Rongjian Liang  

 



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

  

 I am currently a research scientist in the Design Automation Research Group at NVIDIA. Prior to that, I received my PhD degree from Texas A&M University, supervised by Prof. Jiang Hu. My research interests mainly lie in ML for EDA, EDA for ML and hardware software co-design.



   Research Area(s)

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

 

 

  

 Main Field of Interest

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

 

  

 

 

 



 ### Publications

 

### 2024 

[Learning to Compare Hardware Designs for High-Level Synthesis](/index.php/publication/2024-05_learning-compare-hardware-designs-high-level-synthesis)

[Yunsheng Bai](/index.php/person/yunsheng-bai), Atefeh Sohrabizadeh, Zijian Ding, [Rongjian Liang](/index.php/person/rongjian-liang), Weikai Li, Ding Wang, Mark Haoxing Ren, Yizhou Sun, Jason Cong













[MedPart: A Multi-Level Evolutionary Differentiable Hypergraph Partitioner](/publication/2024-03_medpart-multi-level-evolutionary-differentiable-hypergraph-partitioner)

[Rongjian Liang](/person/rongjian-liang), Anthony Agnesina, Mark Haoxing Ren



[ISPD 2024](https://ispd.cc/ispd2024/index.php)









[GPU/ML-Enhanced Large Scale Global Routing Contest](/publication/2024-03_gpuml-enhanced-large-scale-global-routing-contest)

[Rongjian Liang](/person/rongjian-liang), Anthony Agnesina, [Wen-Hao Liu](/person/wen-hao-liu), Mark Haoxing Ren



[ISPD 2024](https://ispd.cc/ispd2024/index.php)









### 2023 

[CircuitOps: An ML Infrastructure Enabling Generative AI for VLSI Circuit Optimization](/index.php/publication/2023-11_circuitops-ml-infrastructure-enabling-generative-ai-vlsi-circuit-optimization)

[Rongjian Liang](/index.php/person/rongjian-liang), Anthony Agnesina, Geraldo Pradipta, Vidya A. Chhabria, Mark Haoxing Ren



[2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD) ](https://2023.iccad.com/)









[ChipNeMo: Domain-Adapted LLMs for Chip Design](/index.php/publication/2023-10_chipnemo-domain-adapted-llms-chip-design)

[Mingjie Liu](/index.php/person/mingjie-liu), Teo Ene, Robert Kirby, Chris Cheng, [Nathaniel Pinckney](/index.php/person/nathaniel-pinckney), [Rongjian Liang](/index.php/person/rongjian-liang), Jonah Alben, Himyanshu Anand, Sanmitra Banerjee, Ismet Bayraktaroglu, Bonita Bhaskaran, Bryan Catanzaro, Arjun Chaudhuri, Sharon Clay, Bill Dally, Laura Dang, Parikshit Deshpande, Siddhanth Dhodhi, Sameer Halepete, Eric Hill, Jiashang Hu, Sumit Jain, [Brucek Khailany](/index.php/person/brucek-khailany), George Kokai, Kishor Kunal, Xiaowei Li, Charley Lind, Hao Liu, Stuart Oberman, Sujeet Omar, Sreedhar Pratty, Jonathan Raman, Ambar Sarkar, Zhengjiang Shao, Hanfei Sun, Pratik P Suthar, Varun Tej, [Walker Turner](/index.php/person/walker-turner), Kaizhe Xu, Mark Haoxing Ren













[Late Breaking Results: Test Selection For RTL Coverage By Unsupervised Learning From Fast Functional Simulation](/publication/2023-07_late-breaking-results-test-selection-rtl-coverage-unsupervised-learning-fast)

[Rongjian Liang](/person/rongjian-liang), [Nathaniel Pinckney](/person/nathaniel-pinckney), Yuji Chai, Mark Haoxing Ren, [Brucek Khailany](/person/brucek-khailany)



[60th Design Automation Conference](https://www.dac.com/)









[BufFormer: A Generative ML Framework for Scalable Buffering](/index.php/publication/2023-01_bufformer-generative-ml-framework-scalable-buffering)

[Rongjian Liang](/index.php/person/rongjian-liang), Siddhartha Nath, Anand Rajaram, Jiang Hu, Mark Haoxing Ren



[28th Asia and South Pacific Design Automation Conference](https://www.aspdac.com/aspdac2023/cfp/#:~:text=ASP%2DDAC%202023%20is%20the,silicon%20chips%20in%20the%20world.)