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.


12/09/2022 :trophy: Dr. Wang was awarded as an Excellent Reviewer for the IEEE Transactions on Network Science & Engineering in 2022.
11/19/2022 :pencil: Two papers on Federated Learning are accepted by AAAI 2023.
11/04/2022 :speech_balloon: Dr. Wang will serve as the online session Chair for ACM SoCC 2022 Serverless Session, Nov 8-10, 2022.
08/25/2022 :speech_balloon: Dr. Wang will serve as a TPC member for AAAI 2023 and ACM WSDM 2023.
07/12/2022 :trophy: Our proposal for AWS Cloud Credit for Research on serverless computing has been approved. Our thanks to AWS.

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
    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