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 | 97 | 2017 |
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 | 73 | 2017 |
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 | 40 | 2016 |
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 | 35 | 2021 |
Federated matrix factorization: Algorithm design and application to data clustering S Wang, TH Chang IEEE Transactions on Signal Processing 70, 1625-1640, 2022 | 31* | 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 | 23 | 2019 |
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 | 15 | 2021 |
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 | 13 | 2017 |
Differentially Private Federated Clustering over Non-IID Data Y Li, S Wang, CY Chi, TQS Quek IEEE Internet of Things Journal, 1-1, 2023 | 11 | 2023 |
Federated Stochastic Primal-dual Learning with Differential Privacy Y Li, S Wang, TH Chang, CY Chi https://arxiv.org/abs/2204.12284, 2022 | 11 | 2022 |
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 | 8 | 2022 |
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 | 7 | 2023 |
Toward 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 | 6 | 2023 |
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 | 4 | 2023 |
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 | 4 | 2018 |
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 | 3 | 2023 |
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 | 1 | 2024 |
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 | 1 | 2023 |
Attribute-Based Access Control Encryption X Wang, M Yu, Y Wang, Y Pi, P Xu, S Wang, H Jin, M Han IEEE Transactions on Dependable and Secure Computing, 2024 | | 2024 |
Differentially Private and Heterogeneity-Robust Federated Learning with Theoretical Guarantee X Wang, S Wang, Y Li, F Fan, S Li, X Lin IEEE Transactions on Artificial Intelligence, 2024 | | 2024 |