Shunshun Peng

According to our database, Shunshun Peng authored at least 13 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Correlation preservation in high-dimensional sparse data publication with local differential privacy.

Shunshun Peng, Wenhao Wang, Minhao Li, Haoqi Li, Mengmeng Yang, Taolin Guo

Knowl. Based Syst., 2026

When input perturbation outperforms gradient perturbation: Achieving high-accuracy deep learning under local differential privacy.

Shunshun Peng, Jun Zhang, Chenxing Hu, Quanwang Wu, Hongbing Wang, Mengmeng Yang, Taolin Guo

Inf. Process. Manag., 2026

2025

LDP-PPA: Local differential privacy protection for principal component analysis.

Shunshun Peng, Haoqi Li, Wenhao Wang, Kai Dong, Mengmeng Yang, Taolin Guo

Inf. Sci., 2025

LDP-QWSP: A General Local Differential Privacy Framework for QoS-Based Web Service Prediction.

Fuchang Luo, Haonan Wu, Shunshun Peng, Quanwang Wu, Hongbing Wang, Mengmeng Yang, Taolin Guo

Proceedings of the Service-Oriented Computing - 23rd International Conference, 2025

2024

Representation Learning Based on Vision Transformer.

Ruisheng Ran, Tianyu Gao, Qianwei Hu, Wenfeng Zhang, Shunshun Peng, Bin Fang

Int. J. Pattern Recognit. Artif. Intell., June, 2024

Improving the Accuracy of Locally Differentially Private Community Detection by Order-consistent Data Perturbation.

Taolin Guo, Shunshun Peng, Zhejian Zhang, Mengmeng Yang, Kwok-Yan Lam

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2023

Mining frequent items from high-dimensional set-valued data under local differential privacy protection.

Haonan Wu, Ruisheng Ran, Shunshun Peng, Mengmeng Yang, Taolin Guo

Expert Syst. Appl., December, 2023

RDPCF: Range-based differentially private user data perturbation for collaborative filtering.

Taolin Guo, Shunshun Peng, Kai Dong, You Zhao, Mingliang Zhou

Comput. Secur., November, 2023

Community-based social recommendation under local differential privacy protection.

Taolin Guo, Shunshun Peng, Yong Li, Mingliang Zhou, Trieu-Kien Truong

Inf. Sci., August, 2023

2022

Locally Differentially Private Frequent Pattern Mining for High-Dimensional Data in Mobile Smart Services.

Qi Li, Shunshun Peng, Haonan Wu, Ruisheng Ran, Yong Li, Mingliang Zhou, Taolin Guo, Qin Mao

Int. J. Pattern Recognit. Artif. Intell., December, 2022

2020

Multi-Clusters Adaptive Brain Storm Optimization Algorithm for QoS-Aware Service Composition.

Shunshun Peng, Hongbing Wang, Qi Yu

IEEE Access, 2020

2019

A parallel refined probabilistic approach for QoS-aware service composition.

Hongbing Wang, Shunshun Peng, Qi Yu

Future Gener. Comput. Syst., 2019

2017

Estimation of Distribution with Restricted Boltzmann Machine for Adaptive Service Composition.

Shunshun Peng, Hongbing Wang, Qi Yu

Proceedings of the 2017 IEEE International Conference on Web Services, 2017