Su, Yongyi

8 publications

ICLR 2025 Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model Yushu Li, Yongyi Su, Adam Goodge, Kui Jia, Xun Xu

ICLR 2025 On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning Yongyi Su, Yushu Li, Nanqing Liu, Kui Jia, Xulei Yang, Chuan-Sheng Foo, Xun Xu

ECML-PKDD 2025 SODA: Out-of-Distribution Detection in Domain-Shifted Point Clouds via Neighborhood Propagation Adam Goodge, Bryan Hooi, Jingyi Liao, Yongyi Su, Wee Siong Ng, Xun Xu, Xulei Yang

TMLR 2024 Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model Selection Yushu Li, Yongyi Su, Xulei Yang, Kui Jia, Xun Xu

CVPR 2024 Improving the Generalization of Segmentation Foundation Model Under Distribution Shift via Weakly Supervised Adaptation Haojie Zhang, Yongyi Su, Xun Xu, Kui Jia

AAAI 2024 Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization Yongyi Su, Xun Xu, Kui Jia

ICCV 2023 On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion Yushu Li, Xun Xu, Yongyi Su, Kui Jia

NeurIPS 2022 Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Yongyi Su, Xun Xu, Kui Jia