Ye, Rui

24 publications

ICLR 2025 Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models Rui Ye, Jingyi Chai, Xiangrui Liu, Yaodong Yang, Yanfeng Wang, Siheng Chen

ICML 2025 MAS-GPT: Training LLMs to Build LLM-Based Multi-Agent Systems Rui Ye, Shuo Tang, Rui Ge, Yaxin Du, Zhenfei Yin, Siheng Chen, Jing Shao

ICLRW 2025 MAS-GPT: Training LLMs to Build LLM-Based Multi-Agent Systems Rui Ye, Shuo Tang, Rui Ge, Yaxin Du, Zhenfei Yin, Jing Shao, Siheng Chen

AAAI 2025 SLRL: Semi-Supervised Local Community Detection Based on Reinforcement Learning Li Ni, Rui Ye, Wenjian Luo, Yiwen Zhang, Lei Zhang, Victor S. Sheng

CVPR 2025 Sensitivity-Aware Efficient Fine-Tuning via Compact Dynamic-Rank Adaptation Tianran Chen, Jiarui Chen, Baoquan Zhang, Zhehao Yu, Shidong Chen, Rui Ye, Xutao Li, Yunming Ye

NeurIPSW 2024 Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models Rui Ye, Jingyi Chai, Xiangrui Liu, Yaodong Yang, Yanfeng Wang, Siheng Chen

ICLR 2024 Fake It till Make It: Federated Learning with Consensus-Oriented Generation Rui Ye, Yaxin Du, Zhenyang Ni, Yanfeng Wang, Siheng Chen

NeurIPS 2024 FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models Rui Ye, Rui Ge, Xinyu Zhu, Jingyi Chai, Yaxin Du, Yang Liu, Yanfeng Wang, Siheng Chen

NeurIPSW 2024 Federated Learning with Generative Content Rui Ye, Xinyu Zhu, Jingyi Chai, Lingjuan Lyu, Chen Xie, Yanfeng Wang, Siheng Chen

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

ICLRW 2024 Incentivizing Inclusive Data Contributions in Personalized Federated Learning Enpei Zhang, Jingyi Chai, Rui Ye, Yanfeng Wang, Siheng Chen

NeurIPSW 2024 Leveraging Unstructured Text Data for Federated Instruction Tuning of Large Language Models Rui Ye, Rui Ge, Fengting Yuchi, Jingyi Chai, Yanfeng Wang, Siheng Chen

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

ICMLW 2024 Physical Backdoor Attack Can Jeopardize Driving with Vision-Large-Language Models Zhenyang Ni, Rui Ye, Yuxi Wei, Zhen Xiang, Yanfeng Wang, Siheng Chen

ICML 2024 Self-Alignment of Large Language Models via Monopolylogue-Based Social Scene Simulation Xianghe Pang, Shuo Tang, Rui Ye, Yuxin Xiong, Bolun Zhang, Yanfeng Wang, Siheng Chen

ICLRW 2024 Self-Alignment of Large Language Models via Monopolylogue-Based Social Scene Simulation Xianghe Pang, Shuo Tang, Rui Ye, Yuxin Xiong, Bolun Zhang, Yanfeng Wang, Siheng Chen

ICLRW 2024 Self-Alignment of Large Language Models via Multi-Agent Social Simulation Xianghe Pang, Shuo Tang, Rui Ye, Yuxin Xiong, Bolun Zhang, Yanfeng Wang, Siheng Chen

ICLRW 2024 Self-Alignment of Large Language Models via Social Scene Simulation Xianghe Pang, Shuo Tang, Rui Ye, Yuxin Xiong, Bolun Zhang, Yanfeng Wang, Siheng Chen

ICML 2023 FedDisco: Federated Learning with Discrepancy-Aware Collaboration Rui Ye, Mingkai Xu, Jianyu Wang, Chenxin Xu, Siheng Chen, Yanfeng Wang

ICML 2023 Personalized Federated Learning with Inferred Collaboration Graphs Rui Ye, Zhenyang Ni, Fangzhao Wu, Siheng Chen, Yanfeng Wang

IJCAI 2022 Hyperbolic Knowledge Transfer with Class Hierarchy for Few-Shot Learning Baoquan Zhang, Hao Jiang, Shanshan Feng, Xutao Li, Yunming Ye, Rui Ye

AAAI 2022 MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning Baoquan Zhang, Xutao Li, Shanshan Feng, Yunming Ye, Rui Ye

IJCAI 2019 A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment Rui Ye, Xin Li, Yujie Fang, Hongyu Zang, Mingzhong Wang

IJCAI 2018 Non-Translational Alignment for Multi-Relational Networks Shengnan Li, Xin Li, Rui Ye, Mingzhong Wang, Haiping Su, Yingzi Ou