I am currently a PhD student in the School of Software Technology, Zhejiang University (ZJU), advised by Prof. Hailiang Zhao.

Prior to this, I obtained both my MS and BS degrees at East China Normal University (ECNU), under the supervision of Prof. Mingsong Chen.

My current research primarily focuses on the following areas:

• Out-of-Distribution Detection
  • DNN-based and VLM-based methods
  • Multiple data modalities, including images, text, audio, and graph
• Federated Learning
  • Data, device and model heterogeneity
  • Model security
• Trustworthy Intelligent System
  • Backdoor defense
  • Annomaly detection
  • Machine unlearning

If you are interested with my research, feel free to contact me by email: zwling@zju.edu.cn.

📝 Publications

• (CCF-A) Zhiwei Ling, Yachen Chang, Hailiang Zhao, Xinkui Zhao, Kingsum Chow, Shuiguang Deng, CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, USA, June 11-15, 2025. (Acceptance Rate: 22.1%)

• (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. Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, December 10-15, 2024. (Acceptance Rate: 25.8%)

• (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. IEEE International Conference on Data Engineering (ICDE), Utrecht, The Netherlands, May 13-16, 2024. (Acceptance Rate: 25.4%)

• (CCF-C) Zhiwei Ling, Zhihao Yue, Jun Xia, Ting Wang, Mingsong Chen, Xiang Lian, FedEntropy: Efficient Federated Learning for Non-IID Scenarios Using Maximum Entropy Judgment-based Client Selection. International Symposium on Parallel and Distributed Processing with Applications (ISPA), Wuhan, China, December 21-24, 2023. (Acceptance Rate: 19.6%)

• (CCF-A) 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. IEEE Real-Time Systems Symposium (RTSS), Taipei, China, December 5-8, 2023. (Acceptance Rate: 28.0%)

• (CCF-A) Zhihao Yue, Jun Xia, Zhiwei Ling, Ming Hu, Ting Wang, Xian Wei, Mingsong Chen, Model-contrastive learning for backdoor elimination. ACM International Conference on Multimedia (MM), Ottawa, Canada, October 29-November 3, 2023. (Acceptance Rate: 29.3%)

• (CCF-C) 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 (IoTJ), 2023. (IF=8.2)

• (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), 2022. (IF=2.9)

🎖 Honors and Awards

✍️ Academic Service

📖 Educations

• 2024.09 - (now), Ph.D at Zhejiang University (ZJU), Hangzhou, China.
• 2021.09 - 2024.06, M.S at East China Normal University (ECNU), Shanghai, China.
• 2017.09 - 2021.06, B.S at East China Normal University (ECNU), Shanghai, China.