Preprint Little By Little: Continual Learning via Self-Activated Sparse Mixture-of-Rank Adaptive Learning Haodong Lu, Chongyang Zhao, Jason Xue, Lina Yao, Kristen Moore, Dong Gong Preprint. Under Review ARXIV Preprint Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA Haodong Lu, Chongyang Zhao, Jason Xue, Lina Yao, Kristen Moore, Dong Gong Preprint. Under Review ARXIV Github ICLR Learning with Mixture of Prototypes for Out-of-Distribution Detection Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao, Kristen Moore In the 12th International Conference on Learning Representations (ICLR), 2024. ICLR Github CVPR Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning Huiyi Wang, Haodong Lu, Lina Yao, Dong Gong Computer Vision and Pattern Recognition Conference (CVPR), 2025 CVPR Github TMLR Continual Learning on CLIP via Incremental Prompt Tuning with Intrinsic Textual Anchor Haodong Lu, Xinyu Zhang, Kristen Moore, Jason Xue, Lina Yao, Anton van den Hengel, Dong Gong Transactions on Machine Learning Research (TMLR), 2025 TMLR Github NeurIPS Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning Rui Tong, Haodong Lu, Yuxuan Liu, Dong Gong Advances in Neural Information Processing Systems (NeurIPS), 2025 NeurIPS Github WWW Balancing Plasticity and Stability via Dual-Branch Learning in Online Continual Learning Xu Han, Haodong Lu, Huiyi Wang, Dong Gong The ACM Web Conference (WWW) - short paper track, 2025 WWW Github