Lu, Haodong

5 publications

TMLR 2025 Continual Learning on CLIP via Incremental Prompt Tuning with Intrinsic Textual Anchors Haodong Lu, Xinyu Zhang, Kristen Moore, Jason Xue, Lina Yao, Anton van den Hengel, Dong Gong

NeurIPS 2025 Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning Ruilin Tong, Haodong Lu, Yuhang Liu, Dong Gong

CVPR 2025 Self-Expansion of Pre-Trained Models with Mixture of Adapters for Continual Learning Huiyi Wang, Haodong Lu, Lina Yao, Dong Gong

ICLR 2024 Learning with Mixture of Prototypes for Out-of-Distribution Detection Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao, Kristen Moore

NeurIPSW 2024 Self-Expansion of Pre-Trained Models with Mixture of Adapters for Continual Learning Huiyi Wang, Haodong Lu, Lina Yao, Dong Gong