CV

Curriculum vitae of Jiantao Liu.

Contact Information

Name Jiantao Liu
Professional Title Ph.D. Student, ETH Zürich
Email jianliu@ethz.ch
Location Zürich, Switzerland
Website https://qianxu1998.github.io

Professional Summary

Ph.D. student in the DYNAMO group at ETH Zürich, advised by Prof. Dr. Lana Josipović. My research spans high-level synthesis, processing-in-memory, and electronic design automation, with a broader interest in computer architecture and efficient computing systems.

Experience

  • 2026 - present

    Hong Kong

    Research Intern, CPU Architecture Team
    Huawei Hong Kong Research Center (HKRC)
    System performance engineering for next-generation CPU architectures.
    • Evaluating the impact of new Arm ISA extensions and the Scalable Matrix Extension (SME) on computational kernels.
    • Analyzing agentic AI workloads to guide next-generation CPU architecture design.
  • 2024

    Zürich, Switzerland

    Teaching Assistant
    DYNAMO group, ETH Zürich
    Synthesis of Digital Circuits (Spring 2024).

Education

  • 2023 - present

    Zürich, Switzerland

    Ph.D.
    ETH Zürich
    Electrical Engineering and Information Technology
    • Advisor: Prof. Dr. Lana Josipović (DYNAMO group).
    • Research focus: processing-in-memory, electronic design automation, tensor kernel mapping.
  • 2022 - 2023

    San Diego, U.S.A.

    Ph.D. (transferred to ETH Zürich)
    University of California San Diego
    Computer Engineering
    • GPA: 4.0/4.0.
  • 2020 - 2022

    Zürich, Switzerland

    M.Sc.
    ETH Zürich
    Electrical Engineering and Information Technology
    • GPA: 5.25/6.00.
  • 2016 - 2020

    Wuhan, China

    B.Eng.
    Huazhong University of Science and Technology
    Electrical and Electronics Engineering
    • GPA: 3.92/4.00.

Awards

  • 2026
    Best Student Paper Award
    International Workshop on Logic and Synthesis (IWLS 2026)

    For GLOW: Glitch Optimization with Retiming for Low Power.

  • 2025
    Distinguished Artifact Award
    International Symposium on Computer Architecture (ISCA 2025)

    For OptiPIM: Optimizing Processing In-Memory Acceleration Using Integer Linear Programming.

Publications

Professional Service

  • Journal reviewer: IEEE TCAD, IEEE TPDS.

Skills

Programming & HDLs: C/C++, Python, OCaml, SQL, P4, Scala, SystemVerilog, Chisel, HTML, LabVIEW, PyTorch, TensorFlow
Tools: LLVM, MLIR, Synopsys Design Compiler, Fusion Compiler, Vivado, Vitis, Cadence Genus, Innovus, Joules, Calibre, OpenROAD, MySQL, MongoDB, Docker, OpenCV, Cerebras SDK

Languages

Chinese : Native speaker
English : Fluent