2025:

• (CCF-A) Zhiwei Ling, Yachen Chang, Hailiang Zhao, Xinkui Zhao, Kingsum Chow, and Shuiguang Deng. CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [Code]

2024:

• (CCF-A) Jun Xia, Zhihao Yue, Yingbo Zhou, Zhiwei Ling, Yiyu Shi, Xian Wei, Mingsong Chen. WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks. In Conference on Neural Information Processing Systems (NeurIPS), 2024.

• (CCF-A) Ming Hu, Peiheng Zhou, Zhihao Yue, Zhiwei Ling, Yihao Huang, Anran Li, Yang Liu, Xiang Lian, Mingsong Chen. FedCross: Towards accurate federated learning via multi-model cross-aggregation. In IEEE International Conference on Data Engineering (ICDE), 2024.

2023:

• (CCF-C) Zhiwei Ling, Zhihao Yue, Jun Xia, Ting Wang, Mingsong Chen, and Xiang Lian. FedEntropy: Efficient Federated Learning for Non-IID Scenarios Using Maximum Entropy Judgment-based Client Selection. In International Symposium on Parallel and Distributed Processing with Applications (ISPA), 2023. [Code]

• Yutong Ye, Zhiwei Ling, Yaning Yang, Xian Wei, Chen Cheng, Su Chen, Mingsong Chen. Brief Industry Paper: RTLight: Digital Twin-Based Real-Time Federated Traffic Signal Control. In IEEE Real-Time Systems Symposium (RTSS Industry Track), 2023.

• (CCF-A) Zhihao Yue, Jun Xia, Zhiwei Ling, Ming Hu, Ting Wang, Xian Wei, Mingsong Chen. Model-contrastive learning for backdoor elimination. In ACM International Conference on Multimedia (MM), 2023.

• (JCR-Q1) Tian Liu, Jun Xia, Zhiwei Ling, Xin Fu, Shui Yu, Mingsong Chen. Efficient federated learning for AIoT applications using knowledge distillation. IEEE Internet of Things Journal (IOT).

• (CCF-A) Jun Xia, Tian Liu, Zhiwei Ling, Ting Wang, Xin Fu, Mingsong Chen. PervasiveFL: Pervasive federated learning for heterogeneous IoT systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).