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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

10/18/2021 Dr. Wang will serve as a PC member of the 31st ACM The Web Conference 2022 (TheWebConf).
08/27/2021 Our work “Siren: Byzantine-robust Federated Learning via Proactive Alarming” has been accepted by SoCC 2021.
07/22/2021 Our work “Self-Supervised Vessel Segmentation via Adversarial Learning” has been accepted by ICCV 2021.

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