Ensemble Federated Adversarial Training with Non-IID data. - Shuang Luo; Didi Zhu; Zexi Li 001; Chao Wu 001 (CoRR, 2021)

Mining Latent Relationships among Clients: Peer-to-peer Federated Learning with Adaptive Neighbor Matching. - Zexi Li 001; Jiaxun Lu; Shuang Luo; Didi Zhu; Yunfeng Shao 001; Yinchuan Li; Zhimeng Zhang; Chao Wu 001 (CoRR, 2022)

Universal Domain Adaptation via Compressive Attention Matching. - Didi Zhu; Yinchuan Li; Junkun Yuan; Zexi Li 001; Kun Kuang; Chao Wu 001 (ICCV, 2023)

Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization. - Yunze Tong; Junkun Yuan; Min Zhang 005; Didi Zhu; Keli Zhang; Fei Wu 001; Kun Kuang (KDD, 2023)

Generalized Universal Domain Adaptation with Generative Flow Networks. - Didi Zhu; Yinchuan Li; Yunfeng Shao 001; Jianye Hao; Fei Wu 001; Kun Kuang; Jun Xiao 001; Chao Wu 001 (ACM Multimedia, 2023)

Universal Domain Adaptation via Compressive Attention Matching. - Didi Zhu; Yinchuan Li; Junkun Yuan; Zexi Li 001; Yunfeng Shao 001; Kun Kuang; Chao Wu 001 (CoRR, 2023)

Bridging the Gap: Neural Collapse Inspired Prompt Tuning for Generalization under Class Imbalance. - Didi Zhu; Yinchuan Li; Min Zhang 005; Junkun Yuan; Jiashuo Liu; Zexi Li 001; Kun Kuang; Chao Wu 001 (CoRR, 2023)

Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models. - Didi Zhu; Zhongyi Sun 002; Zexi Li 001; Tao Shen 002; Ke Yan; Shouhong Ding; Chao Wu 001; Kun Kuang (ICML, 2024)

Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models. - Didi Zhu; Zexi Li 001; Min Zhang 005; Junkun Yuan; Jiashuo Liu; Kun Kuang; Chao Wu 001 (KDD, 2024)

RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner. - Ying Zang; Chenglong Fu 003; Runlong Cao; Didi Zhu; Min Zhang; Wenjun Hu; Lanyun Zhu; Tianrun Chen (CoRR, 2024)

Improving Group Connectivity for Generalization of Federated Deep Learning. - Zexi Li 001; Jie Lin; Zhiqi Li 004; Didi Zhu; Chao Wu 001 (CoRR, 2024)

Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering. - Ziyu Zhao 001; Tao Shen 002; Didi Zhu; Zexi Li 001; Jing Su; Xuwu Wang; Kun Kuang; Fei Wu 001 (CoRR, 2024)

Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace. - Jinluan Yang; Anke Tang; Didi Zhu; Zhengyu Chen 001; Li Shen 008; Fei Wu 001 (CoRR, 2024)

Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning. - Wenke Huang; Jian Liang 001; Zekun Shi; Didi Zhu; Guancheng Wan; He Li; Bo Du 001; Dacheng Tao; Mang Ye (CoRR, 2024)

Towards Effective Clustered Federated Learning: A Peer-to-Peer Framework With Adaptive Neighbor Matching. - Zexi Li 001; Jiaxun Lu; Shuang Luo; Didi Zhu; Yunfeng Shao 001; Yinchuan Li; Zhimeng Zhang; Yongheng Wang; Chao Wu 001 (IEEE Trans. Big Data, 2024)

Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering. - Ziyu Zhao 001; Tao Shen 002; Didi Zhu; Zexi Li 001; Jing Su; Xuwu Wang; Fei Wu 001 (ICLR, 2025)

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 (ICLR, 2025)

REMEDY: Recipe Merging Dynamics in Large Vision-Language Models. - Didi Zhu; Yibing Song; Tao Shen 002; Ziyu Zhao 001; Jinluan Yang; Min Zhang 005; Chao Wu 001 (ICLR, 2025)

ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think. - Tao Feng 014; Wei Li; Didi Zhu; Hangjie Yuan; Wendi Zheng; Dan Zhang; Jie Tang 001 (CoRR, 2025)

Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning. - Ziyu Zhao 001; Yixiao Zhou; Didi Zhu; Tao Shen 002; Xuwu Wang; Jing Su; Kun Kuang; Zhongyu Wei; Fei Wu 001; Yu Cheng (CoRR, 2025)

Let Human Sketches Help: Empowering Challenging Image Segmentation Task with Freehand Sketches. - Ying Zang; Runlong Cao; Jianqi Zhang; Yidong Han; Ziyue Cao; Wenjun Hu; Didi Zhu; Lanyun Zhu; Zejian Li; Deyi Ji; Tianrun Chen (CoRR, 2025)

Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging. - Jinluan Yang; Dingnan Jin; Anke Tang; Li Shen 008; Didi Zhu; Zhengyu Chen 001; Daixin Wang; Qing Cui; Zhiqiang Zhang 012; Jun Zhou 011; Fei Wu 001; Kun Kuang (CoRR, 2025)

Generative Artificial Intelligence in Robotic Manipulation: A Survey. - Kun Zhang 017; Peng Yun; Jun Cen; Junhao Cai; Didi Zhu; Hangjie Yuan; Chao Zhao 004; Tao Feng; Michael Yu Wang; Qifeng Chen; Jia Pan 001; Wei Zhang 013; et al. (CoRR, 2025)

Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model. - Wenke Huang; Jian Liang 001; Xianda Guo; Yiyang Fang; Guancheng Wan; Xuankun Rong; Chi Wen; Zekun Shi; Qingyun Li; Didi Zhu; Yanbiao Ma; Ke Liang; et al. (CoRR, 2025)

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices. - Tao Shen 002; Didi Zhu; Ziyu Zhao 001; Chao Wu 001; Fei Wu 001 (CoRR, 2025)

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning. - Tao Shen 002; Zexi Li 001; Didi Zhu; Ziyu Zhao 001; Chao Wu 001; Fei Wu 001 (CoRR, 2025)