1. Can We Trust the Unlabeled Target Data? Towards Backdoor Attack and Defense on Model Adaptation
    Lijun Sheng, Jian Liang, Ran He, Zilei Wang, and Tieniu Tan
    arXiv preprint arXiv:2401.06030, 2024
  2. ICML
    Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization
    Jian Liang, Lijun Sheng, Zhengbo Wang, Ran He, and Tieniu Tan
    In Forty-first International Conference on Machine Learning , 2024
  3. IJCV
    Learning Spatiotemporal Inconsistency via Thumbnail Layout for Face Deepfake Detection
    Yuting Xu, Jian Liang, Lijun Sheng, and Xiao-Yu Zhang
    International Journal of Computer Vision, 2024
  4. ICLR
    A hard-to-beat baseline for training-free clip-based adaptation
    Zhengbo Wang, Jian Liang, Lijun Sheng, Ran He, Zilei Wang, and Tieniu Tan
    In ICLR , 2024


  1. ICCV
    Adaptguard: Defending against universal attacks for model adaptation
    Lijun Sheng, Jian Liang, Ran He, Zilei Wang, and Tieniu Tan
    In Proceedings of the IEEE/CVF International Conference on Computer Vision , 2023
  2. NN
    Proxymix: Proxy-based mixup training with label refinery for source-free domain adaptation
    Yuhe Ding, Lijun Sheng, Jian Liang, Aihua Zheng, and Ran He
    Neural Networks, 2023
  3. ICCVW
    Self-training solutions for the ICCV 2023 GeoNet Challenge
    Lijun Sheng, Zhengbo Wang, and Jian Liang
    arXiv preprint arXiv:2311.16843, 2023
  4. Unleashing the power of Neural Collapse for Transferability Estimation
    Yuhe Ding, Bo Jiang, Lijun Sheng, Aihua Zheng, and Jian Liang
    arXiv preprint arXiv:2310.05754, 2023
  5. Benchmarking test-time adaptation against distribution shifts in image classification
    Yongcan Yu, Lijun Sheng, Ran He, and Jian Liang
    arXiv preprint arXiv:2307.03133, 2023