Ke Pan

Orcid: 0000-0003-1215-558X

Affiliations:

Xidian University, School of Cyber Engineering, Xi'an, China
Xidian University, School of Electronic Engineering, Xi'an, China (PhD 2022)

According to our database¹, Ke Pan authored at least 20 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Robust Single-message Shuffle Differential Privacy Protocol for Accurate Distribution Estimation.

[BibT_eX]

[DOI]

CoRR, March, 2026

2025

Preserving Privacy in Fine-Grained Data Distillation With Sparse Answers for Efficient Edge Computing.

[BibT_eX]

[DOI]

IEEE Internet Things J., April, 2025

Privacy-enhanced data distillation with probability distribution matching.

[BibT_eX]

[DOI]

Neurocomputing, 2025

DT-FedSDC: A Dual-Target Federated Framework with Semantic Enhancement and Disentangled Contrastive Learning for Cross-Domain Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Model Sparsification for Communication-Efficient Multi-Party Learning via Contrastive Distillation in Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Differential privacy in deep learning: A literature survey.

[BibT_eX]

[DOI]

Neurocomputing, 2024

2023

Multiparty Dual Learning.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., May, 2023

Privacy-enhanced generative adversarial network with adaptive noise allocation.

[BibT_eX]

[DOI]

Ke Pan

Maoguo Gong

Yuan Gao

Knowl. Based Syst., 2023

2021

Differentially private regression analysis with dynamic privacy allocation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Dynamic network embedding via structural attention.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2021

Multi-Party Dual Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Influence-aware graph neural networks.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2021

2020

Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition.

[BibT_eX]

[DOI]

Neural Networks, 2020

Proximity-aware heterogeneous information network embedding.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Node proximity preserved dynamic network embedding via matrix perturbation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Deep heterogeneous network embedding based on Siamese Neural Networks.

[BibT_eX]

[DOI]

Neurocomputing, 2020

A Survey on Differentially Private Machine Learning [Review Article].

[BibT_eX]

[DOI]

IEEE Comput. Intell. Mag., 2020

2019

Differential privacy preservation in regression analysis based on relevance.

[BibT_eX]

[DOI]

Maoguo Gong

Ke Pan

Yu Xie

Knowl. Based Syst., 2019

Enhancing Attributed Network Embedding via Similarity Measure.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

Chinese Named Entity Recognition Based on Rules and Conditional Random Field.

[BibT_eX]

[DOI]

Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, 2018

Ke Pan

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Bibliography

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