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xieyxclack authored Aug 7, 2024
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### Publications ([google scholar](https://scholar.google.com.hk/citations?user=fhWk0gEAAAAJ&hl=zh-CN), [dblp](https://dblp.org/pid/232/2045.html))

[2024]
[2024]
+ [Very Large-Scale Multi-Agent Simulation in AgentScope](https://arxiv.org/abs/2407.17789)
+ Xuchen Pan, Dawei Gao, **Yuexiang Xie**, Zhewei Wei, Yaliang Li, Bolin Ding, Ji-Rong Wen, Jingren Zhou
+ *arXiv, 2024* [[code](https://github.com/modelscope/agentscope)]
+ [Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization](https://arxiv.org/abs/2407.07880)
+ Junkang Wu, **Yuexiang Xie**, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
+ *arXiv, 2024* [[code](https://github.com/junkangwu/Dr_DPO)]
+ [$\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$](https://arxiv.org/abs/2407.08639)
+ Junkang Wu, **Yuexiang Xie**, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
+ *arXiv, 2024* [[code](https://github.com/junkangwu/beta-DPO)]
+ [Data-Juicer: A One-Stop Data Processing System for Large Language Models](https://arxiv.org/abs/2309.02033)
+ Daoyuan Chen, Yilun Huang, Zhijian Ma, Hesen Chen, Xuchen Pan, Ce Ge, Dawei Gao, **Yuexiang Xie**, Zhaoyang Liu, Jinyang Gao, Yaliang Li, Bolin Ding, Jingren Zhou
+ *In SIGMOD, 2024* [[code](https://github.com/alibaba/data-juicer)]
+ [FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning](https://arxiv.org/abs/2309.00363)
+ Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, **Yuexiang Xie**, Yaliang Li, Bolin Ding, Jingren Zhou
+ *KDD, 2024* [[code](https://github.com/alibaba/FederatedScope/tree/llm)]
+ [Privacy-Preserving Cross-Domain Recommendation with Federated Graph Learning](https://dl.acm.org/doi/pdf/10.1145/3653448)
+ Changxin Tian, **Yuexiang Xie**, Xu Chen, Yaliang Li, Xin Zhao
+ *In TOIS, 2024*
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+ [Tunable Soft Prompts are Messengers in Federated Learning](https://aclanthology.org/2023.findings-emnlp.976/)
+ Chenhe Dong\*, **Yuexiang Xie\***, Bolin Ding, Ying Shen, Yaliang Li
+ *In EMNLP, 2023* [[code](https://github.com/alibaba/FederatedScope/tree/fedsp/federatedscope/nlp/fedsp)]
+ [Data-Juicer: A One-Stop Data Processing System for Large Language Models](https://arxiv.org/abs/2309.02033)
+ Daoyuan Chen, Yilun Huang, Zhijian Ma, Hesen Chen, Xuchen Pan, Ce Ge, Dawei Gao, **Yuexiang Xie**, Zhaoyang Liu, Jinyang Gao, Yaliang Li, Bolin Ding, Jingren Zhou
+ *arXiv, 2023* [[code](https://github.com/alibaba/data-juicer)]
+ [FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning](https://arxiv.org/abs/2309.00363)
+ Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, **Yuexiang Xie**, Yaliang Li, Bolin Ding, Jingren Zhou
+ *arXiv, 2023* [[code](https://github.com/alibaba/FederatedScope/tree/llm)]
+ [FederatedScope: A Flexible Federated Learning Platform for Heterogeneity](https://arxiv.org/abs/2204.05011)
+ **Yuexiang Xie\***, Zhen Wang\*, Daoyuan Chen, Dawei Gao, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou
+ *In VLDB, 2023* [[code](https://github.com/alibaba/FederatedScope)]
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