Mobile computing

Our work has considered a range of issues in mobile computing, from processing visual information on mobile devices, to reliably programming them, and leverage cloud and edge resources for applications.

  1. SoCC
    Scrooge: A Cost-Effective Deep Learning Inference System
    Yitao Hu, Rajrup Ghosh, and Ramesh Govindan
    In SoCC ’21: ACM Symposium on Cloud Computing, Seattle, WA, USA, November 1 - 4, 2021 2021
  2. IoTDI
    Rim: Offloading Inference to the Edge
    Yitao Hu, Weiwu Pang, Xiaochen Liu, and 4 more authors
    In Proceedings of the 6th ACM/IEEE Conference on Internet of Things Design and Implementation, 2021 2021
  3. Middleware
    Olympian: Scheduling GPU Usage in a Deep Neural Network Model Serving System
    Yitao Hu, Swati Rallapalli, Bongjun Ko, and 1 more author
    In Proceedings of the 19th International Middleware Conference 2018
  4. MobiSys
    Gnome: A Practical Approach to NLOS Mitigation for GPS Positioning in Smartphones
    Xiaochen Liu, Suman Nath, and Ramesh Govindan
    In Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services (Mobisys) 2018
  5. Ubicomp
    ALPS: Accurate Landmark Positioning at City Scales
    Yitao Hu, Xiaochen Liu, Suman Nath, and 1 more author
    In the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016) se 2016
  6. MobiSys
    Efficient Privilege De-Escalation for Ad Libraries in Mobile Apps
    Bin Liu, Bin Liu, Hongxia Jin, and 1 more author
    In The 13th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys 2015) ma 2015
  7. MobiSys
    FlexiWeb: Network-Aware Compaction for Accelerating Mobile Web Transfers
    S. Singh, H. Madhyastha, S. Krishnamurthy, and 1 more author
    In Proc. ACM MobiCom ma 2015