Georgia Tech · Electrical & Computer Engineering

Jiayi Qian.

钱家熠 / ECE Ph.D. student

I work at the intersection of AI systems and computer architecture.

I'm a Ph.D. student at the Georgia Institute of Technology, working on efficient computing for emerging AI and AI-driven architecture and systems design.

Advised by Prof. Tushar Krishna and Prof. Zishen Wan .

A fluffy cat with bright blue eyes
A little curiosity goes a long way.

01 / Research interests

AI & systems.
In both directions.

I study how to make emerging AI efficient, and how AI can help us design better computing systems.

Sys/Arch for AI

Efficient Systems and Architectures for Emerging AI

System and architecture co-design for agentic, embodied, and neuro-symbolic AI: from serving and workload characterization to hardware acceleration.

  • Agentic AI
  • Embodied AI
  • Neuro-Symbolic AI
Explore related work
AI for Sys/Arch

AI-Driven Computer Architecture and Systems Design

Using AI to guide the design of computer architectures and systems, including agent-driven exploration of accelerator designs.

  • AI for Architecture
  • Design Space Exploration
Explore related work

02 / Background

Along the way.

Research, education, and industry.

Education

  1. Aug. 2025 — Present

    Georgia Institute of Technology

    Ph.D. in Electrical and Computer Engineering

    Advisors: Tushar Krishna and Zishen Wan

  2. Aug. 2023 — May 2025

    Georgia Institute of Technology

    M.S. in Computer Science

    Advisors: Yingyan (Celine) Lin and Tushar Krishna

  3. Aug. 2019 — Jul. 2023

    Tsinghua University

    B.S. in Electronic Information Science and Technology

    Department of Electronic Engineering · Visual SLAM research with Prof. Gang Liu

Industry experience

Sep. 2026 — Dec. 2026

Google

Student Researcher

Hardware-Aware Neural Architecture Search

Mentor: Anish Prabhu

Research & teaching

Aug. 2025 — Present

Graduate Research Assistant

Georgia Tech · System/architecture co-design for AI; AI for architecture and systems.

Mentors: Tushar Krishna and Zishen Wan

Oct. 2023 — May 2024

Research Intern

Georgia Tech · Efficient LLM and diffusion algorithms.

Mentor: Yingyan (Celine) Lin

Jan. 2024 — May 2024

Teaching Assistant

Georgia Tech · CSE 6140 Algorithms.

Instructor: Xiuwei Zhang

03 / Updates

Recently.

  • May. 2026 Paper Our work DyServe was accepted to SCALE @ ICML 2026 and Architecture 2.0 @ ISCA 2026.
  • Feb. 2026 Paper Our work Towards System-2 AI was accepted to ISPASS 2026.
  • Nov. 2025 Paper Our work REASON was accepted to HPCA 2026.
Earlier updates
  • Aug. 2025 I started my Ph.D. at Georgia Tech Synergy Lab, advised by Prof. Tushar Krishna.
  • Jun. 2025 Paper Our work on diffusion model deployment was accepted to ICCV 2025.
  • Jun. 2025 Paper Our work Compositional AI Beyond LLMs was accepted to ASPLOS 2026.
  • May. 2025 I received my M.S. degree in Computer Science from Georgia Tech.
  • Mar. 2025 Paper Our work Generative AI in Embodied Systems was accepted to ISPASS 2025.
  • Feb. 2025 Paper Our work ReCA on cooperative embodied AI was accepted to ASPLOS 2025.
  • Sep. 2024 Paper Our work AmoebaLLM on efficient LLM deployment was accepted to NeurIPS 2024.

04 / Publications & ongoing work

From ideas to systems.

Google Scholar
* Equal contribution

Work in progress

Submission currently under review.