Jamie Cui - RankMe

13 papers A 1Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	FedPAB: Federated Medical Image Segmentation with Personalized Attention and Boundary-oriented Learning. BIBM Xinyv Li, Cen Chen, Jamie Cui
2024	J	`jnl`	Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications. Int. J. Mach. Learn. Cybern. Chao-Chao Chen, Fei Zheng, Jamie Cui, Yuwei Cao, Guanfeng Liu, Jia Wu, Jun Zhou
2023	—	`conf`	A Customized Text Sanitization Mechanism with Differential Privacy. ACL (Findings) Sai Chen, Fengran Mo, Yanhao Wang, Cen Chen, Jian-Yun Nie, Chengyu Wang, Jamie Cui
2023	A	`conf`	Online Efficient Secure Logistic Regression based on Function Secret Sharing. CIKM Jing Liu, Jamie Cui, Cen Chen
2023	J	`jnl`	Online Efficient Secure Logistic Regression based on Function Secret Sharing. CoRR Jing Liu, Jamie Cui, Cen Chen
2023	—	`conf`	Robust Clustered Federated Learning. DASFAA (1) Tiandi Ye, Senhui Wei, Jamie Cui, Cen Chen, Yingnan Fu, Ming Gao
2022	J	`jnl`	A Customised Text Privatisation Mechanism with Differential Privacy. CoRR Huimin Chen, Fengran Mo, Cen Chen, Jamie Cui, Jian-Yun Nie
2022	J	`jnl`	DP-PSI: Private and Secure Set Intersection. CoRR Jian Du, Tianxi Ji, Jamie Cui, Lei Zhang, Yufei Lu, Pu Duan
2022	J	`jnl`	Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. CoRR Jamie Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang
2022	J	`jnl`	Scalable and Sparsity-Aware Privacy-Preserving K-means Clustering with Application to Fraud Detection. CoRR Yingting Liu, Chaochao Chen, Jamie Cui, Li Wang, Lei Wang
2021	J	`jnl`	Practical and Light-weight Secure Aggregation for Federated Submodel Learning. CoRR Jamie Cui, Cen Chen, Tiandi Ye, Li Wang
2020	J	`jnl`	Highly-Scalable Protected Graph Database Search with Oblivious Filter. IACR Cryptol. ePrint Arch. Jamie Cui, Chaochao Chen, Li Wang
2020	J	`jnl`	Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications. CoRR Chaochao Chen, Jamie Cui, Guanfeng Liu, Jia Wu, Li Wang

Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski