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2020 – today
- 2024
[j23]Mohammed Alzahrani, Qianlong Wang
, Weixian Liao, Xuhui Chen, Wei Yu:
Survey on Multi-Task Learning in Smart Transportation. IEEE Access 12: 17023-17044 (2024)- [j22]Qianlong Wang, Weixian Liao, Yifan Guo, Michael P. McGuire, Wei Yu:
Blockchain-Empowered Federated Learning Through Model and Feature Calibration. IEEE Internet Things J. 11(4): 5770-5780 (2024) - [j21]Papa Pene, Weixian Liao, Wei Yu:
Incentive Design for Heterogeneous Client Selection: A Robust Federated Learning Approach. IEEE Internet Things J. 11(4): 5939-5950 (2024) - 2023
- [j20]Ayodeji Falayi, Qianlong Wang, Weixian Liao, Wei Yu:
Survey of Distributed and Decentralized IoT Securities: Approaches Using Deep Learning and Blockchain Technology. Future Internet 15(5): 178 (2023) - [j19]Abubakar Ahmad Musa, Adamu Hussaini, Weixian Liao, Fan Liang, Wei Yu:
Deep Neural Networks for Spatial-Temporal Cyber-Physical Systems: A Survey. Future Internet 15(6): 199 (2023) - [j18]Zheyi Chen, Pu Tian, Weixian Liao, Xuhui Chen, Guobin Xu, Wei Yu:
Resource-Aware Knowledge Distillation for Federated Learning. IEEE Trans. Emerg. Top. Comput. 11(3): 706-719 (2023) - [c20]William Duckworth, Weixian Liao, Wei Yu:
Deblurring as a Defense against Adversarial Attacks. CloudNet 2023: 61-67 - [c19]James H. Nguyen, Weixian Liao, Wei Yu:
Towards Secure Communications in Heterogeneous Internet of Things. ICNC 2023: 426-430 - [c18]Turhan Kimbrough, Pu Tian, Weixian Liao, Wei Yu:
Performance of GAN-Based Denoising and Restoration Techniques for Adversarial Face Images. SERA 2023: 335-340 - 2022
- [j17]Zheyi Chen, Weixian Liao, Pu Tian, Qianlong Wang, Wei Yu:
A Fairness-Aware Peer-to-Peer Decentralized Learning Framework with Heterogeneous Devices. Future Internet 14(5): 138 (2022) - [j16]William Grant Hatcher, Cheng Qian, Fan Liang, Weixian Liao, Erik Philip Blasch, Wei Yu:
Secure IoT Search Engine: Survey, Challenges Issues, Case Study, and Future Research Direction. IEEE Internet Things J. 9(18): 16807-16823 (2022) - [j15]Pu Tian, Weixian Liao, Wei Yu, Erik Blasch:
WSCC: A Weight-Similarity-Based Client Clustering Approach for Non-IID Federated Learning. IEEE Internet Things J. 9(20): 20243-20256 (2022) - [c17]Turhan Kimbrough, Pu Tian, Weixian Liao, Erik Blasch, Wei Yu:
Deep CAPTCHA Recognition Using Encapsulated Preprocessing and Heterogeneous Datasets. INFOCOM Workshops 2022: 1-6 - [c16]Adamu Hussaini, Cheng Qian, Weixian Liao, Wei Yu:
A Taxonomy of Security and Defense Mechanisms in Digital Twins-based Cyber-Physical Systems. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2022: 597-604 - [c15]Pu Tian, Turhan Kimbrough, Weixian Liao, Erik Blasch, Wei Yu:
Transformations as Denoising: A Robust Approach to Weaken Adversarial Facial Images. NAS 2022: 1-8 - 2021
- [j14]Pu Tian, Zheyi Chen, Wei Yu, Weixian Liao:
Towards asynchronous federated learning based threat detection: A DC-Adam approach. Comput. Secur. 108: 102344 (2021) - [j13]Zheyi Chen, Weixian Liao, Kun Hua, Chao Lu, Wei Yu:
Towards asynchronous federated learning for heterogeneous edge-powered internet of things. Digit. Commun. Networks 7(3): 317-326 (2021) - [j12]Hansong Xu, Xing Liu, William Grant Hatcher, Guobin Xu, Weixian Liao, Wei Yu:
Priority-Aware Reinforcement-Learning-Based Integrated Design of Networking and Control for Industrial Internet of Things. IEEE Internet Things J. 8(6): 4668-4680 (2021) - [j11]Zheyi Chen, Pu Tian, Weixian Liao, Wei Yu:
Zero Knowledge Clustering Based Adversarial Mitigation in Heterogeneous Federated Learning. IEEE Trans. Netw. Sci. Eng. 8(2): 1070-1083 (2021) - [c14]Pu Tian, William Grant Hatcher, Weixian Liao, Wei Yu, Erik Blasch:
FALIoTSE: Towards Federated Adversarial Learning for IoT Search Engine Resiliency. DASC/PiCom/CBDCom/CyberSciTech 2021: 290-297 - [c13]Weichao Gao, Cheng Qian, William G. Hatcher, Weixian Liao, Chao Lu, Wei Yu:
Towards Scalability of the IoT Search Engine. DASC/PiCom/CBDCom/CyberSciTech 2021: 521-528 - 2020
- [j10]Lixing Yu, Yifan Guo, Qianlong Wang, Changqing Luo, Ming Li, Weixian Liao, Pan Li:
Spectrum Availability Prediction for Cognitive Radio Communications: A DCG Approach. IEEE Trans. Cogn. Commun. Netw. 6(2): 476-485 (2020) - [c12]Cheng Qian, Weichao Gao, William G. Hatcher, Weixian Liao, Chao Lu, Wei Yu:
Search Engine for Heterogeneous Internet of Things Systems and Optimization. DASC/PiCom/CBDCom/CyberSciTech 2020: 475-482
2010 – 2019
- 2019
- [j9]Xing Liu, Cheng Qian, William G. Hatcher, Hansong Xu, Weixian Liao, Wei Yu:
Secure Internet of Things (IoT)-Based Smart-World Critical Infrastructures: Survey, Case Study and Research Opportunities. IEEE Access 7: 79523-79544 (2019) - [j8]Fan Liang, William Grant Hatcher, Weixian Liao, Weichao Gao, Wei Yu:
Machine Learning for Security and the Internet of Things: The Good, the Bad, and the Ugly. IEEE Access 7: 158126-158147 (2019) - [j7]Weixian Liao, Changqing Luo, Sergio Salinas, Pan Li:
Efficient Secure Outsourcing of Large-Scale Convex Separable Programming for Big Data. IEEE Trans. Big Data 5(3): 368-378 (2019) - [c11]Tianxi Ji, Changqing Luo, Yifan Guo, Jinlong Ji, Weixian Liao, Pan Li:
Differentially Private Community Detection in Attributed Social Networks. ACML 2019: 16-31 - [c10]Xufei Wang, Weixian Liao, Yifan Guo, Lixing Yu, Qianlong Wang, Miao Pan, Pan Li:
PerRNN: Personalized Recurrent Neural Networks for Acceleration-Based Human Activity Recognition. ICC 2019: 1-6 - [c9]Fan Liang, William Grant Hatcher, Guobin Xu, James H. Nguyen, Weixian Liao, Wei Yu:
Towards Online Deep Learning-Based Energy Forecasting. ICCCN 2019: 1-9 - [c8]Xing Liu, Hansong Xu, Weixian Liao, Wei Yu:
Reinforcement Learning for Cyber-Physical Systems. ICII 2019: 318-327 - 2018
- [j6]Sergio Salinas, Changqing Luo, Xuhui Chen, Weixian Liao, Pan Li:
Efficient Secure Outsourcing of Large-Scale Sparse Linear Systems of Equations. IEEE Trans. Big Data 4(1): 26-39 (2018) - [j5]Ming Li, Weixian Liao, Xuhui Chen, Jinyuan Sun, Xiaoxia Huang, Pan Li:
Economic-Robust Transmission Opportunity Auction for D2D Communications in Cognitive Mesh Assisted Cellular Networks. IEEE Trans. Mob. Comput. 17(8): 1806-1819 (2018) - [c7]Yifan Guo, Weixian Liao, Qianlong Wang, Lixing Yu, Tianxi Ji, Pan Li:
Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach. ACML 2018: 97-112 - [c6]Xuhui Chen, Jinlong Ji, Changqing Luo, Weixian Liao, Pan Li:
When Machine Learning Meets Blockchain: A Decentralized, Privacy-preserving and Secure Design. IEEE BigData 2018: 1178-1187 - [c5]Weixian Liao, Yifan Guo, Xuhui Chen, Pan Li:
A Unified Unsupervised Gaussian Mixture Variational Autoencoder for High Dimensional Outlier Detection. IEEE BigData 2018: 1208-1217 - 2017
- [j4]Weixian Liao, Sergio Salinas, Ming Li, Pan Li, Kenneth A. Loparo:
Cascading Failure Attacks in the Power System: A Stochastic Game Perspective. IEEE Internet Things J. 4(6): 2247-2259 (2017) - [j3]Sheng Cai, Weixian Liao, Changqing Luo, Ming Li, Xiaoxia Huang, Pan Li:
CRIL: An Efficient Online Adaptive Indoor Localization System. IEEE Trans. Veh. Technol. 66(5): 4148-4160 (2017) - 2016
- [j2]Weixian Liao, Ming Li, Sergio Salinas, Pan Li, Miao Pan:
Energy-Source-Aware Cost Optimization for Green Cellular Networks with Strong Stability. IEEE Trans. Emerg. Top. Comput. 4(4): 541-555 (2016) - [j1]Arun Thapa, Weixian Liao, Ming Li, Pan Li, Jinyuan Sun:
SPA: A Secure and Private Auction Framework for Decentralized Online Social Networks. IEEE Trans. Parallel Distributed Syst. 27(8): 2394-2407 (2016) - [c4]Sergio Salinas, Changqing Luo, Weixian Liao, Pan Li:
Efficient Secure Outsourcing of Large-scale Quadratic Programs. AsiaCCS 2016: 281-292 - [c3]Weixian Liao, Wei Du, Sergio Salinas, Pan Li:
Efficient Privacy-Preserving Outsourcing of Large-Scale Convex Separable Programming for Smart Cities. HPCC/SmartCity/DSS 2016: 1349-1356 - 2014
- [c2]Sergio Salinas, Changqing Luo, Weixian Liao, Pan Li:
State estimation for energy theft detection in microgrids. ChinaCom 2014: 96-101 - [c1]Weixian Liao, Ming Li, Sergio Salinas, Pan Li, Miao Pan:
Optimal Energy Cost for Strongly Stable Multi-hop Green Cellular Networks. ICDCS 2014: 62-72
Coauthor Index
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