From d3a6c2bfa58820408e7259593fb0314a0ed61e70 Mon Sep 17 00:00:00 2001 From: Yuexiang XIE Date: Thu, 31 Oct 2024 14:46:03 +0800 Subject: [PATCH] Update index.md --- index.md | 34 ++++++++++++++++++++++------------ 1 file changed, 22 insertions(+), 12 deletions(-) diff --git a/index.md b/index.md index 94d4e43..a5de0d2 100644 --- a/index.md +++ b/index.md @@ -4,32 +4,41 @@ Alibaba Group Email: yuexiang.xyx AT alibaba-inc.com +### Work Experiences -### Awards & Scholarships - -+ Best Paper Award at Applied Data Science Track, KDD'22 -+ KDD Cup, AutoML Track, 4/149, May 2020. -+ National Scholarship, Sep 2014. ++ July 2020 - Now, Alibaba Group, Hang Zhou. ### Publications ([google scholar](https://scholar.google.com.hk/citations?user=fhWk0gEAAAAJ&hl=zh-CN), [dblp](https://dblp.org/pid/232/2045.html)) [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 + + Xuchen Pan, Dawei Gao, **Yuexiang Xie**, Yushuo Chen, 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)] + + *In NeurIPS, 2024* [[code](https://github.com/junkangwu/beta-DPO)] ++ [Understanding Byzantine Robustness in Federated Learning with A Black-box Server](https://arxiv.org/abs/2408.06042) + + Fangyuan Zhao, **Yuexiang Xie**, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li + + *arXiv, 2024* [[code](https://github.com/alibaba/FederatedScope/tree/Byzantine_attack_defense)] ++ [Exploring Selective Layer Fine-Tuning in Federated Learning](https://arxiv.org/abs/2408.15600) + + Yuchang Sun, **Yuexiang Xie**, Bolin Ding, Yaliang Li, Jun Zhang + + *arXiv, 2024* ++ [Agent-Oriented Planning in Multi-Agent Systems](https://arxiv.org/abs/2410.02189) + + Ao Li, **Yuexiang Xie**, Songze Li, Fugee Tsung, Bolin Ding, Yaliang Li + + *arXiv, 2024* + [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)] ++ [Is Sharing Neighbor Generator in Federated Graph Learning Safe?](https://www.computer.org/csdl/journal/tk/5555/01/10721361/218NN0mXwSA) + + Liuyi Yao, Zhen Wang, **Yuexiang Xie**, Yaliang Li, Weirui Kuang, Daoyuan Chen, Bolin Ding + + *In IEEE Transactions on Knowledge and Data Engineering, 2024* + [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)] + + *In 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* @@ -118,13 +127,14 @@ Email: yuexiang.xyx AT alibaba-inc.com + Jingchao Dai, Kaiqi Yuan, **Yuexiang Xie**, Ying Shen + *In KSEM, 2019* +### Awards & Scholarships -### Work Experiences - -+ July 2020 - Now, Alibaba Group, Hang Zhou. ++ Best Paper Award at Applied Data Science Track, KDD'22 ++ KDD Cup, AutoML Track, 4/149, May 2020. ++ National Scholarship, Sep 2014. ### Program Committee Memberships -+ Regular Reviewer (or PC Member): ICLR, ICML, NeurIPS, NeurIPS Datasets and Benchmarks, ACL ARR, KDD, AAAI, TNNLS, TBD ++ Regular Reviewer (or PC Member): ICLR, ICML, NeurIPS, NeurIPS Datasets and Benchmarks, ACL ARR, KDD, WWW, AAAI, TNNLS, TBD