Jiayi Qian (钱家熠)

I'm now a first-year ECE Ph.D. student in Synergy Lab at Georgia Institute of Technology, advised by Prof. Tushar Krishna on efficient compositional AI systems and ML accelerator design.

Prior to that, I obtained my M.S. degree in Computer Science, also from Georgia Institute of Technology, where I worked with Prof. Yingyan (Celine) Lin on efficient ML algorithms. I received my Bachelor's degree in Electronic Engineering from Tsinghua University, advised by Prof. Gang Liu on visual SLAM.

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Research Interests

I'm interested in efficient machine learning algorithms and system design, along with hardware accelerator design. I'm particularly interested in Embodied AI and Neuro-Symbolic AI systems.

  • Embodied AI — Algorithm, System, and Architecture for Embodied AI
    ISPASS'25 ASPLOS'25
  • Neuro-Symbolic AI — Architecture and System support for Neuro-Symbolic AI
    HPCA'26 ASPLOS'26
  • Efficient AI Algorithms — Compression and Efficient Inference for Generative Models
    ICCV'25 NeurIPS'24

News

  • Nov. 2025 Paper Our work REASON accepted to HPCA 2026.
  • Aug. 2025 I start my Ph.D. at Georgia Tech Synergy Lab, advised by Prof. Tushar Krishna.
  • Jun. 2025 Paper Our work on diffusion model deployment accepted to ICCV 2025.
  • Jun. 2025 Paper Our work Compositional AI Beyond LLMs accepted to ASPLOS 2026.
  • May. 2025 I receive my M.S. degree in Computer Science from Georgia Tech.
  • Mar. 2025 Paper Our work Generative AI in Embodied Systems accepted to ISPASS 2025.
  • Feb. 2025 Paper Our work ReCA on cooperative embodied AI accepted to ASPLOS 2025.
  • Sep. 2024 Paper Our work AmoebaLLM on efficient LLM deployment accepted to NeurIPS 2024.

Selected Publications

  (*: Equal Contributions)
REASON
REASON: Accelerating Probabilistic Logical Reasoning for Neuro-Symbolic Cognitive Intelligence
Zishen Wan, Che-Kai Liu, Jiayi Qian, Hanchen Yang, Arijit Raychowdhury, Tushar Krishna
HPCA 2026
Paper Slide Talk Tutorial
NSAI teaser
Compositional AI Beyond LLMs: System Implications of Neuro-Symbolic-Probabilistic Architectures
Zishen Wan, Hanchen Yang, Jiayi Qian, Ritik Raj, Joongun Park, Chenyu Wang, Arijit Raychowdhury, Tushar Krishna
ASPLOS 2026
🏆 Best Paper Award, DARPA SRC JUMP 2.0, 2025
Paper
Diffusion deployment
Fewer Denoising Steps or Cheaper Per-Step Inference: Towards Compute-Optimal Diffusion Model Deployment
Zhenbang Du, Yonggan Fu, Lifu Wang, Jiayi Qian, Xiao Luo, Yingyan (Celine) Lin
ICCV 2025
Paper
Embodied systems
Generative AI in Embodied Systems: System-Level Analysis of Performance, Efficiency and Scalability
Zishen Wan, Jiayi Qian, Yuhang Du, Jason Jabbour, Yilun Du, Yang (Katie) Zhao, Arijit Raychowdhury, Tushar Krishna, Vijay Janapa Reddi
ISPASS 2025
Paper
ReCA
ReCA: Integrated Acceleration for Real-Time and Efficient Cooperative Embodied Autonomous Agents
Zishen Wan, Yuhang Du, Mohamed Ibrahim, Jiayi Qian, Jason Jabbour, Yang (Katie) Zhao, Tushar Krishna, Arijit Raychowdhury, Vijay Janapa Reddi
ASPLOS 2025
⭐ Selected as Industry-Academia Partnership (IAP) Highlight
Paper Slide Slide (long) Poster Media
AmoebaLLM
AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment
Yonggan Fu, Jiayi Qian*, Zhongzhi Yu*, Junwei Li*, Yongan Zhang, Dachuan Shi, Xiangchi Yuan, Roman Yakunin, Yingyan (Celine) Lin
NeurIPS 2024
Paper

Teaching Experience

  • Teaching Assistant — CSE 6140 Algorithms, Georgia Tech, Spring 2024. Instructor: Prof. Xiuwei Zhang.

Design and source code from jonbarron.