Rui Zhao

Orcid: 0000-0003-2993-2023

Affiliations:
  • University of Oxford, UK
  • University of Edinburgh, School of Informatics, UK (former)


According to our database1, Rui Zhao authored at least 11 papers between 2019 and 2024.

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

Timeline

2019
2020
2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Trouble in Paradise? Understanding Mastodon Admin's Motivations, Experiences, and Challenges Running Decentralised Social Media.
Proc. ACM Hum. Comput. Interact., 2024

"They've Stolen My GPL-Licensed Model!": Toward Standardized and Transparent Model Licensing.
CoRR, 2024

Perennial Semantic Data Terms of Use for Decentralized Web.
Proceedings of the ACM on Web Conference 2024, 2024

SocialGenPod: Privacy-Friendly Generative AI Social Web Applications with Decentralised Personal Data Stores.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Me want cookie! Towards automated and transparent data governance on the Web.
Proceedings of the 1st NeXt-generation Data Governance Workshop 2024 co-located with 20th International Conference on Semantic Systems (SEMANTiCS 2024), 2024

2023
Decentralised, Scalable and Privacy-Preserving Synthetic Data Generation.
CoRR, 2023

Libertas: Privacy-Preserving Computation for Decentralised Personal Data Stores.
CoRR, 2023

'You are you and the app. There's nobody else.': Building Worker-Designed Data Institutions within Platform Hegemony.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2021
Dr.Aid: Supporting Data-governance Rule Compliance for Decentralized Collaboration in an Automated Way.
Proc. ACM Hum. Comput. Interact., 2021

An Automated Framework for Supporting Data-Governance Rule Compliance in Decentralized MIMO Contexts.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2019
Towards a Computer-Interpretable Actionable Formal Model to Encode Data Governance Rules.
Proceedings of the 15th International Conference on eScience, 2019


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