Tan, Zhaorui

9 publications

WACV 2025 Covariance-Based Space Regularization for Few-Shot Class Incremental Learning Yijie Hu, Guanyu Yang, Zhaorui Tan, Xiaowei Wang, Kaizhu Huang, Qiu-Feng Wang

AAAI 2025 Disentangling Tabular Data Towards Better One-Class Anomaly Detection Jianan Ye, Zhaorui Tan, Yijie Hu, Xi Yang, Guangliang Cheng, Kaizhu Huang

NeurIPS 2025 Minimal Semantic Sufficiency Meets Unsupervised Domain Generalization Tan Pan, Kaiyu Guo, Dongli Xu, Zhaorui Tan, Chen Jiang, Deshu Chen, Xin Guo, Brian C. Lovell, Limei Han, Yuan Cheng, Mahsa Baktashmotlagh

AAAI 2025 ScaleOT: Privacy-Utility-Scalable Offsite-Tuning with Dynamic LayerReplace and Selective Rank Compression Kai Yao, Zhaorui Tan, Tiandi Ye, Lichun Li, Yuan Zhao, Wenyan Liu, Wei Wang, Jianke Zhu

ICCV 2025 Structure-Aware Semantic Discrepancy and Consistency for 3D Medical Image Self-Supervised Learning Tan Pan, Zhaorui Tan, Kaiyu Guo, Dongli Xu, Weidi Xu, Chen Jiang, Xin Guo, Yuan Qi, Yuan Cheng

ICCV 2025 Towards a Universal 3D Medical Multi-Modality Generalization via Learning Personalized Invariant Representation Zhaorui Tan, Xi Yang, Tan Pan, Tianyi Liu, Chen Jiang, Xin Guo, Qiufeng Wang, Anh Nguyen, Yuan Qi, Kaizhu Huang, Yuan Cheng

NeurIPS 2024 Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification Zhaorui Tan, Xi Yang, Qiufeng Wang, Anh Nguyen, Kaizhu Huang

CVPR 2024 Rethinking Multi-Domain Generalization with a General Learning Objective Zhaorui Tan, Xi Yang, Kaizhu Huang

AAAI 2024 Semantic-Aware Data Augmentation for Text-to-Image Synthesis Zhaorui Tan, Xi Yang, Kaizhu Huang