Liu Liu is a final-year Ph.D. candidate in the Department of Computer Science at UC Santa Barbara. His research interests reside in the intersection between machine intelligence and computer architecture. He received his Master’s degree in Electrical and Computer Engineering at UCSB. Before his graduate study, he received a Bachelor’s degree from the University of Electronic Science and Technology of China (UESTC).

“Less is More.” – Ludwig Mies van der Rohe (1886 – 1969)

Research Summary

My research interests include domain-specific architectures, efficient and robust deep learning through algoritm-architecture co-optimization, near-memory architectures. I work at the Scalable Energy-Efficient Architecture Lab (SEAL) under the supervision of Dr. Yuan Xie and Dr. Yufei Ding.

I am on the academic job market this cycle (2021-2022). Please reach out to me if you are hiring.

Selected Publications

  • [MICRO’21] ENMC: Extreme Near-Memory Classification via Approximate Screening (pdf)
  • [MICRO’20] DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture (link, pdf)
  • [ICML’20] Boosting Deep Neural Network Efficiency with Dual-Module Inference (talk, pdf)
  • [ICLR’19] Dynamic Sparse Graph for Efficient Deep Learning (pdf)