Tiandi Ye - RankMe

16 papers A* 2A 3Misc 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression. AAAI Kai Yao, Zhaorui Tan, Tiandi Ye, Lichun Li, Yuan Zhao, Wenyan Liu, Wei Wang, Jianke Zhu
2025	A	`conf`	Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning. CIKM Tiandi Ye, Wenyan Liu, Kai Yao, Lichun Li, Shangchao Su, Cen Chen, Xiang Li, Shan Yin, Ming Gao
2025	J	`jnl`	Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning. CoRR Tiandi Ye, Wenyan Liu, Kai Yao, Lichun Li, Shangchao Su, Cen Chen, Xiang Li, Shan Yin, Ming Gao
2024	J	`jnl`	BapFL: You can Backdoor Personalized Federated Learning. ACM Trans. Knowl. Discov. Data Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao
2024	Misc	`conf`	Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence. ICASSP Shu Zheng, Tiandi Ye, Xiang Li, Ming Gao
2024	J	`jnl`	OPa-Ma: Text Guided Mamba for 360-degree Image Out-painting. CoRR Penglei Gao, Kai Yao, Tiandi Ye, Steven Wang, Yuan Yao, Xiaofeng Wang
2024	J	`jnl`	ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression. CoRR Kai Yao, Zhaorui Tan, Tiandi Ye, Lichun Li, Yuan Zhao, Wenyan Liu, Wei Wang, Jianke Zhu
2024	A	`conf`	UPFL: Unsupervised Personalized Federated Learning towards New Clients. SDM Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao
2023	J	`jnl`	Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence. CoRR Shu Zheng, Tiandi Ye, Xiang Li, Ming Gao
2023	—	`conf`	Robust Clustered Federated Learning. DASFAA (1) Tiandi Ye, Senhui Wei, Jamie Cui, Cen Chen, Yingnan Fu, Ming Gao
2023	A*	`conf`	SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking. WWW Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
2023	J	`jnl`	Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking. CoRR Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
2023	J	`jnl`	UPFL: Unsupervised Personalized Federated Learning towards New Clients. CoRR Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao
2023	J	`jnl`	You Can Backdoor Personalized Federated Learning. CoRR Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao
2022	A	`conf`	Learning to Generalize in Heterogeneous Federated Networks. CIKM Cen Chen, Tiandi Ye, Li Wang, Ming Gao
2021	J	`jnl`	Practical and Light-weight Secure Aggregation for Federated Submodel Learning. CoRR Jamie Cui, Cen Chen, Tiandi Ye, Li Wang