| 2026 | EACL | GAST: Gradient-aligned Sparse Tuning of Large Language Models with Data-layer Selection. | Kai Yao, Zhenghan Song, Kaixin Wu, Mingjie Zhong, Danzhao Cheng, Zhaorui Tan, Yixin Ji, Penglei Gao |
| 2025 | AAAI | 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 |
| 2025 | AAAI | Disentangling Tabular Data Towards Better One-Class Anomaly Detection. | Jianan Ye, Zhaorui Tan, Yijie Hu, Xi Yang, Guangliang Cheng, Kaizhu Huang |
| 2025 | ACL | GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models. | Kai Yao, Zhaorui Tan, Penglei Gao, Lichun Li, Kaixin Wu, Yinggui Wang, Yuan Zhao, Yixin Ji, Jianke Zhu, Wei Wang |
| 2025 | ICCV | 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 |
| 2025 | ICCV | 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 |
| 2025 | WACV | Covariance-Based Space Regularization for Few-Shot Class Incremental Learning. | Yijie Hu, Guanyu Yang, Zhaorui Tan, Xiaowei Huang, Kaizhu Huang, Qiufeng Wang |
| 2024 | AAAI | Semantic-Aware Data Augmentation for Text-to-Image Synthesis. | Zhaorui Tan, Xi Yang, Kaizhu Huang |
| 2024 | CVPR | Rethinking Multi-Domain Generalization with A General Learning Objective. | Zhaorui Tan, Xi Yang, Kaizhu Huang |
| 2023 | ICONIP | PAG: Protecting Artworks from Personalizing Image Generative Models. | Zhaorui Tan, Siyuan Wang, Xi Yang, Kaizhu Huang |