Chenhui Deng  

 



  ![](/sites/default/files/person/IMG_1670-transformed.jpeg)

  

 Chenhui Deng is currently a Research Scientist at NVIDIA, where he focuses on leveraging graph-based machine learning techniques for circuit problems. Chenhui earned his PhD degree in Electrical and Computer Engineering from Cornell University in 2024. His research area is in the interdisciplinary field of Machine Learning, Spectral Graph Theory, Electronic Design Automation, and VLSI.



   Research Area(s)

[Artificial Intelligence and Machine Learning ](/research-area/machine-learning-artificial-intelligence)

[Circuits and VLSI Design](/research-area/circuits)

 

 

  

 Main Field of Interest

[Artificial Intelligence and Machine Learning ](/research-area/machine-learning-artificial-intelligence)

 

  

 Google Scholar

[https://scholar.google.com/citations?user=jOFdYeUAAAAJ&hl=en](https://scholar.google.com/citations?user=jOFdYeUAAAAJ&hl=en)

 

  

 

 

 



 ### Publications

 

### 2025 

[Marco: Configurable Graph-Based Task Solving and Multi-AI Agents Framework for Hardware Design](/publication/2025-06_marco-configurable-graph-based-task-solving-and-multi-ai-agents-framework)

[Chia-Tung (Mark) Ho](/person/chia-tung-mark-ho), Jing Gong, [Yunsheng Bai](/person/yunsheng-bai), [Chenhui Deng](/person/chenhui-deng), Mark Haoxing Ren, [Brucek Khailany](/person/brucek-khailany)