Cell Subclass Identification in Single-Cell RNA-Sequencing Data Using Orthogonal Nonnegative Matrix Factorization. - Shuai Wang 033; Peng Wu; Manqi Zhou; Tsung-Hui Chang; Song Wu (ICASSP, 2018)

Clustering by Orthogonal Non-negative Matrix Factorization: A Sequential Non-convex Penalty Approach. - Shuai Wang 033; Tsung-Hui Chang; Ying Cui 004; Jong-Shi Pang (ICASSP, 2019)

Federated Clustering via Matrix Factorization Models: From Model Averaging to Gradient Sharing. - Shuai Wang 033; Tsung-Hui Chang (CoRR, 2020)

Demystifying Model Averaging for Communication-Efficient Federated Matrix Factorization. - Shuai Wang 033; Richard Cornelius Suwandi; Tsung-Hui Chang (ICASSP, 2021)

Clustering by Orthogonal NMF Model and Non-Convex Penalty Optimization. - Shuai Wang 033; Tsung-Hui Chang; Ying Cui 004; Jong-Shi Pang (IEEE Trans. Signal Process., 2021)

Energy-Efficient Multi-cell NOMA Design via Coalition Formation Game. - Yanqing Xu; Donghong Cai; Shuai Wang 033; Zhicheng Dong; Weixi Zhou (GAMENETS, 2022)

Federated Stochastic Primal-dual Learning with Differential Privacy. - Yiwei Li 003; Shuai Wang 033; Tsung-Hui Chang; Chong-Yung Chi (CoRR, 2022)

Federated Matrix Factorization: Algorithm Design and Application to Data Clustering. - Shuai Wang 033; Tsung-Hui Chang (IEEE Trans. Signal Process., 2022)

Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework. - Shuai Wang 033; Yanqing Xu; Zhiguo Wang 005; Tsung-Hui Chang; Tony Q. S. Quek; Defeng Sun (AAAI, 2023)

SIC-Free NOMA Designs Via Symbol-Level Precoding. - Yanqing Xu; Fang Fang 005; Shuai Wang 033; Donghong Cai (GLOBECOM, 2023)

Boosting Semi-Supervised Federated Learning with Model Personalization and Client-Variance-Reduction. - Shuai Wang 033; Yanqing Xu; Yanli Yuan; Xiuhua Wang 009; Tony Q. S. Quek (ICASSP, 2023)

Towards Fast Personalized Semi-Supervised Federated Learning in Edge Networks: Algorithm Design and Theoretical Guarantee. - Shuai Wang 033; Yanqing Xu; Yanyi Yuan; Tony Q. S. Quek (CoRR, 2023)

Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model Sparsification. - Yiwei Li 003; Chien-Wei Huang; Shuai Wang 033; Chong-Yung Chi; Tony Q. S. Quek (CoRR, 2023)

A Low-Complexity Constructive Interference Exploitation Scheme in IRS-NOMA Systems. - Yanqing Xu; Donghong Cai; Shuai Wang 033; Zhou Wang 005; Weixi Zhou; Zhicheng Dong (ICCT, 2024)

Distributed Spatially Non-Stationary Channel Estimation for Extremely-Large Antenna Systems. - Yanqing Xu; Shuai Wang 033; Ruihong Jiang; Zhou Wang 005 (EAI Endorsed Trans. Ind. Networks Intell. Syst., 2024)

Privacy-Preserving Federated Primal - Dual Learning for Nonconvex and Nonsmooth Problems With Model Sparsification. - Yiwei Li 003; Chien-Wei Huang; Shuai Wang 033; Chong-Yung Chi; Tony Q. S. Quek (IEEE Internet Things J., 2024)

Differentially Private Federated Clustering Over Non-IID Data. - Yiwei Li 003; Shuai Wang 033; Chong-Yung Chi; Tony Q. S. Quek (IEEE Internet Things J., 2024)

Toward Fast Personalized Semi-Supervised Federated Learning in Edge Networks: Algorithm Design and Theoretical Guarantee. - Shuai Wang 033; Yanqing Xu; Yanli Yuan; Tony Q. S. Quek (IEEE Trans. Wirel. Commun., 2024)

Energy Efficiency Maximization for Downlink NOMA Designs via Symbol-Level Precoding. - Yanqing Xu; Fang Fang 005; Shuai Wang 033; Donghong Cai (IEEE Trans. Veh. Technol., 2024)

Differentially Private and Heterogeneity-Robust Federated Learning With Theoretical Guarantee. - Xiuhua Wang 009; Shuai Wang 033; Yiwei Li 003; Fengrui Fan; Shikang Li; Xiaodong Lin 001 (IEEE Trans. Artif. Intell., 2024)

Attribute-Based Access Control Encryption. - Xiuhua Wang 009; Mengyang Yu; Yaohui Wang; Yinjia Pi; Peng Xu 003; Shuai Wang 033; Hai Jin 001; Min Han (IEEE Trans. Dependable Secur. Comput., 2025)

Differentially Private Federated Stochastic Primal-Dual Learning for Internet of Vehicles. - Yiwei Li 003; Shuai Wang 033; Tsung-Hui Chang (IEEE Internet Things J., 2025)

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks. - Shuai Wang 033; Yanqing Xu; Chaoqun You; Mingjie Shao; Tony Q. S. Quek (IEEE Trans. Mob. Comput., 2025)