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Shunshun Peng
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2020 – today
- 2024
- [c2]Taolin Guo
, Shunshun Peng
, Zhejian Zhang
, Mengmeng Yang
, Kwok-Yan Lam
:
Improving the Accuracy of Locally Differentially Private Community Detection by Order-consistent Data Perturbation. SIGIR 2024: 1743-1752 - 2023
- [j6]Taolin Guo
, Shunshun Peng, Kai Dong, You Zhao, Mingliang Zhou
:
RDPCF: Range-based differentially private user data perturbation for collaborative filtering. Comput. Secur. 134: 103452 (2023) - [j5]Haonan Wu, Ruisheng Ran, Shunshun Peng, Mengmeng Yang
, Taolin Guo
:
Mining frequent items from high-dimensional set-valued data under local differential privacy protection. Expert Syst. Appl. 234: 121105 (2023) - [j4]Taolin Guo
, Shunshun Peng, Yong Li, Mingliang Zhou, Trieu-Kien Truong:
Community-based social recommendation under local differential privacy protection. Inf. Sci. 639: 119002 (2023) - 2022
- [j3]Qi Li, Shunshun Peng, Haonan Wu, Ruisheng Ran, Yong Li, Mingliang Zhou
, Taolin Guo
, Qin Mao:
Locally Differentially Private Frequent Pattern Mining for High-Dimensional Data in Mobile Smart Services. Int. J. Pattern Recognit. Artif. Intell. 36(15): 2259039:1-2259039:23 (2022) - 2020
- [j2]Shunshun Peng
, Hongbing Wang, Qi Yu
:
Multi-Clusters Adaptive Brain Storm Optimization Algorithm for QoS-Aware Service Composition. IEEE Access 8: 48822-48835 (2020)
2010 – 2019
- 2019
- [j1]Hongbing Wang, Shunshun Peng, Qi Yu
:
A parallel refined probabilistic approach for QoS-aware service composition. Future Gener. Comput. Syst. 98: 609-626 (2019) - 2017
- [c1]Shunshun Peng, Hongbing Wang, Qi Yu
:
Estimation of Distribution with Restricted Boltzmann Machine for Adaptive Service Composition. ICWS 2017: 114-121
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last updated on 2024-08-27 22:57 CEST by the dblp team
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