Zhongzhi Yu  

 



  ![](/sites/default/files/person/Zhongzhi_Yu.jpg)

  

 Zhongzhi Yu received his Ph.D. in Computer Science from Georgia Tech in 2025, advised by Dr. Yingyan (Celine) Lin. He holds an M.S. from Columbia University and a B.Eng. from Zhejiang University. His research focuses on two primary areas: (1) developing adaptation techniques to enable hardware-aware AI design and deployment, with recent work in RTL coding and broader interests in hardware design automation; and (2) creating efficient methods to bring advanced AI capabilities to everyday devices, with experience in large language models, vision-language models, and vision transformers. He has authored over 20 publications in top-tier conferences spanning AI and design automation, including ICML, NeurIPS, ICLR, CVPR, DAC, and ICCAD.



   Research Area(s)

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

 

 

  

 Main Field of Interest

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

 

  

 Google Scholar

<https://scholar.google.com/citations?user=KjvcaBQAAAAJ>

 

  

 

 

 



 ### Publications

 

### 2025 

[Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems](/index.php/publication/2025-06_spec2rtl-agent-automated-hardware-code-generation-complex-specifications-using)

[Zhongzhi Yu](/index.php/person/zhongzhi-yu), [Mingjie Liu](/index.php/person/mingjie-liu), Michael Zimmer, Yingyan (Celine) Lin, Yong Liu, Mark Haoxing Ren



[IEEE International Conference on LLM-Aided Design, 2025](https://iclad.ai/)