| FedDisco: Federated Learning with Discrepancy-Aware Collaboration R Ye, M Xu, J Wang, C Xu, S Chen, Y Wang International Conference on Machine Learning (ICML), 2023 | 68 | 2023 |
| Gpa-net: No-reference point cloud quality assessment with multi-task graph convolutional network Z Shan, Q Yang, R Ye, Y Zhang, Y Xu, X Xu, S Liu IEEE Transactions on Visualization and Computer Graphics, 2023 | 50 | 2023 |
| OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning R Ye, W Wang, J Chai, D Li, Z Li, Y Xu, Y Du, Y Wang, S Chen ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2024 | 48 | 2024 |
| Personalized Federated Learning with Inferred Collaboration Graphs R Ye, Z Ni, F Wu, S Chen, Y Wang International Conference on Machine Learning (ICML), 2023 | 40 | 2023 |
| Fedfm: Anchor-based feature matching for data heterogeneity in federated learning R Ye, Z Ni, C Xu, J Wang, S Chen, YC Eldar IEEE Transactions on Signal Processing, 2023 | 28 | 2023 |
| Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation X Pang*, S Tang*, R Ye*, Y Xiong, B Zhang, Y Wang, S Chen International Conference on Machine Learning (ICML) Spotlight, 2024 | 25* | 2024 |
| On the Vulnerability of Safety Alignment in Open-Access LLMs J Yi*, R Ye*, Q Chen, B Zhu, S Chen, D Lian, G Sun, X Xie, F Wu Findings of the Association for Computational Linguistics ACL 2024, 9236-9260, 2024 | 19* | 2024 |
| Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models R Ye, J Chai, X Liu, Y Yang, Y Wang, S Chen NeurIPS 2024 FL Workshop, 2024 | 8 | 2024 |
| Physical Backdoor Attack can Jeopardize Driving with Vision-Large-Language Models Z Ni, R Ye, Y Wei, Z Xiang, Y Wang, S Chen ICML 2024 TiFA Workshop, 2024 | 6 | 2024 |
| FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models R Ye, R Ge, X Zhu, J Chai, Y Du, Y Liu, Y Wang, S Chen Conference on Neural Information Processing Systems (NeurIPS), 2024 | 5 | 2024 |
| Synthesizing post-training data for llms through multi-agent simulation S Tang, X Pang, Z Liu, B Tang, R Ye, X Dong, Y Wang, S Chen arXiv preprint arXiv:2410.14251, 2024 | 4 | 2024 |
| Fake It Till Make It: Federated Learning with Consensus-Oriented Generation R Ye, Y Du, Z Ni, S Chen, Y Wang International Conference on Learning Representations (ICLR), 2023 | 4 | 2023 |
| Federated Learning Empowered by Generative Content R Ye, X Zhu, J Chai, S Chen, Y Wang NeurIPS 2024 FL Workshop, 2023 | 3 | 2023 |
| Are we there yet? revealing the risks of utilizing large language models in scholarly peer review R Ye, X Pang, J Chai, J Chen, Z Yin, Z Xiang, X Dong, J Shao, S Chen arXiv preprint arXiv:2412.01708, 2024 | 2 | 2024 |
| Leveraging unstructured text data for federated instruction tuning of large language models R Ye, R Ge, Y Fengting, J Chai, Y Wang, S Chen arXiv preprint arXiv:2409.07136, 2024 | 2 | 2024 |
| FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units S Fang*, R Ye*, W Wang*, Z Liu, Y Wang, Y Wang, S Chen, Y Wang IEEE Transactions on Intelligent Transportation Systems, 2024 | 2 | 2024 |
| Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning S Tang, R Ye, C Xu, X Dong, S Chen, Y Wang Graph Signal Processing Workshop 2024, 2024 | | 2024 |
| Incentivizing Inclusive Data Contributions in Personalized Federated Learning S Chen, E Zhang, J Chai, R Ye, Y Wang ICLR AGI Workshop 2024, 2024 | | 2024 |
| Confusionprompt: Practical Private Inference for Online Large Language Models P Mai, Y Yang, R Yan, R Ye, Y Pang Available at SSRN 5046754, 2023 | | 2023 |
Siheng ChenShanghai Jiao Tong UniversityEmail verificata su sjtu.edu.cn