Cunxi Yu portrait
  • Computer Engineering Committee, Elect & Computer Engineering
  • Assistant Professor, Elect & Computer Engineering

Publications

  • Cunxi Yu & Wang Zhou (2020). Decision Making in Synthesis cross Technologies using LSTMs and Transfer Learning. 2nd ACM/IEEE Workshop on Machine Learning for CAD (MLCAD) 16-20 November, 2020. Published, 12/01/2020.
  • Cunxi Yu (2020). FlowTune: Practical Multi-armed Bandits in Boolean Optimization. IEEE/ACM International Conference On Computer Aided Design (ICCAD'20), Nov. 2020. Published, 11/17/2020.
  • Walter Lau Neto & Matheus Trevisan Moreira, Luca Amaru, Cunxi Yu, and Pierre-Emmanuel Gaillardon (2020). EaSyOpt: Predicting Post Place and Route Critical Paths for Early Synthesis Optimization. International Workshop on Logic and Synthesis (IWLS). Published, 07/23/2020.

Research Statement

Developing novel algorithms, design methodologies, and automation systems for computing system/hardware. Recent research focuses on leveraging ML/DL in DA and software-hardware co-design for DL acceleration.

Research Keywords

  • Formal verification
  • Deep Learning
  • Computer-Aided Design (CAD)

Software Titles

  • FlowTune: Practical Multi-armed Bandits in Boolean Optimization. https://github.com/Yu-Utah/FlowTune. Release Date: 06/01/2020. Inventors: Cunxi Yu. Distribution List: https://github.com/Yu-Utah/FlowTune.