GPA-Net: No-Reference Point Cloud Quality Assessment with Multi-task Graph Convolutional Network. - Ziyu Shan; Qi Yang 003; Rui Ye 001; Yujie Zhang; Yiling Xu; Xiaozhong Xu; Shan Liu 001 (CoRR, 2022)

Personalized Federated Learning with Inferred Collaboration Graphs. - Rui Ye 001; Zhenyang Ni; Fangzhao Wu; Siheng Chen; Yanfeng Wang 001 (ICML, 2023)

FedDisco: Federated Learning with Discrepancy-Aware Collaboration. - Rui Ye 001; Mingkai Xu; Jianyu Wang; Chenxin Xu; Siheng Chen; Yanfeng Wang 001 (ICML, 2023)

Federated Learning Empowered by Generative Content. - Rui Ye 001; Xinyu Zhu; Jingyi Chai; Siheng Chen; Yanfeng Wang 001 (CoRR, 2023)

FedFM: Anchor-Based Feature Matching for Data Heterogeneity in Federated Learning. - Rui Ye 001; Zhenyang Ni; Chenxin Xu; Jianyu Wang; Siheng Chen; Yonina C. Eldar (IEEE Trans. Signal Process., 2023)

On the Vulnerability of Safety Alignment in Open-Access LLMs. - Jingwei Yi; Rui Ye 001; Qisi Chen; Bin Zhu 008; Siheng Chen; Defu Lian; Guangzhong Sun; Xing Xie 001; Fangzhao Wu (ACL (Findings), 2024)

KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server. - Wenhao Wang 002; Xiaoyu Liang; Rui Ye 001; Jingyi Chai; Siheng Chen; Yanfeng Wang 001 (EMNLP, 2024)

Fake It Till Make It: Federated Learning with Consensus-Oriented Generation. - Rui Ye 001; Yaxin Du; Zhenyang Ni; Yanfeng Wang 001; Siheng Chen (ICLR, 2024)

Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation. - Xianghe Pang; Shuo Tang; Rui Ye 001; Yuxin Xiong; Bolun Zhang; Yanfeng Wang 001; Siheng Chen (ICML, 2024)

OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning. - Rui Ye 001; Wenhao Wang 002; Jingyi Chai; Dihan Li; Zexi Li; Yinda Xu; Yaxin Du; Yanfeng Wang 001; Siheng Chen (KDD, 2024)

FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models. - Rui Ye 001; Rui Ge 008; Xinyu Zhu; Jingyi Chai; Yaxin Du; Yang Liu; Yanfeng Wang 001; Siheng Chen (NeurIPS, 2024)

Learn What You Need in Personalized Federated Learning. - Kexin Lv; Rui Ye 001; Xiaolin Huang; Jie Yang 002; Siheng Chen (CoRR, 2024)

FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units. - Shaoheng Fang; Rui Ye 001; Wenhao Wang 002; Zuhong Liu; Yuxiao Wang; Yafei Wang 002; Siheng Chen; Yanfeng Wang 001 (CoRR, 2024)

Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning. - Shuo Tang; Rui Ye 001; Chenxin Xu; Xiaowen Dong 001; Siheng Chen; Yanfeng Wang 001 (CoRR, 2024)

Physical Backdoor Attack can Jeopardize Driving with Vision-Large-Language Models. - Zhenyang Ni; Rui Ye 001; Yuxi Wei; Zhen Xiang; Yanfeng Wang 001; Siheng Chen (CoRR, 2024)

Leveraging Unstructured Text Data for Federated Instruction Tuning of Large Language Models. - Rui Ye 001; Rui Ge 008; Yuchi Fengting; Jingyi Chai; Yanfeng Wang 001; Siheng Chen (CoRR, 2024)

Data Quality Control in Federated Instruction-tuning of Large Language Models. - Yaxin Du; Rui Ye 001; Yuchi Fengting; Wanru Zhao; Jingjing Qu; Yanfeng Wang 001; Siheng Chen (CoRR, 2024)

Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation. - Shuo Tang; Xianghe Pang; Zexi Liu; Bohan Tang; Rui Ye 001; Xiaowen Dong 001; Yanfeng Wang 001; Siheng Chen (CoRR, 2024)

Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review. - Rui Ye 001; Xianghe Pang; Jingyi Chai; Jiaao Chen; Zhenfei Yin; Zhen Xiang; Xiaowen Dong 001; Jing Shao; Siheng Chen (CoRR, 2024)

GPA-Net:No-Reference Point Cloud Quality Assessment With Multi-Task Graph Convolutional Network. - Ziyu Shan; Qi Yang 003; Rui Ye 001; Yujie Zhang; Yiling Xu; Xiaozhong Xu; Shan Liu 001 (IEEE Trans. Vis. Comput. Graph., 2024)

FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units. - Shaoheng Fang; Rui Ye 001; Wenhao Wang 002; Zuhong Liu; Yuxiao Wang; Yafei Wang 001; Siheng Chen; Yanfeng Wang 001 (IEEE Trans. Intell. Transp. Syst., 2024)

FedDQC: Data Quality Control in Federated Instruction-tuning of Large Language Models. - Yaxin Du; Rui Ye 001; Fengting Yuchi; Wanru Zhao; Jingjing Qu; Yanfeng Wang 001; Siheng Chen (ACL (Findings), 2025)

Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation. - Shuo Tang; Xianghe Pang; Zexi Liu; Bohan Tang; Rui Ye 001; Tian Jin; Xiaowen Dong 001; Yanfeng Wang 001; Siheng Chen (ACL (1), 2025)

Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models. - Rui Ye 001; Jingyi Chai; Xiangrui Liu; Yaodong Yang 001; Yanfeng Wang 001; Siheng Chen (ICLR, 2025)

FedMobileAgent: Training Mobile Agents Using Decentralized Self-Sourced Data from Diverse Users. - Wenhao Wang 002; Zijie Yu; William Liu; Rui Ye 001; Tian Jin; Siheng Chen; Yanfeng Wang 001 (CoRR, 2025)

MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems. - Rui Ye 001; Shuo Tang; Rui Ge 008; Yaxin Du; Zhenfei Yin; Siheng Chen; Jing Shao (CoRR, 2025)

FedMABench: Benchmarking Mobile Agents on Decentralized Heterogeneous User Data. - Wenhao Wang 002; Zijie Yu; Rui Ye 001; Jianqing Zhang; Siheng Chen; Yanfeng Wang 001 (CoRR, 2025)

Incentivizing Inclusive Contributions in Model Sharing Markets. - Enpei Zhang; Jingyi Chai; Rui Ye 001; Yanfeng Wang 001; Siheng Chen (CoRR, 2025)

MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems. - Rui Ye 001; Keduan Huang; Qimin Wu; Yuzhu Cai; Tian Jin; Xianghe Pang; Xiangrui Liu; Jiaqi Su; Chen Qian; Bohan Tang; Kaiqu Liang; Jiaao Chen; et al. (CoRR, 2025)

X-MAS: Towards Building Multi-Agent Systems with Heterogeneous LLMs. - Rui Ye 001; Xiangrui Liu; Qimin Wu; Xianghe Pang; Zhenfei Yin; Lei Bai 001; Siheng Chen (CoRR, 2025)

ML-Agent: Reinforcing LLM Agents for Autonomous Machine Learning Engineering. - Zexi Liu; Jingyi Chai; Xinyu Zhu; Shuo Tang; Rui Ye 001; Bolun Zhang; Lei Bai 001; Siheng Chen (CoRR, 2025)

SciMaster: Towards General-Purpose Scientific AI Agents, Part I. X-Master as Foundation: Can We Lead on Humanity's Last Exam? - Jingyi Chai; Shuo Tang; Rui Ye 001; Yuwen Du; Xinyu Zhu; Mengcheng Zhou; Yanfeng Wang 001; Weinan E; Yuzhi Zhang; Linfeng Zhang 002; Siheng Chen (CoRR, 2025)

BrowseMaster: Towards Scalable Web Browsing via Tool-Augmented Programmatic Agent Pair. - Xianghe Pang; Shuo Tang; Rui Ye 001; Yuwen Du; Yaxin Du; Siheng Chen (CoRR, 2025)