Bo Zhang

Orcid: 0000-0002-1210-8735

Affiliations:

Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China (PhD 2016)

According to our database¹, Bo Zhang authored at least 30 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

A class-aware multi-stage UDA framework for prostate zonal segmentation.

[BibT_eX]

[DOI]

Multim. Tools Appl., September, 2024

A Coverage-Aware Task Allocation Method for UAV-Assisted Mobile Crowd Sensing.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., July, 2024

Segmentation assisted Prostate Cancer Grading with Multitask Collaborative Learning.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2024

ADDG: An Adaptive Domain Generalization Framework for Cross-Plane MRI Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Norma: A Noise Robust Memory-Augmented Framework for Whole Slide Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

A UAV-Assisted Multi-Task Allocation Method for Mobile Crowd Sensing.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., July, 2023

Deep learning based data prefetching in CPU-GPU unified virtual memory.

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., April, 2023

An Intelligent Framework for Oversubscription Management in CPU-GPU Unified Memory.

[BibT_eX]

[DOI]

J. Grid Comput., March, 2023

Factorized Omnidirectional Representation based Vision GNN for Anisotropic 3D Multimodal MR Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

CoCa: A Connectivity-Aware Cascade Framework for Histology Gland Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

A 3D Framework for Brain Tumor Segmentation from Multi-modal MR Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

A Pose and Shape-Aware Cross-Skeleton Motion Retargeting Framework.

[BibT_eX]

[DOI]

Chengyu Liu

Bo Zhang

Wendong Wang

Proceedings of the IEEE International Conference on Big Data, 2023

2022

A Scalable Graph-Based Framework for Multi-Organ Histology Image Classification.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

LSRML: A latent space regularization based meta-learning framework for MR image segmentation.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

An Efficient Multi-View Multimodal Data Processing Framework for Social Media Popularity Prediction.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

MPTGAN: A Multimodal Prior-Based Triple-Branch Network for Fast Prostate Mri Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

A Feature Regularization Based Meta-Learning Framework for Generalizing Prostate Mri Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

ACL-Net: Adaptive and Collaborative Learning Network for Multi-Site Prostate MRI Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

2021

HAT-Net: A Hierarchical Transformer Graph Neural Network for Grading of Colorectal Cancer Histology Images.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

MFSL-Net: A Modality Fusion and Shape Learning based Cascaded Network for Prostate Tumor Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

DRA U-Net: An Attention based U-Net Framework for 2D Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2019

Mutual Information Maximization-Based Collaborative Data Collection With Calibration Constraint.

[BibT_eX]

[DOI]

IEEE Access, 2019

Environmental Monitoring Based on Fog Computing Paradigm and Internet of Things.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

Learning-Based Energy-Efficient Data Collection by Unmanned Vehicles in Smart Cities.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2018

2017

Energy-Aware Participant Selection for Smartphone-Enabled Mobile Crowd Sensing.

[BibT_eX]

[DOI]

IEEE Syst. J., 2017

2016

Privacy-preserving QoI-aware participant coordination for mobile crowdsourcing.

[BibT_eX]

[DOI]

Comput. Networks, 2016

Robots-Aided Participatory Crowdsourcing with Limited Task Budget.

[BibT_eX]

[DOI]

Proceedings of the IEEE 84th Vehicular Technology Conference, 2016

2015

An Event-Driven QoI-Aware Participatory Sensing Framework with Energy and Budget Constraints.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2015

Crowdsourcing energy-efficient participants to ensure quality-of-information.

[BibT_eX]

[DOI]

Proceedings of the 26th IEEE Annual International Symposium on Personal, 2015

2014

QoI-aware energy-efficient participant selection.

[BibT_eX]

[DOI]

Zheng Song

Bo Zhang

Chi Harold Liu

Athanasios V. Vasilakos

Jian Ma

Wendong Wang

Proceedings of the Eleventh Annual IEEE International Conference on Sensing, 2014

Bo Zhang

Timeline

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