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Shuai WANG
Shuai WANG
Postdoctoral Research Fellow, Singapore University of Technology and Design
Verified email at link.cuhk.edu.cn
Title
Cited by
Cited by
Year
Adaptive unpacking of Android apps
L Xue, X Luo, L Yu, S Wang, D Wu
2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE …, 2017
932017
Enhancing the description-to-behavior fidelity in android apps with privacy policy
L Yu, X Luo, C Qian, S Wang, HKN Leung
IEEE Transactions on Software Engineering 44 (9), 834-854, 2017
712017
Revisiting the description-to-behavior fidelity in android applications
L Yu, X Luo, C Qian, S Wang
2016 IEEE 23rd International Conference on Software Analysis, Evolution, and …, 2016
402016
Clustering by orthogonal NMF model and non-convex penalty optimization
S Wang, TH Chang, Y Cui, JS Pang
IEEE Transactions on Signal Processing 69, 5273-5288, 2021
302021
Federated matrix factorization: Algorithm design and application to data clustering
S Wang, TH Chang
IEEE Transactions on Signal Processing 70, 1625-1640, 2022
24*2022
Clustering by orthogonal non-negative matrix factorization: A sequential non-convex penalty approach
S Wang, TH Chang, Y Cui, JS Pang
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
212019
Demystifying model averaging for communication-efficient federated matrix factorization
S Wang, RC Suwandi, TH Chang
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
152021
Is what you measure what you expect? factors affecting smartphone-based mobile network measurement
L Xue, X Ma, X Luo, L Yu, S Wang, T Chen
IEEE INFOCOM 2017-IEEE Conference on Computer Communications, 1-9, 2017
132017
Federated Stochastic Primal-dual Learning with Differential Privacy
Y Li, S Wang, TH Chang, CY Chi
https://arxiv.org/abs/2204.12284, 2022
102022
Differentially Private Federated Clustering over Non-IID Data
Y Li, S Wang, CY Chi, TQS Quek
IEEE Internet of Things Journal, 1-1, 2023
62023
Differentially Private Federated Learning in Edge Networks: The Perspective of Noise Reduction
Y Li, S Wang, CY Chi, TQS Quek
IEEE Network 36 (5), 167-172, 2022
62022
Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework
S Wang, Y Xu, Z Wang, TH Chang, TQS Quek, D Sun
Proceedings of the AAAI Conference on Artificial Intelligence, 2023
42023
Cell subclass identification in single-cell rna-sequencing data using orthogonal nonnegative matrix factorization
S Wang, P Wu, M Zhou, TH Chang, S Wu
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
42018
Boosting Semi-Supervised Federated Learning with Model Personalization and Client-Variance-Reduction
S Wang, Y Xu, Y Yuan, X Wang, TQS Quek
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
32023
Towards Fast Personalized Semi-Supervised Federated Learning in Edge Networks: Algorithm Design and Theoretical Guarantee
S Wang, Y Xu, Y Yuan, TQS Quek
IEEE Transactions on Wireless Communications, 2023
22023
Privacy-Preserving Federated Primal-Dual Learning for Non-Convex Problems With Non-Smooth Regularization
Y Li, CW Huang, S Wang, CY Chi, TQS Quek
2023 IEEE 33rd International Workshop on Machine Learning for Signal …, 2023
12023
A Convex Optimization Assisted DDQL Algorithm for Computing Resource Allocation in Space-Aerial Integrated Network
MH Lin, Y Li, S Wang, R Jiang, CY Chi
2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), 2023
12023
Distributed Spatially Non-Stationary Channel Estimation for Extremely-Large Antenna Systems
Y Xu, S Wang, R Jiang, Z Wang
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems 11 (3), 2024
2024
Privacy-Preserving Federated Primal-Dual Learning for Non-Convex and Non-Smooth Problems With Model Sparsification
Y Li, CW Huang, S Wang, CY Chi, TQS Quek
IEEE Internet of Things Journal, 2024
2024
SIC-Free NOMA Designs Via Symbol-Level Precoding
Y Xu, F Fang, S Wang, D Cai
GLOBECOM 2023-2023 IEEE Global Communications Conference, 3621-3626, 2023
2023
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