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We are the Intelligent System (IntelliSys) Lab in the Computer Science Engineering Division of Louisiana State University (LSU). Our research bridges machine learning and distributed computing systems by applying innovative machine learning techniques to understand the dynamic performance of distributed computing systems and building new systems with intelligent scheduling algorithms.


News

07/22/2021 Our work “Self-Supervised Vessel Segmentation via Adversarial Learning” has been accepted by ICCV 2021.
07/06/2021 “FaaSRank: Learning to Schedule Functions in Serverless Platforms” has been accepted by IEEE ACSOS 2021, congratulations to Hanfei!
06/05/2021 Our work “SpaceDML: Enabling Distributed Machine Learning in Space Information Networks” has been accepted by IEEE Network.
04/29/2021 Our work “Themis: A Fair Evaluation Platform for Computer Vision Competitions” has been accepted by IJCAI-21.
04/10/2021 Hello World from the IntelliSys Lab website :smile:.

Selected Publications

  1. SoCC
    Dynamic and Decentralized Global Analytics via Machine Learning
    Hao Wang, Di Niu, and Baochun Li
    In Proceedings of the ACM Symposium on Cloud Computing 2018
  2. INFOCOM
    Distributed Machine Learning with a Serverless Architecture
    Hao Wang, Di Niu, and Baochun Li
    In IEEE International Conference on Computer Communications (INFOCOM) 2019
  3. INFOCOM
    Optimizing Federated Learning on Non-IID Data with Reinforcement Learning
    Hao Wang, Zakhary Kaplan, Di Niu, and Baochun Li
    In IEEE International Conference on Computer Communications (INFOCOM) 2020