Yueqian Zhang

Orcid: 0000-0003-4237-6519

According to our database1, Yueqian Zhang authored at least 13 papers between 2015 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2022
sPrintr: Towards In-Situ Personal Fabrication using a Mobile 3D Printer.
Proceedings of the SCF '22: Proceedings of the 7th Annual ACM Symposium on Computational Fabrication, 2022

2021
Empowering Self-Organized Feature Maps for AI-Enabled Modeling of Fake Task Submissions to Mobile Crowdsensing Platforms.
IEEE Internet Things J., 2021

Medical CT Image Amplification And Reconstruction System.
Proceedings of the ICDLT 2021: 5th International Conference on Deep Learning Technologies, Qingdao, China, July 23, 2021

2020
Detecting Fake Mobile Crowdsensing Tasks: Ensemble Methods Under Limited Data.
IEEE Veh. Technol. Mag., 2020

Ensemble Learning Against Adversarial AI-driven Fake Task Submission in Mobile Crowdsensing.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Deep Belief Network-based Fake Task Mitigation for Mobile Crowdsensing under Data Scarcity.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019
Machine Learning-based Prevention of Battery-oriented Illegitimate Task Injection in Mobile Crowdsensing.
Proceedings of the ACM Workshop on Wireless Security and Machine Learning, 2019

Invited Paper: AI-Based Security Design of Mobile Crowdsensing Systems: Review, Challenges and Case Studies.
Proceedings of the 13th IEEE International Conference on Service-Oriented System Engineering, 2019

Per-Dereference Verification of Temporal Heap Safety via Adaptive Context-Sensitive Analysis.
Proceedings of the Static Analysis - 26th International Symposium, 2019

Self Organizing Feature Map for Fake Task Attack Modelling in Mobile Crowdsensing.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Deep Learning-Based Detection of Fake Task Injection in Mobile Crowdsensing.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2016
What You See Isn't Always What You Get: A Measurement Study of Usage Fraud on Android Apps.
Proceedings of the 6th Workshop on Security and Privacy in Smartphones and Mobile Devices, 2016

2015
DexHunter: Toward Extracting Hidden Code from Packed Android Applications.
Proceedings of the Computer Security - ESORICS 2015, 2015


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