Zhiwei Ling

According to our database, Zhiwei Ling authored at least 15 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging.

Zhiwei Ling, Yachen Chang, Hailiang Zhao, Xinkui Zhao, Kingsum Chow, Shuiguang Deng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks.

Jun Xia, Zhihao Yue, Yingbo Zhou, Zhiwei Ling, Yiyu Shi, Xian Wei, Mingsong Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation.

Ming Hu, Peiheng Zhou, Zhihao Yue, Zhiwei Ling, Yihao Huang, Anran Li, Yang Liu, Xiang Lian, Mingsong Chen

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Efficient Federated Learning for AIoT Applications Using Knowledge Distillation.

Tian Liu, Jun Xia, Zhiwei Ling, Xin Fu, Shui Yu, Mingsong Chen

IEEE Internet Things J., 2023

WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks.

Jun Xia, Zhihao Yue, Yingbo Zhou, Zhiwei Ling, Xian Wei, Mingsong Chen

CoRR, 2023

FedMR: Federated Learning via Model Recombination.

Ming Hu, Zhihao Yue, Zhiwei Ling, Yihao Huang, Cheng Chen, Xian Wei, Yang Liu, Mingsong Chen

CoRR, 2023

Brief Industry Paper: RTLight: Digital Twin-Based Real-Time Federated Traffic Signal Control.

Yutong Ye, Zhiwei Ling, Yaning Yang, Xian Wei, Cheng Chen, Su Chen, Mingsong Chen

Proceedings of the IEEE Real-Time Systems Symposium, 2023

Model-Contrastive Learning for Backdoor Elimination.

Zhihao Yue, Jun Xia, Zhiwei Ling, Ming Hu, Ting Wang, Xian Wei, Mingsong Chen

Proceedings of the 31st ACM International Conference on Multimedia, 2023

FedEntropy: Efficient Federated Learning for Non-IID Scenarios Using Maximum Entropy Judgment-based Client Selection.

Zhiwei Ling, Zhihao Yue, Jun Xia, Ting Wang, Mingsong Chen, Xiang Lian

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

2022

PervasiveFL: Pervasive Federated Learning for Heterogeneous IoT Systems.

Jun Xia, Tian Liu, Zhiwei Ling, Ting Wang, Xin Fu, Mingsong Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

FedCross: Towards Accurate Federated Learning via Multi-Model Cross Aggregation.

Ming Hu, Peiheng Zhou, Zhihao Yue, Zhiwei Ling, Yihao Huang, Yang Liu, Mingsong Chen

CoRR, 2022

FedMR: Fedreated Learning via Model Recombination.

Ming Hu, Zhihao Yue, Zhiwei Ling, Xian Wei, Mingsong Chen

CoRR, 2022

FedEntropy: Efficient Device Grouping for Federated Learning Using Maximum Entropy Judgment.

Zhiwei Ling, Zhihao Yue, Jun Xia, Ming Hu, Ting Wang, Mingsong Chen

CoRR, 2022

Model-Contrastive Learning for Backdoor Defense.

Zhihao Yue, Jun Xia, Zhiwei Ling, Ming Hu, Ting Wang, Xian Wei, Mingsong Chen

CoRR, 2022

FedCAT: Towards Accurate Federated Learning via Device Concatenation.

Ming Hu, Tian Liu, Zhiwei Ling, Zhihao Yue, Mingsong Chen

CoRR, 2022