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We are the Intelligent System (IntelliSys) Lab at the ECE Department of Stevens Institute of Technology. Our research focuses on bridging artificial intelligence (AI) and emerging system architectures by developing efficient, robust algorithms and advancing intelligent, high-performance computing systems. Supported by multiple NSF grants, as well as funding and credits from AWS, NIH AIM-AHEAD, and the Computing Research Association (CRA), our work spans theory, algorithms, and real-world systems. Explore our projects.


News

04/30/2026 :pencil: Three papers have been accepted by ICML 2026! Congratulations to Qingyang!
04/30/2026 :pencil: Our paper “FedCod: An Efficient Coded Communication Protocol for Cross-Silo Federated Learning” has been accepted by ACM/IEEE IWQoS 2026!
04/29/2026 :trophy: We have received a 2026 NSF CISE REU Student Funding of $10K from Computing Research Association (CRA)!
04/14/2026 :pencil: Our paper ``Adaptive Multi-Agent Reinforcement Learning for Electric Vehicle On-Road Charging Optimization Under Dynamic Traffic Conditions’’ has been accepted by Scilight AI Engineering. Congratulations to Shaghayegh!
04/13/2026 :trophy: Dr. Wang received the Stevens 2026 Early Career Award for Research Excellence. Kudos to the supportive Stevens community!
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Selected Publications

  1. EuroSys
    Taming Latency-Memory Trade-Off in MoE-Based LLM Serving via Fine-Grained Expert Offloading
    In Proceedings of ACM European Conference on Computer Systems (EuroSys) 2026
  2. 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
  3. ICLR
    Backdoor Federated Learning by Poisoning Backdoor-Critical Layers
    Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, and Xu Yuan
    In Proceedings of the International Conference on Learning Representations (ICLR) 2024
  4. SC
    Stellaris: Staleness-Aware Distributed Reinforcement Learning with Serverless Computing (Best Student Paper Finalist)
    In Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC) 2024

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