| 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 | 19 | 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 | 14 | 2023 |
| Personalized Federated Learning with Inferred Collaboration Graphs R Ye, Z Ni, F Wu, S Chen, Y Wang International Conference on Machine Learning (ICML), 2023 | 10 | 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 | 9 | 2023 |
| Open-source can be dangerous: On the vulnerability of value alignment in open-source LLMs J Yi*, R Ye*, Q Chen, BB Zhu, S Chen, D Lian, G Sun, X Xie, F Wu | 3 | 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 ICLR 2024 AGI Workshop & DPFM Workshop, 2024 | 2 | 2024 |
| 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 ICLR 2024 AGI Workshop (Oral), 2024 | 2 | 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 | 1 | 2023 |
| Federated learning empowered by generative content R Ye, X Zhu, J Chai, S Chen, Y Wang arXiv preprint arXiv:2312.05807, 2023 | 1 | 2023 |
| Physical Backdoor Attack can Jeopardize Driving with Vision-Large-Language Models Z Ni, R Ye, Y Wei, Z Xiang, Y Wang, S Chen arXiv preprint arXiv:2404.12916, 2024 | | 2024 |
| Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning S Tang, R Ye, C Xu, X Dong, S Chen, Y Wang arXiv preprint arXiv:2403.06535, 2024 | | 2024 |
| Incentivizing Inclusive Data Contributions in Personalized Federated Learning S Chen, E Zhang, J Chai, R Ye, Y Wang | | 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 arXiv preprint arXiv:2401.12862, 2024 | | 2024 |
| Learn What You Need in Personalized Federated Learning K Lv, R Ye, X Huang, J Yang, S Chen arXiv preprint arXiv:2401.08327, 2024 | | 2024 |
| Customizing Global Model for Diverse Target Distributions in Federated Learning R Ye, J Chai, M Xu, S Chen, Y Wang | | |
Siheng ChenShanghai Jiao Tong University & Shanghai AI LaboratoryVerified email at sjtu.edu.cn
