Rui Ye - RankMe

47 papers A* 10Journal 34Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data. CoRR Yuwen Du, Rui Ye, Shuo Tang, Xinyu Zhu, Yijun Lu, Yuzhu Cai, Siheng Chen
2026	J	`jnl`	Toward Ultra-Long-Horizon Agentic Science: Cognitive Accumulation for Machine Learning Engineering. CoRR Xinyu Zhu, Yuzhu Cai, Zexi Liu, Bingyang Zheng, Cheng Wang, Rui Ye, Jiaao Chen, Hanrui Wang, Wei-Chen Wang, Yuzhi Zhang, Linfeng Zhang, Weinan E, Di Jin, Siheng Chen, Yanfeng Wang
2025	J	`jnl`	Bohrium + SciMaster: Building the Infrastructure and Ecosystem for Agentic Science at Scale. CoRR Linfeng Zhang, Siheng Chen, Yuzhu Cai, Jingyi Chai, Junhan Chang, Kun Chen, Zhi X. Chen, Zhaohan Ding, Yuwen Du, Yuanpeng Gao, Yuan Gao, Jing Gao, Zhifeng Gao, Qiangqiang Gu, Yanhui Hong, Yuan Huang, Xi Fang, Xiaohong Ji, Guolin Ke, Zixing Lei, Xinyu Li, Yongge Li, Ruoxue Liao, Hang Lin, Xiaolu Lin, Yuxiang Liu, Xinzijian Liu, Zexi Liu, Jintan Lu, Tingjia Miao, Haohui Que, Weijie Sun, Yanfeng Wang, Bingyang Wu, Tianju Xue, Rui Ye, Jinzhe Zeng, Duo Zhang, Jiahui Zhang, Tianhan Zhang, Wenchang Zhang, Yuzhi Zhang, Zezhong Zhang, Hang Zheng, Hui Zhou, Tong Zhu, Xinyu Zhu, Qingguo Zhou, Weinan E
2025	J	`jnl`	BrowseMaster: Towards Scalable Web Browsing via Tool-Augmented Programmatic Agent Pair. CoRR Xianghe Pang, Shuo Tang, Rui Ye, Yuwen Du, Yaxin Du, Siheng Chen
2025	A*	`conf`	Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models. ICLR Rui Ye, Jingyi Chai, Xiangrui Liu, Yaodong Yang, Yanfeng Wang, Siheng Chen
2025	—	`conf`	FedDQC: Data Quality Control in Federated Instruction-tuning of Large Language Models. ACL (Findings) Yaxin Du, Rui Ye, Fengting Yuchi, Wanru Zhao, Jingjing Qu, Yanfeng Wang, Siheng Chen
2025	J	`jnl`	FedMABench: Benchmarking Mobile Agents on Decentralized Heterogeneous User Data. CoRR Wenhao Wang, Zijie Yu, Rui Ye, Jianqing Zhang, Siheng Chen, Yanfeng Wang
2025	A*	`conf`	FedMABench: Benchmarking Mobile GUI Agents on Decentralized Heterogeneous User Data. EMNLP Wenhao Wang, Zijie Yu, Rui Ye, Jianqing Zhang, Guangyi Liu, Liang Liu, Siheng Chen, Yanfeng Wang
2025	J	`jnl`	FedMobileAgent: Training Mobile Agents Using Decentralized Self-Sourced Data from Diverse Users. CoRR Wenhao Wang, Zijie Yu, William Liu, Rui Ye, Tian Jin, Siheng Chen, Yanfeng Wang
2025	J	`jnl`	Incentivizing Inclusive Contributions in Model Sharing Markets. CoRR Enpei Zhang, Jingyi Chai, Rui Ye, Yanfeng Wang, Siheng Chen
2025	A*	`conf`	MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems. ICML Rui Ye, Shuo Tang, Rui Ge, Yaxin Du, Zhenfei Yin, Siheng Chen, Jing Shao
2025	J	`jnl`	MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems. CoRR Rui Ye, Shuo Tang, Rui Ge, Yaxin Du, Zhenfei Yin, Siheng Chen, Jing Shao
2025	J	`jnl`	MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems. CoRR Rui Ye, Keduan Huang, Qimin Wu, Yuzhu Cai, Tian Jin, Xianghe Pang, Xiangrui Liu, Jiaqi Su, Chen Qian, Bohan Tang, Kaiqu Liang, Jiaao Chen, Yue Hu, Zhenfei Yin, Rongye Shi, Bo An, Yang Gao, Wenjun Wu, Lei Bai, Siheng Chen
2025	J	`jnl`	ML-Agent: Reinforcing LLM Agents for Autonomous Machine Learning Engineering. CoRR Zexi Liu, Jingyi Chai, Xinyu Zhu, Shuo Tang, Rui Ye, Bolun Zhang, Lei Bai, Siheng Chen
2025	J	`jnl`	PhysMaster: Building an Autonomous AI Physicist for Theoretical and Computational Physics Research. CoRR Tingjia Miao, Jiawen Dai, Jingkun Liu, Jinxin Tan, Muhua Zhang, Wenkai Jin, Yuwen Du, Tian Jin, Xianghe Pang, Zexi Liu, Tu Guo, Zhengliang Zhang, Yunjie Huang, Shuo Chen, Rui Ye, Yuzhi Zhang, Linfeng Zhang, Kun Chen, Wei Wang, Weinan E, Siheng Chen
2025	J	`jnl`	SciMaster: Towards General-Purpose Scientific AI Agents, Part I. X-Master as Foundation: Can We Lead on Humanity's Last Exam? CoRR Jingyi Chai, Shuo Tang, Rui Ye, Yuwen Du, Xinyu Zhu, Mengcheng Zhou, Yanfeng Wang, Weinan E, Yuzhi Zhang, Linfeng Zhang, Siheng Chen
2025	—	`conf`	Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation. ACL (1) Shuo Tang, Xianghe Pang, Zexi Liu, Bohan Tang, Rui Ye, Tian Jin, Xiaowen Dong, Yanfeng Wang, Siheng Chen
2025	J	`jnl`	X-MAS: Towards Building Multi-Agent Systems with Heterogeneous LLMs. CoRR Rui Ye, Xiangrui Liu, Qimin Wu, Xianghe Pang, Zhenfei Yin, Lei Bai, Siheng Chen
2024	J	`jnl`	Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review. CoRR Rui Ye, Xianghe Pang, Jingyi Chai, Jiaao Chen, Zhenfei Yin, Zhen Xiang, Xiaowen Dong, Jing Shao, Siheng Chen
2024	J	`jnl`	Data Quality Control in Federated Instruction-tuning of Large Language Models. CoRR Yaxin Du, Rui Ye, Yuchi Fengting, Wanru Zhao, Jingjing Qu, Yanfeng Wang, Siheng Chen
2024	J	`jnl`	Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning. CoRR Shuo Tang, Rui Ye, Chenxin Xu, Xiaowen Dong, Siheng Chen, Yanfeng Wang
2024	J	`jnl`	Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models. CoRR Rui Ye, Jingyi Chai, Xiangrui Liu, Yaodong Yang, Yanfeng Wang, Siheng Chen
2024	A*	`conf`	Fake It Till Make It: Federated Learning with Consensus-Oriented Generation. ICLR Rui Ye, Yaxin Du, Zhenyang Ni, Yanfeng Wang, Siheng Chen
2024	A*	`conf`	FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models. NeurIPS Rui Ye, Rui Ge, Xinyu Zhu, Jingyi Chai, Yaxin Du, Yang Liu, Yanfeng Wang, Siheng Chen
2024	J	`jnl`	FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models. CoRR Rui Ye, Rui Ge, Xinyu Zhu, Jingyi Chai, Yaxin Du, Yang Liu, Yanfeng Wang, Siheng Chen
2024	J	`jnl`	FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units. CoRR Shaoheng Fang, Rui Ye, Wenhao Wang, Zuhong Liu, Yuxiao Wang, Yafei Wang, Siheng Chen, Yanfeng Wang
2024	J	`jnl`	FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units. IEEE Trans. Intell. Transp. Syst. Shaoheng Fang, Rui Ye, Wenhao Wang, Zuhong Liu, Yuxiao Wang, Yafei Wang, Siheng Chen, Yanfeng Wang
2024	J	`jnl`	GPA-Net:No-Reference Point Cloud Quality Assessment With Multi-Task Graph Convolutional Network. IEEE Trans. Vis. Comput. Graph. Ziyu Shan, Qi Yang, Rui Ye, Yujie Zhang, Yiling Xu, Xiaozhong Xu, Shan Liu
2024	A*	`conf`	KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server. EMNLP Wenhao Wang, Xiaoyu Liang, Rui Ye, Jingyi Chai, Siheng Chen, Yanfeng Wang
2024	J	`jnl`	KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server. CoRR Wenhao Wang, Xiaoyu Liang, Rui Ye, Jingyi Chai, Siheng Chen, Yanfeng Wang
2024	J	`jnl`	Learn What You Need in Personalized Federated Learning. CoRR Kexin Lv, Rui Ye, Xiaolin Huang, Jie Yang, Siheng Chen
2024	J	`jnl`	Leveraging Unstructured Text Data for Federated Instruction Tuning of Large Language Models. CoRR Rui Ye, Rui Ge, Yuchi Fengting, Jingyi Chai, Yanfeng Wang, Siheng Chen
2024	—	`conf`	On the Vulnerability of Safety Alignment in Open-Access LLMs. ACL (Findings) Jingwei Yi, Rui Ye, Qisi Chen, Bin Zhu, Siheng Chen, Defu Lian, Guangzhong Sun, Xing Xie, Fangzhao Wu
2024	A*	`conf`	OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning. KDD Rui Ye, Wenhao Wang, Jingyi Chai, Dihan Li, Zexi Li, Yinda Xu, Yaxin Du, Yanfeng Wang, Siheng Chen
2024	J	`jnl`	OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning. CoRR Rui Ye, Wenhao Wang, Jingyi Chai, Dihan Li, Zexi Li, Yinda Xu, Yaxin Du, Yanfeng Wang, Siheng Chen
2024	J	`jnl`	Physical Backdoor Attack can Jeopardize Driving with Vision-Large-Language Models. CoRR Zhenyang Ni, Rui Ye, Yuxi Wei, Zhen Xiang, Yanfeng Wang, Siheng Chen
2024	A*	`conf`	Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation. ICML Xianghe Pang, Shuo Tang, Rui Ye, Yuxin Xiong, Bolun Zhang, Yanfeng Wang, Siheng Chen
2024	J	`jnl`	Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation. CoRR Xianghe Pang, Shuo Tang, Rui Ye, Yuxin Xiong, Bolun Zhang, Yanfeng Wang, Siheng Chen
2024	J	`jnl`	Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation. CoRR Shuo Tang, Xianghe Pang, Zexi Liu, Bohan Tang, Rui Ye, Xiaowen Dong, Yanfeng Wang, Siheng Chen
2023	J	`jnl`	Fake It Till Make It: Federated Learning with Consensus-Oriented Generation. CoRR Rui Ye, Yaxin Du, Zhenyang Ni, Siheng Chen, Yanfeng Wang
2023	A*	`conf`	FedDisco: Federated Learning with Discrepancy-Aware Collaboration. ICML Rui Ye, Mingkai Xu, Jianyu Wang, Chenxin Xu, Siheng Chen, Yanfeng Wang
2023	J	`jnl`	FedDisco: Federated Learning with Discrepancy-Aware Collaboration. CoRR Rui Ye, Mingkai Xu, Jianyu Wang, Chenxin Xu, Siheng Chen, Yanfeng Wang
2023	J	`jnl`	FedFM: Anchor-Based Feature Matching for Data Heterogeneity in Federated Learning. IEEE Trans. Signal Process. Rui Ye, Zhenyang Ni, Chenxin Xu, Jianyu Wang, Siheng Chen, Yonina C. Eldar
2023	J	`jnl`	Federated Learning Empowered by Generative Content. CoRR Rui Ye, Xinyu Zhu, Jingyi Chai, Siheng Chen, Yanfeng Wang
2023	A*	`conf`	Personalized Federated Learning with Inferred Collaboration Graphs. ICML Rui Ye, Zhenyang Ni, Fangzhao Wu, Siheng Chen, Yanfeng Wang
2022	J	`jnl`	FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated Learning. CoRR Rui Ye, Zhenyang Ni, Chenxin Xu, Jianyu Wang, Siheng Chen, Yonina C. Eldar
2022	J	`jnl`	GPA-Net: No-Reference Point Cloud Quality Assessment with Multi-task Graph Convolutional Network. CoRR Ziyu Shan, Qi Yang, Rui Ye, Yujie Zhang, Yiling Xu, Xiaozhong Xu, Shan Liu