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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

01/13/2022 Our work “Accelerating Serverless Computing by Harvesting Idle Resources” has been accepted by ACM WebConf 2022. Congratulations to Hanfei!
12/22/2021 Dr. Wang received the Single Investigator Award from the Louisiana Materials Design Alliance (LAMDA) Seed Funding 2021-22 for “Optimizing Addictive Manufacturing with Deep Reinforcement Learning.” Thanks to BoR.
12/01/2021 Two papers are accepted by AAAI 2022.

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
    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
  3. WebConf
    Accelerating Serverless Computing by Harvesting Idle Resources
    In Proceedings of the ACM Web Conference (WebConf) 2022
  4. AAAI
    Seizing Critical Learning Periods in Federated Learning
    Gang Yan, Hao Wang, and Jian Li
    In Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI) 2022