Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters. - Jiazuo Yu 001; Yunzhi Zhuge; Lu Zhang 053; Ping Hu 001; Dong Wang 004; Huchuan Lu; You He 002 (CVPR, 2024)

LLMs Can Evolve Continually on Modality for X-Modal Reasoning. - Jiazuo Yu 001; Haomiao Xiong; Lu Zhang 053; Haiwen Diao; Yunzhi Zhuge; Lanqing Hong; Dong Wang 004; Huchuan Lu; You He 002; Long Chen 016 (NeurIPS, 2024)

Streaming Video Understanding and Multi-round Interaction with Memory-enhanced Knowledge. - Haomiao Xiong; Zongxin Yang; Jiazuo Yu 001; Yunzhi Zhuge; Lu Zhang 053; Jiawen Zhu 003; Huchuan Lu (ICLR, 2025)

Regularizing Subspace Redundancy of Low-Rank Adaptation. - Yue Zhu 012; Haiwen Diao; Shang Gao 012; Jiazuo Yu 001; Jiawen Zhu 003; Yunzhi Zhuge; Shuai Hao 007; Xu Jia 012; Lu Zhang 053; Ying Zhang 021; Huchuan Lu (ACM Multimedia, 2025)

FineRS: Fine-grained Reasoning and Segmentation of Small Objects with Reinforcement Learning. - Lu Zhang 053; Jiazuo Yu 001; Haomiao Xiong; Ping Hu 001; Yunzhi Zhuge; Huchuan Lu; You He 002 (CoRR, 2025)

MoE-Adapters++: Toward More Efficient Continual Learning of Vision-Language Models Via Dynamic Mixture-of-Experts Adapters. - Jiazuo Yu 001; Zichen Huang; Yunzhi Zhuge; Lu Zhang 053; Ping Hu 001; Dong Wang 004; Huchuan Lu; You He 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)