About

Mingju Liu is currently a PhD student in Computer Engineering, University of Maryland, College Park under the supervision of Prof. Cunxi Yu. His research spans across hardware-software co-design of deep learning algorithms, focusing on Electronic Design Automation (EDA) challenges. He also works on projects in logic synthesis and combinatorial optimization. He received his B.S. degree in 2020 from the University of Electronic Science and Technology of China in Chengdu, China, and his master's degree from Rutgers University in 2021. He was selected into the DAC Young Fellows Program in 2023.

Resume: CV

Education

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

 

Publications

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).

• Differentiable Combinatorial Scheduling at Scale
  Mingju Liu, Yingjie Li*, Jiaqi Yin, Zhiru Zhang, Cunxi Yu
  International Conference on Machine Learning (ICML'24).
  

• 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).

Experience

• Visiting Student, James Cook University NB-IOT Lab, Cairns, Australia 07/2018 - 08/2018