Refereed Papers (Selected)

    (Note: "†" marks the corresponding authors.)
  • Faithful Vision-Language Interpretation via Concept Bottleneck Models [pdf]
    Songning Lai, Lijie Hu, Junxiao Wang, Laure Berti-Equille, Di Wang
    International Conference on Learning Representations (ICLR) 2024

  • Towards Test-Time Refusals via Concept Negation [pdf]
    Peiran Dong, Song Guo, Junxiao Wang†, Bingjie Wang, Jiewei Zhang, Ziming Liu
    The Annual Conference on Neural Information Processing Systems (NeurIPS) 2023

  • PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models — Federated Learning in Age of Foundation Model [pdf]
    Tao Guo, Song Guo, Junxiao Wang†, Xueyang Tang, Wenchao Xu
    IEEE Transactions on Mobile Computing (TMC) 2023

  • Investigating Trojan Attacks on Pre-trained Language Model-powered Database Middleware [pdf]
    Peiran Dong, Song Guo, Junxiao Wang†
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2023

  • PMR: Prototypical Modal Rebalance for Multimodal Learning [pdf]
    Yunfeng Fan, Wenchao Xu, Haozhao Wang, Junxiao Wang, Song Guo
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023

  • pFedPrompt: Learning Personalized Prompt for Vision-Language Models in Federated Learning [pdf]
    Tao Guo, Song Guo, Junxiao Wang†
    The ACM Web Conference (WWW) 2023

  • Federated Unlearning: Guarantee the Right of Clients to Forget [pdf]
    Leijie Wu, Song Guo, Junxiao Wang†, Zicong Hong, Jie Zhang, Yaohong Ding
    IEEE Network 2022

  • Efficient Integrity Authentication Scheme for Large-scale RFID Systems [pdf]
    Xin Xie, Xiulong Liu, Junxiao Wang, Song Guo, Heng Qi, Keqiu Li
    IEEE Transactions on Mobile Computing (TMC) 2022

  • A Survey on Gradient Inversion: Attacks, Defenses and Future Directions [pdf]
    Rui Zhang, Song Guo, Junxiao Wang†, Xin Xie, Dacheng Tao
    International Joint Conference on Artificial Intelligence (IJCAI) 2022

  • Federated Unlearning via Class-Discriminative Pruning [pdf]
    Junxiao Wang, Song Guo, Xin Xie, Heng Qi
    The ACM Web Conference (WWW) 2022

  • Protect Privacy from Gradient Leakage Attack in Federated Learning [pdf]
    Junxiao Wang, Song Guo, Xin Xie, Heng Qi
    IEEE International Conference on Computer Communications (INFOCOM) 2022

  • Click-UP: Toward the Software Upgrade of Click-Based Modular Network Function [pdf]
    Junxiao Wang, Heng Qi, Keqiu Li, Steve Uhlig
    IEEE Systems Journal (ISJ) 2020

  • CLICK-UP: Towards Software Upgrades of Click-driven Stateful Network Elements [pdf]
    Junxiao Wang, Yuchen Huang, Heng Qi, Keqiu Li, Steve Uhlig
    ACM SIGCOMM Conference 2018 (Demo)

  • Manuscripts

  • On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions [pdf]
    Leijie Wu, Song Guo, Junxiao Wang, Zicong Hong, Jie Zhang, Jingren Zhou
    arXiv:2306.01431, 2023

  • DualMix: Unleashing the Potential of Data Augmentation for Online Class-Incremental Learning [pdf]
    Yunfeng Fan, Wenchao Xu, Haozhao Wang, Jiaqi Zhu, Junxiao Wang, Song Guo
    arXiv:2303.07864, 2023

  • Demystify Self-Attention in Vision Transformers from a Semantic Perspective: Analysis and Application [pdf]
    Leijie Wu, Song Guo, Yaohong Ding, Junxiao Wang, Wenchao Xu, Richard Yida Xu, Jie Zhang
    arXiv:2211.08543, 2022

  • FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers [pdf]
    Jinyu Chen, Wenchao Xu, Song Guo, Junxiao Wang, Jie Zhang, Haozhao Wang
    arXiv:2211.08025, 2022

  • Vertical Machine Unlearning: Selectively Removing Sensitive Information From Latent Feature Space [pdf]
    Tao Guo, Song Guo, Jiewei Zhang, Wenchao Xu, Junxiao Wang
    arXiv:2202.13295, 2022