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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 18 papers between 2018 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Preserving Privacy in Fine-Grained Data Distillation With Sparse Answers for Efficient Edge Computing.
[BibTeX]
[DOI]
Ke Pan
,
Maoguo Gong
,
Kaiyuan Feng
,
Hui Li
IEEE Internet Things J., April, 2025

Privacy-enhanced data distillation with probability distribution matching.
[BibTeX]
[DOI]
Ke Pan
,
Yuxin Wen
,
Yiming Wang
,
Maoguo Gong
,
Hui Li
,
Shanfeng Wang
Neurocomputing, 2025

2024
Model Sparsification for Communication-Efficient Multi-Party Learning via Contrastive Distillation in Image Classification.
[BibTeX]
[DOI]
Kaiyuan Feng
,
Maoguo Gong
,
Ke Pan
,
Hongyu Zhao
,
Yue Wu
,
Kai Sheng
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Differential privacy in deep learning: A literature survey.
[BibTeX]
[DOI]
Ke Pan
,
Yew-Soon Ong
,
Maoguo Gong
,
Hui Li
,
A. Kai Qin
,
Yuan Gao
Neurocomputing, 2024

2023
Multiparty Dual Learning.
[BibTeX]
[DOI]
Yuan Gao
,
Maoguo Gong
,
Yu Xie
,
A. Kai Qin
,
Ke Pan
,
Yew-Soon Ong
IEEE Trans. Cybern., May, 2023

Privacy-enhanced generative adversarial network with adaptive noise allocation.
[BibTeX]
[DOI]
Ke Pan
,
Maoguo Gong
,
Yuan Gao
Knowl. Based Syst., 2023

2021
Differentially private regression analysis with dynamic privacy allocation.
[BibTeX]
[DOI]
Ke Pan
,
Maoguo Gong
,
Kaiyuan Feng
,
Kun Wang
Knowl. Based Syst., 2021

Dynamic network embedding via structural attention.
[BibTeX]
[DOI]
Chen Zhang
,
Yiming Fan
,
Yu Xie
,
Bin Yu
,
Chunyi Li
,
Ke Pan
Expert Syst. Appl., 2021

Multi-Party Dual Learning.
[BibTeX]
[DOI]
Maoguo Gong
,
Yuan Gao
,
Yu Xie
,
A. Kai Qin
,
Ke Pan
,
Yew-Soon Ong
CoRR, 2021

Influence-aware graph neural networks.
[BibTeX]
[DOI]
Bin Yu
,
Yu Zhang
,
Yu Xie
,
Chen Zhang
,
Ke Pan
Appl. Soft Comput., 2021

2020
Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition.
[BibTeX]
[DOI]
Maoguo Gong
,
Ke Pan
,
Yu Xie
,
A. Kai Qin
,
Zedong Tang
Neural Networks, 2020

Proximity-aware heterogeneous information network embedding.
[BibTeX]
[DOI]
Chen Zhang
,
Guodong Wang
,
Bin Yu
,
Yu Xie
,
Ke Pan
Knowl. Based Syst., 2020

Node proximity preserved dynamic network embedding via matrix perturbation.
[BibTeX]
[DOI]
Bin Yu
,
Bing Lu
,
Chen Zhang
,
Chunyi Li
,
Ke Pan
Knowl. Based Syst., 2020

Deep heterogeneous network embedding based on Siamese Neural Networks.
[BibTeX]
[DOI]
Chen Zhang
,
Zhouhua Tang
,
Bin Yu
,
Yu Xie
,
Ke Pan
Neurocomputing, 2020

A Survey on Differentially Private Machine Learning [Review Article].
[BibTeX]
[DOI]
Maoguo Gong
,
Yu Xie
,
Ke Pan
,
Kaiyuan Feng
,
Alex Kai Qin
IEEE Comput. Intell. Mag., 2020

2019
Differential privacy preservation in regression analysis based on relevance.
[BibTeX]
[DOI]
Maoguo Gong
,
Ke Pan
,
Yu Xie
Knowl. Based Syst., 2019

Enhancing Attributed Network Embedding via Similarity Measure.
[BibTeX]
[DOI]
Bin Yu
,
Yitong Li
,
Chen Zhang
,
Ke Pan
,
Yu Xie
IEEE Access, 2019

2018
Chinese Named Entity Recognition Based on Rules and Conditional Random Field.
[BibTeX]
[DOI]
Weiming Liu
,
Bin Yu
,
Chen Zhang
,
Han Wang
,
Ke Pan
Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, 2018


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