Boosting the generalization ability of Vis-NIR-spectroscopy-based regression models through dimension reduction and transfer learning. - Xiaoli Li 010; Zexi Li 001; Xufeng Yang; Yong He 001 (Comput. Electron. Agric., 2021)

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)

Can we share models if sharing data is not an option? - Zexi Li 001; Feng Mao; Chao Wu 001 (Patterns, 2022)

No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier. - Zexi Li 001; Xinyi Shang; Rui He; Tao Lin; Chao Wu 001 (ICCV, 2023)

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

Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients. - Chenrui Wu 002; Zexi Li 001; Fangxin Wang 001; Chao Wu 001 (ICME, 2023)

Revisiting Weighted Aggregation in Federated Learning with Neural Networks. - Zexi Li 001; Tao Lin; Xinyi Shang; Chao Wu 001 (ICML, 2023)

Edge-cloud Collaborative Learning with Federated and Centralized Features. - Zexi Li 001; Qunwei Li; Yi Zhou; Wenliang Zhong; Guannan Zhang; Chao Wu 001 (SIGIR, 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)

FediOS: Decoupling Orthogonal Subspaces for Personalization in Feature-skew Federated Learning. - Lingzhi Gao; Zexi Li 001; Yang Lu 009; Chao Wu 001 (CoRR, 2023)

Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers. - Ruiyuan Zhang; Jiaxiang Liu; Zexi Li 001; Hao Dong 003; Jie Fu 001; Chao Wu 001 (AAAI, 2024)

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)

Training-time Neuron Alignment through Permutation Subspace for Improving Linear Mode Connectivity and Model Fusion. - Zexi Li 001; Zhiqi Li 004; Jie Lin; Tao Shen 002; Tao Lin; Chao Wu 001 (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)

Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization. - Zexi Li 001; Lingzhi Gao; 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)

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)

You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data. - Shanshan Yan; Zexi Li 001; Chao Wu 001; Meng Pang; Yang Lu 009; Yan Yan; Hanzi Wang (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)