About

Mingju Liu is currently a PhD student in Computer Engineering at the University of Maryland, College Park, supervised by Prof. Cunxi Yu. His research focuses on the hardware-software co-design of deep learning algorithms for addressing challenges in Electronic Design Automation (EDA). His research projects span across logic synthesis, high-level synthesis, and combinatorial optimization.

Mingju received his M.S. degree from Rutgers University in 2021 and his B.S. degree from the University of Electronic Science and Technology of China in 2020. He was selected for the DAC Young Fellows Program in 2023 and received the ICCAD Student Scholar Travel Grant in 2024.

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Education

2023 - present
Doctor of Philosophy, Computer Engineering
University of Maryland, College Park
2022 - 2023
Doctor of Philosophy, Computer Engineering
University of Utah
2019 - 2022
M.S., Electrical and Computer Engineering
Rutgers University
2016 - 2020
B.S., Electrical and Computer Engineering
University of Electronic Science and Technology of China

Experience

05/2025 - 08/2025
Graduate Intern
Cadence Design Systems, San Jose, CA
07/2018 - 08/2018
Visiting Student
James Cook University NB-IOT Lab, Cairns, Australia

Publications

2025

SGSS: Streaming 6-DoF Navigation of Gaussian Splat Scenes
Mufeng Zhu, Mingju Liu, Cunxi Yu, Cheng-Hsin Hsu, Yao Liu
ACM 16th 2025 Multimedia Systems Conference (MMsys'25)

2024

MapTune: Advancing ASIC Technology Mapping via Reinforcement Learning Guided Library Tuning
Mingju Liu, Daniel Robinson, Yingjie Li, Cunxi Yu
IEEE/ACM 43st 2024 International Conference on Computer-Aided Design (ICCAD'24)
MapTune visualization
Differentiable Combinatorial Scheduling at Scale
Mingju Liu, Yingjie Li*, Jiaqi Yin, Zhiru Zhang, Cunxi Yu
International Conference on Machine Learning (ICML'24)
Differentiable Scheduler visualization
DAG-aware Synthesis Orchestration
Yingjie Li, Mingju Liu, Alan Mishchenko, Haoxing Ren, Cunxi Yu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD)
orchestrate@ABC

2023

Verilog-to-PyG -- A Framework for Graph Learning and Augmentation on RTL Designs
Yingjie Li, Mingju Liu, Alan Mishchenko, Cunxi Yu
IEEE/ACM 42st 2023 International Conference on Computer-Aided Design (ICCAD'23)