• J. Zhao. “Optimisation of a Modern Numerical Library: a Bottom-Up Approach”. PhD Thesis. 2020.

  • J. Zhao. “Executing Owl Computation on GPU and TPU.” OCaml 2019. [talk]

  • J. Zhao, T. Tiplea, R. Mortier, J. Crowcroft, and L. Wang. “Data Analytics Service Composition and Deployment on Edge Devices.” Big-DAMA workshop, SIGCOMM’18 [paper]

  • J. Zhao, R. Mortier, J. Crowcroft, and L. Wang. “Privacy-preserving Machine Learning Based Personal Data Analytics System.” AAAI/ACM conference on Artificial Intelligence, Ethics, and Society (AIES’18) [paper]

  • J. Zhao, R. Mortier, J. Crowcroft, and L. Wang. “User-centric Composable Services for Personal Data Analytics.” SOSP’17 [paper]

  • J. Zhao. “Towards Security in Distributed Home System.” EuroSys’17 Doctoral Workshop [paper] [slides]

  • Richard Moriter et. al. “Personal Data Management with the Databox: What’s Inside the Box?” CAN’16 [paper]

  • Gao, H., Liu, C.H., Wang, W., Zhao, J., Song, Z., Su, X., Crowcroft, J. and Leung, K.K., 2015. A survey of incentive mechanisms for participatory sensing. IEEE Communications Surveys & Tutorials, 17(2), pp.918-943. [paper]

  • Zhao, J., Liu, C. H., Chen, M., Liu, X., & Leung, K. K. (2015, June). Energy-efficient dynamic event detection by participatory sensing. In 2015 IEEE International Conference on Communications (ICC) (pp. 3180-3185). [paper]