Weixian Liao

Orcid: 0000-0003-1444-8925

According to our database1, Weixian Liao authored at least 43 papers between 2014 and 2024.

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Bibliography

2024
Blockchain-Empowered Federated Learning Through Model and Feature Calibration.
IEEE Internet Things J., February, 2024

Incentive Design for Heterogeneous Client Selection: A Robust Federated Learning Approach.
IEEE Internet Things J., February, 2024

Survey on Multi-Task Learning in Smart Transportation.
IEEE Access, 2024

2023
Deep Neural Networks for Spatial-Temporal Cyber-Physical Systems: A Survey.
Future Internet, June, 2023

Survey of Distributed and Decentralized IoT Securities: Approaches Using Deep Learning and Blockchain Technology.
Future Internet, May, 2023

Resource-Aware Knowledge Distillation for Federated Learning.
IEEE Trans. Emerg. Top. Comput., 2023

Performance of GAN-Based Denoising and Restoration Techniques for Adversarial Face Images.
Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023

Towards Secure Communications in Heterogeneous Internet of Things.
Proceedings of the International Conference on Computing, Networking and Communications, 2023

Deblurring as a Defense against Adversarial Attacks.
Proceedings of the 12th IEEE International Conference on Cloud Networking, 2023

2022
WSCC: A Weight-Similarity-Based Client Clustering Approach for Non-IID Federated Learning.
IEEE Internet Things J., 2022

Secure IoT Search Engine: Survey, Challenges Issues, Case Study, and Future Research Direction.
IEEE Internet Things J., 2022

A Fairness-Aware Peer-to-Peer Decentralized Learning Framework with Heterogeneous Devices.
Future Internet, 2022

Transformations as Denoising: A Robust Approach to Weaken Adversarial Facial Images.
Proceedings of the IEEE International Conference on Networking, Architecture and Storage, 2022

A Taxonomy of Security and Defense Mechanisms in Digital Twins-based Cyber-Physical Systems.
Proceedings of the 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2022

Deep CAPTCHA Recognition Using Encapsulated Preprocessing and Heterogeneous Datasets.
Proceedings of the IEEE INFOCOM 2022, 2022

2021
Zero Knowledge Clustering Based Adversarial Mitigation in Heterogeneous Federated Learning.
IEEE Trans. Netw. Sci. Eng., 2021

Priority-Aware Reinforcement-Learning-Based Integrated Design of Networking and Control for Industrial Internet of Things.
IEEE Internet Things J., 2021

Towards asynchronous federated learning for heterogeneous edge-powered internet of things.
Digit. Commun. Networks, 2021

Towards asynchronous federated learning based threat detection: A DC-Adam approach.
Comput. Secur., 2021

FALIoTSE: Towards Federated Adversarial Learning for IoT Search Engine Resiliency.
Proceedings of the IEEE Intl Conf on Dependable, 2021

Towards Scalability of the IoT Search Engine.
Proceedings of the IEEE Intl Conf on Dependable, 2021

2020
Spectrum Availability Prediction for Cognitive Radio Communications: A DCG Approach.
IEEE Trans. Cogn. Commun. Netw., 2020

Search Engine for Heterogeneous Internet of Things Systems and Optimization.
Proceedings of the IEEE Intl Conf on Dependable, 2020

2019
Efficient Secure Outsourcing of Large-Scale Convex Separable Programming for Big Data.
IEEE Trans. Big Data, 2019

Secure Internet of Things (IoT)-Based Smart-World Critical Infrastructures: Survey, Case Study and Research Opportunities.
IEEE Access, 2019

Machine Learning for Security and the Internet of Things: The Good, the Bad, and the Ugly.
IEEE Access, 2019

Reinforcement Learning for Cyber-Physical Systems.
Proceedings of the IEEE International Conference on Industrial Internet, 2019

Towards Online Deep Learning-Based Energy Forecasting.
Proceedings of the 28th International Conference on Computer Communication and Networks, 2019

PerRNN: Personalized Recurrent Neural Networks for Acceleration-Based Human Activity Recognition.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Differentially Private Community Detection in Attributed Social Networks.
Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018
Economic-Robust Transmission Opportunity Auction for D2D Communications in Cognitive Mesh Assisted Cellular Networks.
IEEE Trans. Mob. Comput., 2018

Efficient Secure Outsourcing of Large-Scale Sparse Linear Systems of Equations.
IEEE Trans. Big Data, 2018

A Unified Unsupervised Gaussian Mixture Variational Autoencoder for High Dimensional Outlier Detection.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

When Machine Learning Meets Blockchain: A Decentralized, Privacy-preserving and Secure Design.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017
CRIL: An Efficient Online Adaptive Indoor Localization System.
IEEE Trans. Veh. Technol., 2017

Cascading Failure Attacks in the Power System: A Stochastic Game Perspective.
IEEE Internet Things J., 2017

2016
SPA: A Secure and Private Auction Framework for Decentralized Online Social Networks.
IEEE Trans. Parallel Distributed Syst., 2016

Energy-Source-Aware Cost Optimization for Green Cellular Networks with Strong Stability.
IEEE Trans. Emerg. Top. Comput., 2016

Efficient Privacy-Preserving Outsourcing of Large-Scale Convex Separable Programming for Smart Cities.
Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016

Efficient Secure Outsourcing of Large-scale Quadratic Programs.
Proceedings of the 11th ACM on Asia Conference on Computer and Communications Security, 2016

2014
Optimal Energy Cost for Strongly Stable Multi-hop Green Cellular Networks.
Proceedings of the IEEE 34th International Conference on Distributed Computing Systems, 2014

State estimation for energy theft detection in microgrids.
Proceedings of the 9th International Conference on Communications and Networking in China, 2014


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