AWARD    ACM/IEEE Design Automation Conference 2022 Best Paper Award nominee

Date:

July 14, 2022

Awarded to:

Weidong Cao, Mouhacine Benosman, Xuan Zhang, and Rui Ma

Description:

The Conference committee of the 59th Design Automation Conference has chosen MERL's paper entitled 'Domain Knowledge-Infused Deep Learning for Automated Analog/RF Circuit Parameter Optimization', as a DAC Best Paper Award nominee. The committee evaluated both manuscript and submitted presentation recording, and has chosen MERL's paper as one of six nominees for this prestigious award. Decisions were based on the submissions’ innovation, impact and exposition.

Research Area:

Artificial Intelligence

• Related Publications

   Cao, W., Benosman, M., Zhang, X., Ma, R., "Domain Knowledge-Infused Deep Learning for Automated Analog/Radio-Frequency Circuit Parameter Optimization", ACM/IEEE Design Automation Conference, July 2022.

  BibTeX TR2022-096 PDF

  • @inproceedings{Cao2022jul,
  • author = {Cao, Weidong and Benosman, Mouhacine and Zhang, Xuan and Ma, Rui},
  • title = {Domain Knowledge-Infused Deep Learning for Automated Analog/Radio-Frequency Circuit Parameter Optimization},
  • booktitle = {ACM/IEEE Design Automation Conference},
  • year = 2022,
  • month = jul,
  • url = {https://www.merl.com/publications/TR2022-096}
  • }