People

Mingjie Liu

Mingjie Liu is currently a Research Scientist at NVIDIA, where he actively conduct research on Electronic Design Automation. He received his PhD degree in electrical and computer engineering from the The University of Texas at Austin in 2022. His research interest include applied machine learning for design automation and design automation for analog and mixed-signal integrated circuits.

Research Area(s)
Artificial Intelligence and Machine Learning
Circuits and VLSI Design
Main Field of Interest
Circuits and VLSI Design
Google Scholar
https://scholar.google.com/citations?user=-v5DbrMAAAAJ&hl=en&oi=ao

Publications

2022

An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design
Mingjie Liu, Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Selim Dogru, Anima Anandkumar, David Z. Pan, Brucek Khailany, Mark Ren
Workshop on ML for Systems at NeurIPS
Why are Graph Neural Networks Effective for EDA Problems?
Mark Ren, Siddhartha Nath, Yanqing Zhang, Hao Chen, Mingjie Liu
2022 International Conference on Computer-Aided Design