Xinyue Zhang

Orcid: 0000-0002-4243-083X

Affiliations:
  • Kennesaw State University, Kennesaw, GA, USA
  • University of Houston, TX, USA (former)


According to our database1, Xinyue Zhang authored at least 28 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Bridging Quantum Computing and Differential Privacy: A Survey on Quantum Computing Privacy.
CoRR, 2024

2023
Metaverse CAN: Embracing Continuous, Active, and Non-Intrusive Biometric Authentication.
IEEE Netw., November, 2023

Data-Driven Transportation Network Company Vehicle Scheduling With Users' Location Differential Privacy Preservation.
IEEE Trans. Mob. Comput., 2023

Tuning Quantum Computing Privacy through Quantum Error Correction.
CoRR, 2023

Harnessing Inherent Noises for Privacy Preservation in Quantum Machine Learning.
CoRR, 2023

EEFL: High-Speed Wireless Communications Inspired Energy Efficient Federated Learning over Mobile Devices.
Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

Poster: AsyncFedKD: Asynchronous Federated Learning with Knowledge Distillation.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2023

2022
Privacy Preserving Participant Recruitment for Coverage Maximization in Location Aware Mobile Crowdsensing.
IEEE Trans. Mob. Comput., 2022

Energy Efficient Federated Learning over Cooperative Relay-Assisted Wireless Networks.
Proceedings of the IEEE Global Communications Conference, 2022

Reinforcement Learning Agent for Path Planning with Expert Demonstration.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Robust federated learning based on metrics learning and unsupervised clustering for malicious data detection.
Proceedings of the ACM SE '22: 2022 ACM Southeast Conference, Virtual Event, April 18, 2022

2021
Data-Driven Caching With Users' Content Preference Privacy in Information-Centric Networks.
IEEE Trans. Wirel. Commun., 2021

Data-Driven Spectrum Trading with Secondary Users' Differential Privacy Preservation.
IEEE Trans. Dependable Secur. Comput., 2021

Adaptive Privacy Preserving Deep Learning Algorithms for Medical Data.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

A Privacy Preserving Federated Learning Framework for COVID-19 Vulnerability Map Construction.
Proceedings of the ICC 2021, 2021

2020
Evaluation of Inference Attack Models for Deep Learning on Medical Data.
CoRR, 2020

Secure Routing Protocol in Wireless Ad Hoc Networks via Deep Learning.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Mobile Crowdsensing Task Allocation optimization with Differentially Private Location Privacy.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Data-Driven Small Cell Planning for Traffic Offloading with Users' Differential Privacy.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Differentially Private and Fair Classification via Calibrated Functional Mechanism.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Catching All Pokémon: Virtual Reward Optimization With Tensor Voting Based Trajectory Privacy.
IEEE Trans. Veh. Technol., 2019

Data-Driven Small Cell Placement Optimization with Users' Differential Privacy for Wireless NGNs.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Differentially Private Functional Mechanism for Generative Adversarial Networks.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Participant Recruitment for Coverage-Aware Mobile Crowdsensing with Location Differential Privacy.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Differentially Private Robust ADMM for Distributed Machine Learning.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
TPP: Trajectory Privacy Preservation Against Tensor Voting Based Inference Attacks.
IEEE Access, 2018

Data-Driven Caching with Users' Local Differential Privacy in Information-Centric Networks.
Proceedings of the IEEE Global Communications Conference, 2018

Data-Driven Optimization for Utility Providers with Differential Privacy of Users' Energy Profile.
Proceedings of the IEEE Global Communications Conference, 2018


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