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.
Isabel Wagner and Yuchen Zhao. Using Metrics Suites to Improve the Measurement of Privacy in Graphs. arXiv preprint arXiv:1905.13264.
Yuchen Zhao and Isabel Wagner. On the Strength of Privacy Metrics for Vehicular Communication. IEEE TMC, vol. 18(2), pp. 390-403, February 2019.
Yuchen Zhao, Tom Blount, Laura Koesten, and Elena Simperl. Structured and uncertainty-aware data storytelling. In CHI ’19 Workshop on HCI for Accurate, Impartial and Transparent Journalism: Challenges and Solutions, Glasgow, UK, May 2019.
Yuchen Zhao and Isabel Wagner. POSTER: Evaluating Privacy Metrics for Graph Anonymization and De-anonymization. Proceedings of ASIA CCS 2018, Incheon, Republic of Korea, June 2018.
Yuchen Zhao. Recommending Privacy Preferences in Location-Sharing Services. School of Computer Science, University of St Andrews, June 2017. (PhD Thesis)
Yuchen Zhao, Juan Ye, and Tristan Henderson. A Robust Reputation-Based Location-Privacy Recommender System Using Opportunistic Networks. Proceedings of MobiCASE 2016, pages 62-73, Cambridge, UK, November 2016.
Yuchen Zhao, Juan Ye, and Tristan Henderson. The Effect of Privacy Concerns on Privacy Recommenders. Proceedings of the ACM IUI 2016, pages 218-227, Sonoma, CA, USA, March 2016.
Yuchen Zhao. Usable Privacy in Location-Sharing Sevices. Companion Publications of the ACM IUI 2016, Sonoma, CA, USA, March 2016.
Yuchen Zhao, Juan Ye, and Tristan Henderson. Privacy-Aware Location Privacy Preference Recommendations. Proceedings of Mobiquitous 2014, pages 120-129, London, UK, December 2014.
Yuchen Zhao, Juan Ye, and Tristan Henderson. Recommending Location Privacy Preferences in Ubiquitous Computing. Proceedings of the ACM WiSec 2014, Oxford, UK, July 2014. (Poster Paper).
Zhao Y, Wagner I, 2019, On the Strength of Privacy Metrics for Vehicular Communication, Ieee Transactions on Mobile Computing, Vol:18, ISSN:1536-1233, Pages:390-403
Zhao Y, Wagner I, 2018, POSTER, the 2018, ACM Press
Zhao Y, 2016, Usable Privacy in Location-Sharing Services, Companion Publication of the 21st International Conference, ACM Press
Zhao Y, Ye J, Henderson T, 2016, The Effect of Privacy Concerns on Privacy Recommenders, the 21st International Conference, ACM Press
et al., 2020, TBFY/storytelling: version 0.1, v.0.1