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We are the Intelligent System (IntelliSys) Lab at the ECE Department of Stevens Institute of Technology. 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

12/11/2025 :bookmark: Dr. Wang is invited to give a keynote presentation at 2025-Fall IEEE Metropolitan AI Applications Symposium (METAI-2025-Fall) 12/12/2025 12pm ET on Accelerating Mixture of Experts-Based Large Language Model (LLM) Serving.
12/10/2025 :fireworks: We have successfully hosted DuckAI 2025 Fall: The 2nd iCNS/ECE Symposium on AI Research and Innovations :duck::duck::duck:
12/03/2025 :trophy: Dr. Wang has been elevated to the grade of IEEE Senior Member.
11/25/2025 :pencil: One paper ``PAT: Accelerating LLM Decoding via Prefix-Aware Attention with Resource Efficient Multi-Tile Kernel’’ has been accepted by ASPLOS 2026.
11/23/2025 :pencil: One paper ``Exploring Diffusion Models’ Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks’’ has been accepted by KDD 2026.
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Selected Publications

  1. ASPLOS
    RainbowCake: Mitigating Cold-starts in Serverless with Layer-wise Container Caching and Sharing
    Hanfei Yu, Rohan Basu Roy, Christian Fontenot, Devesh Tiwari, Jian Li, Hong Zhang, Hao Wang, and Seung-Jong Park
    In Proceedings of the ACM Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2024
    PDF Code Slides
  2. 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
    PDF Code Poster
  3. SC
    Stellaris: Staleness-Aware Distributed Reinforcement Learning with Serverless Computing (Best Student Paper Finalist)
    Hanfei Yu, Hao Wang, Devesh Tiwari, Jian Li, and Seung-Jong Park
    In Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC) 2024
    PDF Code Slides
  4. EuroSys
    Taming Latency-Memory Trade-Off in MoE-Based LLM Serving via Fine-Grained Expert Offloading
    Hanfei Yu, Xingqi Cui, Hong Zhang, Hao Wang@Rutgers, and Hao Wang
    Accepted by ACM European Conference on Computer Systems (EuroSys) 2026
    PDF

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