Yexuan Shi

Orcid: 0000-0001-8897-3533

According to our database1, Yexuan Shi authored at least 16 papers between 2019 and 2024.

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Bibliography

2024
A survey on federated learning: a perspective from multi-party computation.
Frontiers Comput. Sci., June, 2024

2023
Efficient and Secure Skyline Queries Over Vertical Data Federation.
IEEE Trans. Knowl. Data Eng., September, 2023

Efficient Approximate Range Aggregation Over Large-Scale Spatial Data Federation.
IEEE Trans. Knowl. Data Eng., 2023

Secure Multi-party θ-join Algorithms Toward Data Federation.
Int. J. Softw. Informatics, 2023

Federated Computing: Query, Learning, and Beyond.
IEEE Data Eng. Bull., 2023

Approximate k-Nearest Neighbor Query over Spatial Data Federation.
Proceedings of the Database Systems for Advanced Applications, 2023

2022
An Efficient Insertion Operator in Dynamic Ridesharing Services.
IEEE Trans. Knowl. Data Eng., 2022

Hu-Fu: Efficient and Secure Spatial Queries over Data Federation.
Proc. VLDB Endow., 2022

Hu-Fu: A Data Federation System for Secure Spatial Queries.
Proc. VLDB Endow., 2022

Efficient Approximate Range Aggregation over Large-scale Spatial Data Federation (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Secure Multi-party kNN Search in Large-scale Spatial Data Federation.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Federated Topic Discovery: A Semantic Consistent Approach.
IEEE Intell. Syst., 2021

2020
Differentially Private Online Task Assignment in Spatial Crowdsourcing: A Tree-based Approach.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
Interaction-Aware Arrangement for Event-Based Social Networks.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Preference-Aware Task Assignment in On-Demand Taxi Dispatching: An Online Stable Matching Approach.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

A Unified Approach to Online Matching with Conflict-Aware Constraints.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019


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