Yaotian Liu

PhD Student
👋 Hi! I am Yaotian Liu, a second year PhD Student in Computer Engineering at Arizona State University .

My interests include computer architecture, digital circuit design, robotics, and machine learning. Currently, I am focusing on efficient computing for robotics workloads and collaborating with Intel on a tapeout project.

I enjoy learning new frameworks, languages, algorithms, and tools. I am interested in open-source projects and have contributed to several projects on GitHub.

News

Dec 12, 2024 Served as a program committee member for HPCA 2025 Aritifact Evaluation (AE).
Jun 22, 2024 Joined DAC 2024 as a DAC Young Fellow.
Jun 23, 2023 Graduated from Shanghai Jiao Tong University with a Bachelor’s degree in Microelectronics with Outstanding Graduate Award.
Mar 23, 2023 Get admitted to ASU, PhD program in Computer Engineering, with a full scholarship.

    

Publications

  1. CLAIRE: Composable Chiplet Libraries for AI Inference
    Pragnya Sudershan Nalla, Emad Haque, Yaotian Liu, and 4 more authors
    In 2025 Design Automation and Test in Europe Conference (DATE), 2025
  2. Skip-SCAR: Hardware-Friendly High-Quality Embodied Visual Navigation
    Yaotian Liu, Yu Cao, and Jeff Zhang
    arXiv preprint arXiv:2405.14154, 2024
    Webpage PDF
  3. Exploiting 2.5D/3D Heterogeneous Integration for AI Computing
    Zhenyu Wang, Jingbo Sun, Alper Goksoy, and 8 more authors
    In 2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC), 2024
  4. FEEP: Functional ECO Synthesis with Efficient Patch Minimization
    Yaotian Liu, Yuhang Zhang, Qing Zhang, and 2 more authors
    In 2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2023
    PDF
  5. Advanced Large Language Model (LLM)-Driven Verilog Development: Enhancing Power, Performance, and Area Optimization in Code Synthesis
    Kiran Thorat, Jiahui Zhao, Yaotian Liu, and 5 more authors
    CoRR, 2023
  6. Advanced language model-driven verilog development: Enhancing power, performance, and area optimization in code synthesis
    Kiran Thorat, Jiahui Zhao, Yaotian Liu, and 5 more authors
    arXiv preprint arXiv:2312.01022, 2023