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ORCIDShuai Wang 0033
Person information
- affiliation: Singapore University of Technology and Design, Information Systems Technology and Design Pillar, Tampines, Singapore
- affiliation (PhD 2021): Chinese University of Hong Kong, School of Science and Engineering, Shenzhen, China
- affiliation (2014-2016): Hong Kong University of Science and Technology, Hong Kong
Other persons with the same name
- Shuai Wang — disambiguation page
- Shuai Wang 0001
![[0000-0003-3164-7002]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3164-7002")
— Simula Research Laboratory, Oslo, Norway (and 1 more) - Shuai Wang 0002 — Chinese Academy of Sciences, Academy of Mathematics and Systems Science, NCMIS, Beijing, China
- Shuai Wang 0003 — Chinese Academy of Sciences, Shenyang Institute of Automation, State Key Laboratory of Robotics, China
- Shuai Wang 0004 — Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, China (and 2 more)
- Shuai Wang 0005 — Chinese Academy of Sciences, Institute of Automation, State Key Laboratory of Management and Control for Complex Systems, Beijing, China
- Shuai Wang 0006 — Nanjing University, Department of Computer Science and Technology, China (and 1 more)
- Shuai Wang 0007 — Tencent Robotics X, Shenzhen, China (and 1 more)
- Shuai Wang 0008 — Southeast University, School of Computer Science and Engineering, Nanjing, China (and 1 more)
- Shuai Wang 0009 — Sun Yat-sen University, Shenzhen, China (and 1 more)
- Shuai Wang 0010 — Ryerson University, Department of Electrical and Computer Engineering, Toronto, ON, Canada (and 1 more)
- Shuai Wang 0011 — Hong Kong University of Science and Technology, Hong Kong (and 2 more)
- Shuai Wang 0012 — Hong Kong Polytechnic University, Department of Computing, Hong Kong
- Shuai Wang 0013 — Beijing Institute of Technology, School of Information and Electronics, China
- Shuai Wang 0014 — Vrije Universiteit Amsterdam, The Netherlands (and 2 more)
- Shuai Wang 0015 — Wuhan University, School of Resource and Environmental Science, China
- Shuai Wang 0016 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, China
- Shuai Wang 0017 — Tianjin University, Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, China
- Shuai Wang 0018 — University of Science and Technology of China, Department of Automation, Hefei, China
- Shuai Wang 0019 — Xidian University, State Key Laboratory of Integrated Service Networks, Xian, China
- Shuai Wang 0020 — University of Illinois at Chicago, Department of Computer Science, USA
- Shuai Wang 0021 — George Mason University, Department of Computer Science, Fairfax, VA, USA (and 1 more)
- Shuai Wang 0022 — SRI International, Center for Technology in Learning, Menlo Park, CA, USA (and 1 more)
- Shuai Wang 0023 — Changchun University of Science and Technology, School of Computer Science and Technology, China (and 1 more)
- Shuai Wang 0024 — Shenyang Agricultural University, College of Land and Environment, China (and 2 more)
- Shuai Wang 0025 — Changchun University of Science and Technology, School of Science, China
- Shuai Wang 0026 — Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China (and 1 more)
- Shuai Wang 0027 — Beihang University, School of Computer Science and Engineering, Beijing, China (and 1 more)
- Shuai Wang 0028 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Shuai Wang 0029 — Boston University, Division of Systems Engineering, Boston, MA, USA
- Shuai Wang 0030 — JOYY Inc, Beijing, China (and 2 more)
- Shuai Wang 0031 — China Three Gorges University, Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, Yichang, China (and 1 more)
- Shuai Wang 0032 — University of Queensland, QLD, Australia
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Journal Articles
- 2024
[j4]Yiwei Li, Shuai Wang, Chong-Yung Chi, Tony Q. S. Quek:
Differentially Private Federated Clustering Over Non-IID Data. IEEE Internet Things J. 11(4): 6705-6721 (2024)- [j3]Shuai Wang, Yanqing Xu, Yanli Yuan, Tony Q. S. Quek:
Toward Fast Personalized Semi-Supervised Federated Learning in Edge Networks: Algorithm Design and Theoretical Guarantee. IEEE Trans. Wirel. Commun. 23(2): 1170-1183 (2024) - 2022
- [j2]Shuai Wang, Tsung-Hui Chang:
Federated Matrix Factorization: Algorithm Design and Application to Data Clustering. IEEE Trans. Signal Process. 70: 1625-1640 (2022) - 2021
- [j1]Shuai Wang, Tsung-Hui Chang, Ying Cui, Jong-Shi Pang:
Clustering by Orthogonal NMF Model and Non-Convex Penalty Optimization. IEEE Trans. Signal Process. 69: 5273-5288 (2021)
Conference and Workshop Papers
- 2023
- [c6]Shuai Wang, Yanqing Xu, Zhiguo Wang, Tsung-Hui Chang, Tony Q. S. Quek, Defeng Sun:
Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework. AAAI 2023: 10175-10183 - [c5]Shuai Wang, Yanqing Xu, Yanli Yuan, Xiuhua Wang, Tony Q. S. Quek:
Boosting Semi-Supervised Federated Learning with Model Personalization and Client-Variance-Reduction. ICASSP 2023: 1-5 - 2022
- [c4]Yanqing Xu, Donghong Cai, Shuai Wang, Zhicheng Dong, Weixi Zhou:
Energy-Efficient Multi-cell NOMA Design via Coalition Formation Game. GAMENETS 2022: 215-229 - 2021
- [c3]Shuai Wang, Richard Cornelius Suwandi, Tsung-Hui Chang:
Demystifying Model Averaging for Communication-Efficient Federated Matrix Factorization. ICASSP 2021: 3680-3684 - 2019
- [c2]Shuai Wang, Tsung-Hui Chang, Ying Cui, Jong-Shi Pang:
Clustering by Orthogonal Non-negative Matrix Factorization: A Sequential Non-convex Penalty Approach. ICASSP 2019: 5576-5580 - 2018
- [c1]Shuai Wang, Peng Wu, Manqi Zhou, Tsung-Hui Chang, Song Wu:
Cell Subclass Identification in Single-Cell RNA-Sequencing Data Using Orthogonal Nonnegative Matrix Factorization. ICASSP 2018: 876-880
Informal and Other Publications
- 2023
- [i5]Shuai Wang, Yanqing Xu, Yanyi Yuan, Tony Q. S. Quek:
Towards Fast Personalized Semi-Supervised Federated Learning in Edge Networks: Algorithm Design and Theoretical Guarantee. CoRR abs/2306.04155 (2023) - [i4]Yiwei Li, Chien-Wei Huang, Shuai Wang, Chong-Yung Chi, Tony Q. S. Quek:
Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model Sparsification. CoRR abs/2310.19558 (2023) - 2022
- [i3]Yiwei Li, Shuai Wang, Tsung-Hui Chang, Chong-Yung Chi:
Federated Stochastic Primal-dual Learning with Differential Privacy. CoRR abs/2204.12284 (2022) - 2020
- [i2]Shuai Wang, Tsung-Hui Chang:
Federated Clustering via Matrix Factorization Models: From Model Averaging to Gradient Sharing. CoRR abs/2002.04930 (2020) - 2019
- [i1]Shuai Wang, Tsung-Hui Chang, Ying Cui, Jong-Shi Pang:
Clustering by Orthogonal NMF Model and Non-Convex Penalty Optimization. CoRR abs/1906.00570 (2019)
Coauthor Index
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last updated on 2024-05-14 22:48 CEST by the dblp team
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