| 2026 | KDD | Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-task Learning. | Ziyu Zhao, Yixiao Zhou, Xin Yu, Zhi Zhang, Didi Zhu, Tao Shen, Zexi Li, Jinluan Yang, Xuwu Wang, Jing Su, Kun Kuang, Zhongyu Wei, Fei Wu, Yu Cheng |
| 2025 | ICCV | Decoding Correlation-Induced Misalignment in the Stable Diffusion Workflow for Text-to-Image Generation. | Yunze Tong, Fengda Zhang, Didi Zhu, Jun Xiao, Kun Kuang |
| 2025 | ICLR | Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering. | Ziyu Zhao, Tao Shen, Didi Zhu, Zexi Li, Jing Su, Xuwu Wang, Fei Wu |
| 2025 | ICLR | Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace. | Jinluan Yang, Anke Tang, Didi Zhu, Zhengyu Chen, Li Shen, Fei Wu |
| 2025 | ICLR | REMEDY: Recipe Merging Dynamics in Large Vision-Language Models. | Didi Zhu, Yibing Song, Tao Shen, Ziyu Zhao, Jinluan Yang, Min Zhang, Chao Wu |
| 2025 | ICML | Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning. | Wenke Huang, Jian Liang, Zekun Shi, Didi Zhu, Guancheng Wan, He Li, Bo Du, Dacheng Tao, Mang Ye |
| 2025 | ICML | Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning. | Wenke Huang, Jian Liang, Guancheng Wan, Didi Zhu, He Li, Jiawei Shao, Mang Ye, Bo Du, Dacheng Tao |
| 2025 | ICML | ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think. | Tao Feng, Wei Li, Didi Zhu, Hangjie Yuan, Wendi Zheng, Dan Zhang, Jie Tang |
| 2025 | ICML | ERICT: Enhancing Robustness by Identifying Concept Tokens in Zero-Shot Vision Language Models. | Xinpeng Dong, Min Zhang, Didi Zhu, Ye Jun Jian, Keli Zhang, Aimin Zhou, Fei Wu, Kun Kuang |
| 2025 | KDD | FedGuCci: Making Local Models More Connected in Landscape for Federated Learning. | Zexi Li, Jie Lin, Zhiqi Li, Didi Zhu, Tao Shen, Tao Lin, Chao Wu, Nicholas D. Lane |
| 2024 | ICML | Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models. | Didi Zhu, Zhongyi Sun, Zexi Li, Tao Shen, Ke Yan, Shouhong Ding, Chao Wu, Kun Kuang |
| 2024 | KDD | Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models. | Didi Zhu, Zexi Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Kun Kuang, Chao Wu |
| 2023 | ICCV | Universal Domain Adaptation via Compressive Attention Matching. | Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Kun Kuang, Chao Wu |
| 2023 | KDD | Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization. | Yunze Tong, Junkun Yuan, Min Zhang, Didi Zhu, Keli Zhang, Fei Wu, Kun Kuang |