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We are the Intelligent System (IntelliSys) Lab in the Computer Science Engineering Division. Our research bridges artificial intelligence (AI) and novel system architectures by designing efficient and robust AI algorithms and developing intelligent and high-performance computing systems. Check our roadmap.


News

04/16/2024 :trophy: Our project “Harvesting Idle Resources Safely and Timely for Large-scale AI Applications in High-Performance Computing Systems” have been funded by the NSF OAC Core grant. Thanks NSF!
04/16/2024 :trophy: Our project “AI Deployment for Athletes, industry, and Military Optimal Performance and Safety” have received the LSU Provost’s Fund for Innovation in Research—Big Idea Research Grants!
04/02/2024 :calendar: We will host TigerAI: LSU/IBM AI security summer boot camp. Sign up before 4/19th 5pm!
03/14/2024 :trophy: We have received another round of AWS Public Sector Cloud Credit for Research program. Kudos to AWS!
02/02/2024 :tada: Dr. Wang received the Distinguished Member of IEEE INFOCOM 2024 TPC recognition.
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Selected Publications

  1. HPDC
    Libra: Harvesting Idle Resources Safely and Timely in Serverless Clusters
    In Proceedings of the International Symposium on High-Performance Parallel and Distributed Computing (HPDC) 2023
  2. KDD
    CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning
    In Proceedings of the ACM Special Interest Group on Knowledge Discovery and Data Mining (KDD) 2023
  3. ASPLOS
    RainbowCake: Mitigating Cold-starts in Serverless with Layer-wise Container Caching and Sharing
    In Proceedings of the ACM Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2024
  4. ICLR
    Backdoor Federated Learning by Poisoning Backdoor-Critical Layers
    Accepted by the International Conference on Learning Representations (ICLR) 2024

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