Shuyuan ZHENG

Shuyuan ZHENG

I am a specially-appointed Assistant Professor with the Graduate School of Information Science and Technology, Osaka University. I received the Ph.D. degree in informatics from Kyoto University in 2023. My current research interest lies at the intersection of computer science, law, and economics, with a particular focus on data economy, data privacy, and computational law.

Email: zheng [at] ist.osaka-u.ac.jp

Google Scholar

Research Interests

  • Data Economy
  • Data Privacy
  • Computational Social Science
  • Trustworthy Data Science

Publications

  • Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa. Secure Shapley Value for Cross-Silo Federated Learning. Proceedings of the VLDB Endowment, 16(7): 1657–1670, 2023. (VLDB 2023)
  • Tao Huang, Shuyuan Zheng. Using Differential Privacy to Define Personal, Anonymous, and Pseudonymous Data. IEEE Access, vol. 11, pp. 109225–109236, 2023.
  • Yoko Konishi, Ryoya Shibaike, Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa. Legal Issues of Differential Privacy: Practical Use in U.S. Census. Information Network Law Review, vol. 22, 2023. (in Japanese)
  • Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa, Huizhong Li, Yan Qiang. FL-Market: Trading Private Models in Federated Learning. Proceedings of The 2022 IEEE International Conference on Big Data, pp. 1525–1534, 2022. (IEEE BigData 2022, regular paper, top-10 best paper)
  • Wei Kun Kong, Shuyuan Zheng, Minh Le Nguyen, Qiang Ma. Diversity-Oriented Route Planning for Tourists. Proceedings of The 33rd International Conference on Database and Expert Systems Applications, pp. 243–255, 2022. (DEXA 2022, regular paper)
  • Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa. Money Cannot Buy Everything: Trading Mobile Data with Controllable Privacy Loss. Proceedings of The 21st IEEE International Conference on Mobile Data Management, pp. 29–38, 2020. (MDM 2020, regular paper)

Academic Service

PC member:

  • International Conference on Information and Knowledge Management (CIKM) 2024.
  • IEEE International Conference on Big Data (BigData) 2023, 2024.

Journal Reviewer:

  • IEEE Transactions on Dependable and Secure Computing (TDSC)
  • IEEE Transactions on Communications (TCOM)

(Updated on April 5, 2024.)