Zexi Li
Orcid: 0000-0003-0831-3549Affiliations:
- Zhejiang University, College of Computer Science and Technology, Hangzhou, China
According to our database1,
Zexi Li
authored at least 20 papers
between 2021 and 2024.
Collaborative distances:
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
On csauthors.net:
Bibliography
2024
Towards Effective Clustered Federated Learning: A Peer-to-Peer Framework With Adaptive Neighbor Matching.
IEEE Trans. Big Data, December, 2024
Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering.
CoRR, 2024
Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization.
CoRR, 2024
CoRR, 2024
Training-time Neuron Alignment through Permutation Subspace for Improving Linear Mode Connectivity and Model Fusion.
CoRR, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
FediOS: Decoupling Orthogonal Subspaces for Personalization in Feature-skew Federated Learning.
CoRR, 2023
Bridging the Gap: Neural Collapse Inspired Prompt Tuning for Generalization under Class Imbalance.
CoRR, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Mining Latent Relationships among Clients: Peer-to-peer Federated Learning with Adaptive Neighbor Matching.
CoRR, 2022
2021
Boosting the generalization ability of Vis-NIR-spectroscopy-based regression models through dimension reduction and transfer learning.
Comput. Electron. Agric., 2021