publications

2025

  1. AAAI
    Protecting Model Adaptation from Trojans in the Unlabeled Data
    Lijun Sheng, Jian Liang, Ran He, Zilei Wang, and Tieniu Tan
    In AAAI Conference on Artificial Intelligence (AAAI) , 2025
  2. CVPR
    R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning
    Lijun Sheng, Jian Liang, Zilei Wang, and Ran He
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2025
  3. NeurIPS
    The Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language Models
    Lijun Sheng, Jian Liang, Ran He, Zilei Wang, and Tieniu Tan
    In NeurIPS Datasets and Benchmarks Track , 2025
  4. Adapting Vision-Language Models Without Labels: A Comprehensive Survey
    Hao Dong, Lijun Sheng, Jian Liang, Ran He, Eleni Chatzi, and Olga Fink
    arXiv preprint arXiv:2508.05547, 2025

2024

  1. ICML
    Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization
    Jian Liang, Lijun Sheng, Zhengbo Wang, Ran He, and Tieniu Tan
    In International Conference on Machine Learning (ICML), Spotlight , 2024
  2. 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
  3. 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

2023

  1. ICCV
    AdaptGuard: Defending Against Universal Attacks for Model Adaptation
    Lijun Sheng, Jian Liang, Ran He, Zilei Wang, and Tieniu Tan
    In International Conference on Computer Vision (ICCV) , 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