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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

02/28/2023 :trophy: Alexander Randall from KST Charter School, advised by Dr. Wang, won 2nd place in the Louisiana Regional Competition. Check our award-winning project!
02/06/2023 :earth_asia: Dr. Wang will serve as the Publicity Chair of the 23rd International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2023).
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.

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
    PDF Slides
  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
    PDF Slides
  3. WebConf
    Accelerating Serverless Computing by Harvesting Idle Resources
    Hanfei Yu, Hao Wang, Jian Li, Xu Yuan, and Seung-Jong Park
    In Proceedings of the ACM Web Conference (WebConf) 2022
    PDF Code Slides
  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
    PDF

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