Tiandi Ye

According to our database, Tiandi Ye authored at least 14 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Variational Adapter for Cross-modal Similarity Representation.

Wenzhang Wei, Zhipeng Gui, Dehua Peng, Tiandi Ye, Huayi Wu

CoRR, May, 2026

OPa-Ma: Text guided Mamba for 360-degree image out-painting.

Penglei Gao, Kai Yao, Tiandi Ye, Steven Z. Wang, Yuan Yao, Xiaofeng Wang

Pattern Recognit., 2026

2025

Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning.

Tiandi Ye, Wenyan Liu, Kai Yao, Lichun Li, Shangchao Su, Cen Chen, Xiang Li, Shan Yin, Ming Gao

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression.

Kai Yao, Zhaorui Tan, Tiandi Ye, Lichun Li, Yuan Zhao, Wenyan Liu, Wei Wang, Jianke Zhu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

BapFL: You can Backdoor Personalized Federated Learning.

Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao

ACM Trans. Knowl. Discov. Data, August, 2024

OPa-Ma: Text Guided Mamba for 360-degree Image Out-painting.

Penglei Gao, Kai Yao, Tiandi Ye, Steven Wang, Yuan Yao, Xiaofeng Wang

CoRR, 2024

UPFL: Unsupervised Personalized Federated Learning towards New Clients.

Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence.

Shu Zheng, Tiandi Ye, Xiang Li, Ming Gao

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

You Can Backdoor Personalized Federated Learning.

Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao

CoRR, 2023

Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking.

Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao

CoRR, 2023

SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking.

Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao

Proceedings of the ACM Web Conference 2023, 2023

Robust Clustered Federated Learning.

Tiandi Ye, Senhui Wei, Jamie Cui, Cen Chen, Yingnan Fu, Ming Gao

Proceedings of the Database Systems for Advanced Applications, 2023

2022

Learning to Generalize in Heterogeneous Federated Networks.

Cen Chen, Tiandi Ye, Li Wang, Ming Gao

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Practical and Light-weight Secure Aggregation for Federated Submodel Learning.

Jamie Cui, Cen Chen, Tiandi Ye, Li Wang

CoRR, 2021