publications
2025
- AAAIProtecting Model Adaptation from Trojans in the Unlabeled DataIn AAAI Conference on Artificial Intelligence (AAAI) , 2025
- CVPRR-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt TuningIn IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2025
- NeurIPSThe Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language ModelsIn NeurIPS Datasets and Benchmarks Track , 2025
- Adapting Vision-Language Models Without Labels: A Comprehensive SurveyarXiv preprint arXiv:2508.05547, 2025
2024
- ICMLRealistic Unsupervised CLIP Fine-tuning with Universal Entropy OptimizationIn International Conference on Machine Learning (ICML), Spotlight , 2024
- IJCVLearning Spatiotemporal Inconsistency via Thumbnail Layout for Face Deepfake DetectionInternational Journal of Computer Vision, 2024
- ICLRA Hard-to-Beat Baseline for Training-free CLIP-based AdaptationIn ICLR , 2024
2023
- ICCVAdaptGuard: Defending Against Universal Attacks for Model AdaptationIn International Conference on Computer Vision (ICCV) , 2023
- NNProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free Domain AdaptationNeural Networks, 2023
- ICCVWSelf-training solutions for the ICCV 2023 GeoNet ChallengearXiv preprint arXiv:2311.16843, 2023
- Unleashing the power of Neural Collapse for Transferability EstimationarXiv preprint arXiv:2310.05754, 2023
- Benchmarking Test-Time Adaptation against Distribution Shifts in Image ClassificationarXiv preprint arXiv:2307.03133, 2023