Imperial College London

DrYuchenZhao

Faculty of EngineeringDyson School of Design Engineering

Research Associate
 
 
 
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Contact

 

yuchen.zhao19 Website

 
 
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Location

 

ObservatorySouth Kensington Campus

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Summary

 

Summary

I am a research associate in the Dyson School of Design Engineering at Imperial College London.

My research revolves around issues between humans and their data, such as how to help people manage the access to their data, how to evaluate their experience in their interaction with data, and how to use metrics to quantify data privacy. Currently I am focusing on the balance between privacy and utility in data analysis.

Personal website: https://yuchenzhao.github.io/

PUBLICATIONS

Google Scholar

Yuchen Zhao, Hanyang Liu., Honglin Li, Payam Barnaghi, and Hamed Haddadi. 2020. Semi-supervised Federated Learning for Activity Recognition. arXiv preprint arXiv:2011.00851

Yuchen Zhao, Hamed Haddadi, Severin Skillman, Shirin Enshaeifar, and Payam Barnaghi. 2020. Privacy-preserving activity and health monitoring on databox. In Proceedings of the Third ACM International Workshop on Edge Systems, Analytics and Networking (EdgeSys '20). Association for Computing Machinery, New York, NY, USA, 49–54. DOI:10.1145/3378679.3394529

Yuchen Zhao and Isabel Wagner. 2020. Using Metrics Suites to Improve the Measurement of Privacy in Graphs. In IEEE Transactions on Dependable and Secure Computing. DOI: 10.1109/TDSC.2020.2980271

Yuchen Zhao and Isabel Wagner. 2019. On the Strength of Privacy Metrics for Vehicular Communication. In IEEE Transactions on Mobile Computing, vol. 18, no. 2, pp. 390-403, 1 Feb. 2019. DOI: 10.1109/TMC.2018.2830359

Publications

Journals

Zhao Y, Barnaghi P, Haddadi H, 2022, Multimodal Federated Learning on IoT Data, Proceedings - 7th Acm/ieee Conference on Internet of Things Design and Implementation, Iotdi 2022, Pages:43-54

Zhao Y, Wagner I, 2022, Using Metrics Suites to Improve the Measurement of Privacy in Graphs, Ieee Transactions on Dependable and Secure Computing, Vol:19, ISSN:1545-5971, Pages:259-274

Conference

Zhao Y, Afzal SS, Akbar W, et al., 2022, Towards battery-free machine learning and inference in underwater environments, HotMobile '22: The 23rd International Workshop on Mobile Computing Systems and Applications, ACM, Pages:29-34

Zhao Y, Haddadi H, Skillman S, et al., 2020, Privacy-preserving Activity and Health Monitoring on Databox, 3rd ACM International Workshop on Edge Systems, Analytics and Networking (EdgeSys), ASSOC COMPUTING MACHINERY, Pages:49-54

Software

Blount T, Zhao Y, Yedro F, et al., 2020, TBFY/storytelling: version 0.1, v.0.1

More Publications