Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering. - Yongyi Su; Xun Xu 002; Kui Jia (NeurIPS, 2022)

On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion. - Yushu Li; Xun Xu 002; Yongyi Su; Kui Jia (ICCV, 2023)

STFAR: Improving Object Detection Robustness at Test-Time by Self-Training with Feature Alignment Regularization. - Yijin Chen; Xun Xu 002; Yongyi Su; Kui Jia (CoRR, 2023)

Weakly Supervised 3D Point Cloud Segmentation via Multi-Prototype Learning. - Yongyi Su; Xun Xu 002; Kui Jia (IEEE Trans. Circuits Syst. Video Technol., 2023)

Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization. - Yongyi Su; Xun Xu 002; Kui Jia (AAAI, 2024)

Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation. - Haojie Zhang; Yongyi Su; Xun Xu 002; Kui Jia (CVPR, 2024)

Clip-Guided Source-Free Object Detection in Aerial Images. - Nanqing Liu; Xun Xu 002; Yongyi Su; Chengxin Liu; Peiliang Gong; Heng-Chao Li 001 (IGARSS, 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 002 (Trans. Mach. Learn. Res., 2024)

Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training. - Yongyi Su; Xun Xu 002; Tianrui Li 001; Kui Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

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 002 (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 002 (ICLR, 2025)

Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation. - Peiliang Gong; Mohamed Ragab 002; Min Wu 008; Zhenghua Chen; Yongyi Su; Xiaoli Li 001; Daoqiang Zhang (KDD (1), 2025)

Bidirectional Segmentation-Aware Network for One-Shot Object Detection. - Wenwen Zhang; Zhenghua Chen; Yongyi Su; Zhiyu Xiang; Hangguan Shan; Eryun Liu (Neurocomputing, 2025)

Mitigating Missing Feature Channels at Inference Stage: Test-Time Adaptation Through Self-Training With Data Imputation. - Yan Huang; Yongyi Su; Xulei Yang; Xin Lin; Xun Xu 002 (IEEE Signal Process. Lett., 2025)

PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images. - Nanqing Liu; Xun Xu 002; Yongyi Su; Haojie Zhang; Heng-Chao Li 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Robust Distribution Alignment for Industrial Anomaly Detection under Distribution Shift. - Jingyi Liao; Xun Xu 002; Yongyi Su; Rong-Cheng Tu; Yifan Liu; Dacheng Tao; Xulei Yang (CoRR, 2025)

SODA: Out-of-Distribution Detection in Domain-Shifted Point Clouds via Neighborhood Propagation. - Adam Goodge; Xun Xu 002; Bryan Hooi; Wee Siong Ng; Jingyi Liao; Yongyi Su; Xulei Yang (CoRR, 2025)

AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization. - Jingyi Liao; Yongyi Su; Rong-Cheng Tu; Zhao Jin; Wenhao Sun; Yiting Li; Dacheng Tao; Xun Xu 002; Xulei Yang (CoRR, 2025)