Jiayi Qian

I'm now a first-year Ph.D. student in Electical and Computer Engineering 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 have worked closely with Prof. Yingyan (Celine) Lin on Efficient Machine Learning algorithms. I obtained my Bachelor degree in Electronic Engineering from Tsinghua University, advised by Prof. Gang Liu on visual SLAM.

Email / CV / Google Scholar / Linkedin /

Research

I'm interested in efficient machine learning algorithm and system design along with hardware accelerator design. I'm particularly interested in Embodied AI and Neuro-Symbolic AI systems. My publications are listed below.

	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 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) , 2025 Paper /
	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 ACM Inter Conf on Architectural Support for Programming Languages and Operating Systems (ASPLOS) , 2025 Paper /
	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 The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS)*, 2024 Paper /

Teaching Experience

Teaching Assistant CSE 6140 Comp Sci&Engr Algorithms, Georgia Tech, 2024 Spring, instructor: Prof. Xiuwei Zhang.

Design and source code from jonbarron.