Bin Yu

Orcid: 0000-0003-3794-1069

Affiliations:
  • Xidian University, School of Computer Science and Technology, Xi'an, Shaanxi, China
  • Northwest University, Department of computer software and theory, Xi'an, China (PhD 2003)


According to our database1, Bin Yu authored at least 32 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
FedKT: Federated learning with knowledge transfer for non-IID data.
Pattern Recognit., 2025

2024
Prototype Similarity Distillation for Communication-Efficient Federated Unsupervised Representation Learning.
IEEE Trans. Knowl. Data Eng., November, 2024

2023
Federated Active Semi-Supervised Learning With Communication Efficiency.
IEEE Trans. Syst. Man Cybern. Syst., November, 2023

Random Deep Graph Matching.
IEEE Trans. Knowl. Data Eng., October, 2023

FGSS: Federated global self-supervised framework for large-scale unlabeled data.
Appl. Soft Comput., August, 2023

2022
A survey on federated learning in data mining.
WIREs Data Mining Knowl. Discov., 2022

Federated Multitask Learning for HyperFace.
IEEE Trans. Artif. Intell., 2022

Hierarchical Graph Representation Learning with Structural Attention for Graph Classification.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021
A survey on heterogeneous network representation learning.
Pattern Recognit., 2021

A survey on federated learning.
Knowl. Based Syst., 2021

Dynamic network embedding via structural attention.
Expert Syst. Appl., 2021

Influence-aware graph neural networks.
Appl. Soft Comput., 2021

2020
Rich heterogeneous information preserving network representation learning.
Pattern Recognit., 2020

Proximity-aware heterogeneous information network embedding.
Knowl. Based Syst., 2020

Node proximity preserved dynamic network embedding via matrix perturbation.
Knowl. Based Syst., 2020

Secure collaborative few-shot learning.
Knowl. Based Syst., 2020

Deep heterogeneous network embedding based on Siamese Neural Networks.
Neurocomputing, 2020

A Survey on Dynamic Network Embedding.
CoRR, 2020

A Privacy-Preserving Multi-Task Framework for Knowledge Graph Enhanced Recommendation.
IEEE Access, 2020

2019
Sim2vec: Node similarity preserving network embedding.
Inf. Sci., 2019

Research on Spinal Lumbar Sacral Degeneration Finite Element Model.
Int. J. Pattern Recognit. Artif. Intell., 2019

A Privacy-Preserving Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition.
Frontiers Neurorobotics, 2019

Enhancing Attributed Network Embedding via Similarity Measure.
IEEE Access, 2019

Missing Data Processing Based on Deep Neural Network Enhanced by K-Means.
Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019

File Matching Based on Secure Authentication and Proxy Homomorphic Re-encryption.
Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019

A General Multi-Source Data Fusion Framework.
Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019

2018
Community discovery in networks with deep sparse filtering.
Pattern Recognit., 2018

Construction of Biological Model of Human Lumbar and Analysis of its Mechanical Properties.
Int. J. Pattern Recognit. Artif. Intell., 2018

A Method of Automatic Code Generation Based on AADL Model.
Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, 2018

Massive GIS Spatio-temporal Data Storage Method in Cloud Environment.
Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, 2018

Chinese Named Entity Recognition Based on Rules and Conditional Random Field.
Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, 2018

2017
Three-Dimensional Geometric Statistical Model Based on Locating Feature Points of Gaussian Curvature Flow and Vector Inner Product.
Proceedings of the International Conference on Compute and Data Analysis, 2017


  Loading...