Active Learning for Domain Adaptation: An Energy-Based Approach. - Binhui Xie; Longhui Yuan; Shuang Li 008; Chi Harold Liu; Xinjing Cheng; Guoren Wang (AAAI, 2022)

Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation. - Binhui Xie; Longhui Yuan; Shuang Li 008; Chi Harold Liu; Xinjing Cheng (CVPR, 2022)

Robust Test-Time Adaptation in Dynamic Scenarios. - Longhui Yuan; Binhui Xie; Shuang Li 008 (CVPR, 2023)

Evolving Standardization for Continual Domain Generalization over Temporal Drift. - Mixue Xie; Shuang Li 008; Longhui Yuan; Chi Harold Liu; Zehui Dai (NeurIPS, 2023)

Generalized Robust Test-Time Adaptation in Continuous Dynamic Scenarios. - Shuang Li 008; Longhui Yuan; Binhui Xie; Tao Yang (CoRR, 2023)

Few Clicks Suffice: Active Test-Time Adaptation for Semantic Segmentation. - Longhui Yuan; Shuang Li 008; Zhuo He; Binhui Xie (CoRR, 2023)

Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation. - Mingjia Li 003; Shuang Li 008; Tongrui Su; Longhui Yuan; Jian Liang 002; Wei Li 111 (NeurIPS, 2024)

Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains. - Zhuo He; Shuang Li 008; Wenze Song; Longhui Yuan; Jian Liang 002; Han Li 005; Kun Gai (CoRR, 2025)