Engineering and Management, 2023

2022

HyperViTGAN: Semisupervised Generative Adversarial Network With Transformer for Hyperspectral Image Classification.

Ziping He, Kewen Xia, Pedram Ghamisi, Yuhen Hu, Shurui Fan, Baokai Zu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

On the Design and Implementation of the External Data Integrity Tracking and Verification System for Stream Computing System in IoT.

Hongyuan Wang, Baokai Zu, Wanting Zhu, Yafang Li, Jingbang Wu

Sensors, 2022

2021

Unpaired Image Denoising via Wasserstein GAN in Low-Dose CT Image with Multi-Perceptual Loss and Fidelity Loss.

Zhixian Yin, Kewen Xia, Ziping He, Jiangnan Zhang, Sijie Wang, Baokai Zu

Symmetry, 2021

A Constrained Graph-Based Semi-Supervised Algorithm Combined with Particle Cooperation and Competition for Hyperspectral Image Classification.

Ziping He, Kewen Xia, Tiejun Li, Baokai Zu, Zhixian Yin, Jiangnan Zhang

Remote. Sens., 2021

2019

SLIC Superpixel-Based <i>l</i>_{2, 1}-Norm Robust Principal Component Analysis for Hyperspectral Image Classification.

Baokai Zu, Kewen Xia, Tiejun Li, Ziping He, Yafang Li, Jingzhong Hou, Wei Du

Sensors, 2019

2018

Classification of Hyperspectral Images with Robust Regularized Block Low-Rank Discriminant Analysis.

Baokai Zu, Kewen Xia, Wei Du, Yafang Li, Ahmad Ali, Sagnik Chakraborty

Remote. Sens., 2018

2017

A Novel Graph Constructor for Semisupervised Discriminant Analysis: Combined Low-Rank and k-Nearest Neighbor Graph.

Baokai Zu, Kewen Xia, Yongke Pan, Wenjia Niu

Comput. Intell. Neurosci., 2017

Efficient Multiple Kernel Learning Algorithms Using Low-Rank Representation.

Wenjia Niu, Kewen Xia, Baokai Zu, Jianchuan Bai

Comput. Intell. Neurosci., 2017

2016

Low-Rank Kernel-Based Semisupervised Discriminant Analysis.

Baokai Zu, Kewen Xia, Shuidong Dai, Nelofar Aslam

Appl. Comput. Intell. Soft Comput., 2016