Wei Yu

Data fusion information group (DFIG) model meets AI+ML

E. Blasch, Genshe Chen, Dan Shen, 2022, Defense + Commercial Sensing.

A Taxonomy of Security and Defense Mechanisms in Digital Twins-based Cyber-Physical Systems

Cheng Qian, Wei Yu, Adamu Hussaini, 2022, 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics).

WSCC: A Weight-Similarity-Based Client Clustering Approach for Non-IID Federated Learning

Erik Blasch, Wei Yu, Weixian Liao, 2022, IEEE Internet of Things Journal.

Transformations as Denoising: A Robust Approach to Weaken Adversarial Facial Images

E. Blasch, Wei Yu, Weixian Liao, 2022, 2022 IEEE International Conference on Networking, Architecture and Storage (NAS).

Deep Learning Assist IoT Search Engine for Disaster Damage Assessment

Erik Blasch, Hengshuo Liang, Wei Yu, 2022, Cyber-Physical Systems.

Zero Knowledge Clustering Based Adversarial Mitigation in Heterogeneous Federated Learning

Wei Yu, Weixian Liao, Pu Tian, 2021, IEEE Transactions on Network Science and Engineering.

Towards multi-party targeted model poisoning attacks against federated learning systems

Weixian Liao, Pu Tian, Zheyi Chen, 2021 .

Deep Neural Networks for Spatial-Temporal Cyber-Physical Systems: A Survey

Fan Liang, Wei Yu, Adamu Hussaini, 2023, Future Internet.

Towards asynchronous federated learning based threat detection: A DC-Adam approach

Weixian Liao, Pu Tian, Zheyi Chen, 2021, Comput. Secur..

Performance of GAN-Based Denoising and Restoration Techniques for Adversarial Face Images

Wei Yu, Weixian Liao, Pu Tian, 2023, 2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA).

Survey of Distributed and Decentralized IoT Securities: Approaches Using Deep Learning and Blockchain Technology

Qianlong Wang, Wei Yu, Weixian Liao, 2023, Future Internet.

Resource-Aware Knowledge Distillation for Federated Learning

Xuhui Chen, Guobin Xu, Wei Yu, 2023, IEEE Transactions on Emerging Topics in Computing.

Survey on Multi-Task Learning in Smart Transportation

Wei Yu, Weixian Liao, Xuhui Chen, 2024, IEEE Access.

Reinforcement Learning for Cyber-Physical Systems

Meikang Qiu, Chong Li, Xing-fa Liu, 2019, 2019 IEEE International Conference on Industrial Internet (ICII).