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Zexi Li 0001
Person information
- affiliation: Zhejiang University, College of Computer Science and Technology, Hangzhou, China
Other persons with the same name
- Zexi Li — disambiguation page
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2020 – today
- 2024
- [j3]Zexi Li
, Jiaxun Lu
Towards Effective Clustered Federated Learning: A Peer-to-Peer Framework With Adaptive Neighbor Matching. IEEE Trans. Big Data 10(6): 812-826 (2024) - [c8]Ruiyuan Zhang, Jiaxiang Liu, Zexi Li, Hao Dong, Jie Fu, Chao Wu:
Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers. AAAI 2024: 7269-7277 - [c7]Didi Zhu, Zhongyi Sun, Zexi Li, Tao Shen, Ke Yan, Shouhong Ding, Chao Wu, Kun Kuang:
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models. ICML 2024 - [c6]Didi Zhu
Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models. KDD 2024: 4631-4640 - [i15]Zexi Li, Zhiqi Li, Jie Lin, Tao Shen, Tao Lin, Chao Wu:
Training-time Neuron Alignment through Permutation Subspace for Improving Linear Mode Connectivity and Model Fusion. CoRR abs/2402.01342 (2024) - [i14]Didi Zhu, Zhongyi Sun, Zexi Li, Tao Shen, Ke Yan, Shouhong Ding, Kun Kuang, Chao Wu:
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models. CoRR abs/2402.12048 (2024) - [i13]Zexi Li, Jie Lin, Zhiqi Li, Didi Zhu, Chao Wu:
Improving Group Connectivity for Generalization of Federated Deep Learning. CoRR abs/2402.18949 (2024) - [i12]Zexi Li, Lingzhi Gao, Chao Wu:
Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization. CoRR abs/2405.14132 (2024) - [i11]Ziyu Zhao, Tao Shen, Didi Zhu, Zexi Li, Jing Su, Xuwu Wang, Kun Kuang, Fei Wu:
Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering. CoRR abs/2409.16167 (2024) - 2023
- [c5]Zexi Li, Xinyi Shang, Rui He, Tao Lin, Chao Wu:
No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier. ICCV 2023: 5296-5306 - [c4]Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Kun Kuang, Chao Wu:
Universal Domain Adaptation via Compressive Attention Matching. ICCV 2023: 6951-6962 - [c3]Chenrui Wu, Zexi Li, Fangxin Wang, Chao Wu:
Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients. ICME 2023: 660-665 - [c2]Zexi Li, Tao Lin, Xinyi Shang, Chao Wu:
Revisiting Weighted Aggregation in Federated Learning with Neural Networks. ICML 2023: 19767-19788 - [c1]Zexi Li
Edge-cloud Collaborative Learning with Federated and Centralized Features. SIGIR 2023: 1949-1953 - [i10]Zexi Li, Tao Lin, Xinyi Shang, Chao Wu:
Revisiting Weighted Aggregation in Federated Learning with Neural Networks. CoRR abs/2302.10911 (2023) - [i9]Zexi Li, Xinyi Shang, Rui He, Tao Lin, Chao Wu:
No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier. CoRR abs/2303.10058 (2023) - [i8]Chenrui Wu, Zexi Li, Fangxin Wang, Chao Wu:
Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients. CoRR abs/2304.02892 (2023) - [i7]Zexi Li, Qunwei Li, Yi Zhou, Wenliang Zhong, Guannan Zhang, Chao Wu:
Edge-cloud Collaborative Learning with Federated and Centralized Features. CoRR abs/2304.05871 (2023) - [i6]Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Yunfeng Shao, Kun Kuang, Chao Wu:
Universal Domain Adaptation via Compressive Attention Matching. CoRR abs/2304.11862 (2023) - [i5]Didi Zhu, Yinchuan Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Zexi Li, Kun Kuang, Chao Wu:
Bridging the Gap: Neural Collapse Inspired Prompt Tuning for Generalization under Class Imbalance. CoRR abs/2306.15955 (2023) - [i4]Lingzhi Gao, Zexi Li, Yang Lu, Chao Wu:
FediOS: Decoupling Orthogonal Subspaces for Personalization in Feature-skew Federated Learning. CoRR abs/2311.18559 (2023) - [i3]Ruiyuan Zhang, Jiaxiang Liu, Zexi Li, Hao Dong, Jie Fu, Chao Wu:
Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers. CoRR abs/2312.12340 (2023) - 2022
- [j2]Zexi Li
Can we share models if sharing data is not an option? Patterns 3(11): 100603 (2022) - [i2]Zexi Li, Jiaxun Lu, Shuang Luo, Didi Zhu, Yunfeng Shao, Yinchuan Li, Zhimeng Zhang, Chao Wu:
Mining Latent Relationships among Clients: Peer-to-peer Federated Learning with Adaptive Neighbor Matching. CoRR abs/2203.12285 (2022) - 2021
- [j1]Xiaoli Li
Boosting the generalization ability of Vis-NIR-spectroscopy-based regression models through dimension reduction and transfer learning. Comput. Electron. Agric. 186: 106157 (2021) - [i1]Shuang Luo, Didi Zhu, Zexi Li, Chao Wu:
Ensemble Federated Adversarial Training with Non-IID data. CoRR abs/2110.14814 (2021)
Coauthor Index
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