Li, Zexi

14 publications

MLJ 2025 FediOS: Decoupling Orthogonal Subspaces for Personalization in Feature-Skew Federated Learning Lingzhi Gao, Zexi Li, Xinyi Shang, Yang Lu, Chao Wu

NeurIPS 2025 FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models Yan Gao, Massimo Roberto Scamarcia, Javier Fernandez-Marques, Mohammad Naseri, Chong Shen Ng, Dimitris Stripelis, Zexi Li, Tao Shen, Jiamu Bai, Daoyuan Chen, Zikai Zhang, Rui Hu, InSeo Song, Lee KangYoon, Hong Jia, Ting Dang, Junyan Wang, Zheyuan Liu, Daniel Janes Beutel, Lingjuan Lyu, Nicholas D. Lane

ICLR 2025 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

ICLRW 2025 Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization Zexi Li, Lingzhi Gao, Chao Wu

ICCV 2025 You Are Your Own Best Teacher: Achieving Centralized-Level Performance in Federated Learning Under Heterogeneous and Long-Tailed Data Shanshan Yan, Zexi Li, Chao Wu, Meng Pang, Yang Lu, Yan Yan, Hanzi Wang

NeurIPSW 2024 Improving Group Connectivity for Generalization of Federated Deep Learning Zexi Li, Jie Lin, Zhiqi Li, Didi Zhu, Rui Ye, Tao Shen, Tao Lin, Chao Wu

ICML 2024 Model Tailor: Mitigating Catastrophic Forgetting in Multi-Modal Large Language Models Didi Zhu, Zhongyisun Sun, Zexi Li, Tao Shen, Ke Yan, Shouhong Ding, Chao Wu, Kun Kuang

ICLRW 2024 OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning Rui Ye, WenHao Wang, Jingyi Chai, Dihan Li, Zexi Li, Yinda Xu, Yaxin Du, Yanfeng Wang, Siheng Chen

AAAI 2024 Scalable Geometric Fracture Assembly via Co-Creation Space Among Assemblers Ruiyuan Zhang, Jiaxiang Liu, Zexi Li, Hao Dong, Jie Fu, Chao Wu

NeurIPS 2024 WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models Peng Wang, Zexi Li, Ningyu Zhang, Ziwen Xu, Yunzhi Yao, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

NeurIPSW 2024 WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models Peng Wang, Zexi Li, Ningyu Zhang, Ziwen Xu, Yunzhi Yao, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

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

ICML 2023 Revisiting Weighted Aggregation in Federated Learning with Neural Networks Zexi Li, Tao Lin, Xinyi Shang, Chao Wu

ICCV 2023 Universal Domain Adaptation via Compressive Attention Matching Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Kun Kuang, Chao Wu