Shuai Wang

27 papers A* 1B 1Misc 4Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Attribute-Based Access Control Encryption.
IEEE Trans. Dependable Secur. Comput.
Xiuhua Wang, Mengyang Yu, Yaohui Wang, Yinjia Pi, Peng Xu, Shuai Wang, Hai Jin, Min Han
2025 J jnl
Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks.
IEEE Trans. Mob. Comput.
Shuai Wang, Yanqing Xu, Chaoqun You, Mingjie Shao, Tony Q. S. Quek
2025 J jnl
Differentially Private Federated Stochastic Primal-Dual Learning for Internet of Vehicles.
IEEE Internet Things J.
Yiwei Li, Shuai Wang, Tsung-Hui Chang
2025 J jnl
Efficient Federated Learning Algorithm Design for Distributed Channel Estimation in Cell-Free Massive MIMO Systems.
IEEE Trans. Commun.
Yanqing Xu, Shuai Wang
2025 J jnl
Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation.
CoRR
Yiwei Li, Shuai Wang, Zhuojun Tian, Xiuhua Wang, Shijian Su
2025 — conf
Improving Byzantine-Resilience in Federated Learning via Diverse Aggregation and Adaptive Variance Reduction.
ICICS (2)
Xiuhua Wang, Shikang Li, Fengrui Fan, Shuai Wang, Yiwei Li, Yu Zheng
2024 — conf
A Low-Complexity Constructive Interference Exploitation Scheme in IRS-NOMA Systems.
ICCT
Yanqing Xu, Donghong Cai, Shuai Wang, Zhou Wang, Weixi Zhou, Zhicheng Dong
2024 J jnl
Differentially Private Federated Clustering Over Non-IID Data.
IEEE Internet Things J.
Yiwei Li, Shuai Wang, Chong-Yung Chi, Tony Q. S. Quek
2024 J jnl
Differentially Private and Heterogeneity-Robust Federated Learning With Theoretical Guarantee.
IEEE Trans. Artif. Intell.
Xiuhua Wang, Shuai Wang, Yiwei Li, Fengrui Fan, Shikang Li, Xiaodong Lin
2024 J jnl
Distributed Spatially Non-Stationary Channel Estimation for Extremely-Large Antenna Systems.
EAI Endorsed Trans. Ind. Networks Intell. Syst.
Yanqing Xu, Shuai Wang, Ruihong Jiang, Zhou Wang
2024 J jnl
Energy Efficiency Maximization for Downlink NOMA Designs via Symbol-Level Precoding.
IEEE Trans. Veh. Technol.
Yanqing Xu, Fang Fang, Shuai Wang, Donghong Cai
2024 J jnl
Privacy-Preserving Federated Primal - Dual Learning for Nonconvex and Nonsmooth Problems With Model Sparsification.
IEEE Internet Things J.
Yiwei Li, Chien-Wei Huang, Shuai Wang, Chong-Yung Chi, Tony Q. S. Quek
2024 J jnl
Toward Fast Personalized Semi-Supervised Federated Learning in Edge Networks: Algorithm Design and Theoretical Guarantee.
IEEE Trans. Wirel. Commun.
Shuai Wang, Yanqing Xu, Yanli Yuan, Tony Q. S. Quek
2023 A* conf
Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework.
AAAI
Shuai Wang, Yanqing Xu, Zhiguo Wang, Tsung-Hui Chang, Tony Q. S. Quek, Defeng Sun
2023 Misc conf
Boosting Semi-Supervised Federated Learning with Model Personalization and Client-Variance-Reduction.
ICASSP
Shuai Wang, Yanqing Xu, Yanli Yuan, Xiuhua Wang, Tony Q. S. Quek
2023 J jnl
Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model Sparsification.
CoRR
Yiwei Li, Chien-Wei Huang, Shuai Wang, Chong-Yung Chi, Tony Q. S. Quek
2023 B conf
SIC-Free NOMA Designs Via Symbol-Level Precoding.
GLOBECOM
Yanqing Xu, Fang Fang, Shuai Wang, Donghong Cai
2023 J jnl
Towards Fast Personalized Semi-Supervised Federated Learning in Edge Networks: Algorithm Design and Theoretical Guarantee.
CoRR
Shuai Wang, Yanqing Xu, Yanyi Yuan, Tony Q. S. Quek
2022 — conf
Energy-Efficient Multi-cell NOMA Design via Coalition Formation Game.
GAMENETS
Yanqing Xu, Donghong Cai, Shuai Wang, Zhicheng Dong, Weixi Zhou
2022 J jnl
Federated Matrix Factorization: Algorithm Design and Application to Data Clustering.
IEEE Trans. Signal Process.
Shuai Wang, Tsung-Hui Chang
2022 J jnl
Federated Stochastic Primal-dual Learning with Differential Privacy.
CoRR
Yiwei Li, Shuai Wang, Tsung-Hui Chang, Chong-Yung Chi
2021 J jnl
Clustering by Orthogonal NMF Model and Non-Convex Penalty Optimization.
IEEE Trans. Signal Process.
Shuai Wang, Tsung-Hui Chang, Ying Cui, Jong-Shi Pang
2021 Misc conf
Demystifying Model Averaging for Communication-Efficient Federated Matrix Factorization.
ICASSP
Shuai Wang, Richard Cornelius Suwandi, Tsung-Hui Chang
2020 J jnl
Federated Clustering via Matrix Factorization Models: From Model Averaging to Gradient Sharing.
CoRR
Shuai Wang, Tsung-Hui Chang
2019 J jnl
Clustering by Orthogonal NMF Model and Non-Convex Penalty Optimization.
CoRR
Shuai Wang, Tsung-Hui Chang, Ying Cui, Jong-Shi Pang
2019 Misc conf
Clustering by Orthogonal Non-negative Matrix Factorization: A Sequential Non-convex Penalty Approach.
ICASSP
Shuai Wang, Tsung-Hui Chang, Ying Cui, Jong-Shi Pang
2018 Misc conf
Cell Subclass Identification in Single-Cell RNA-Sequencing Data Using Orthogonal Nonnegative Matrix Factorization.
ICASSP
Shuai Wang, Peng Wu, Manqi Zhou, Tsung-Hui Chang, Song Wu