Liu Liu

The fear of the LORD is the beginning of wisdom (Proverbs 9:10a)

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Dr. Liu Liu is an Assistant Professor in the Department of Electrical, Computer, and Systems Engineering and the Department of Computer Science at Rensselaer Polytechnic Institute (RPI). He holds a Ph.D. in Computer Science and an M.S. in Electrical and Computer Engineering from the University of California, Santa Barbara. Dr. Liu directs the Efficient, Parallel, and Intelligent Computing (EPIC) Lab at RPI, focusing the research on Elastic AI Computing systems and architecture design. His doctoral dissertation was supervised by Dr. Yuan Xie (now a Chair Professor at HKUST) and Dr. Yufei Ding (now an Associate Professor at UCSD). He holds a Bachelor’s degree from the University of Electronic Science and Technology of China (UESTC). He is a recipient of NSF CAREER Award, Samsung Global Research Outreach Award, and Peter J Frenkel Fellowship from the Institute of Energy Efficiency at UCSB.

Opening: We are seeking highly self-motivated students with interests in computer architecture, ML systems, and AI hardware to join our research group.

news

Nov 2025 Our STARC paper to appear in ASPLOS 2026.
Oct 2025 Serve in the TPC of ICS 2025, MICRO 2025, and HPCA 2026.
Jun 2025 Our SAGE paper appears in ICCAD 2025.
Mar 2025 Our BitWeaver paper appears in ICS 2025.
Jan 2025 NSF CAREER Award

selected publications

  1. TC
    Dynamic sparse attention for scalable transformer acceleration
    Liu Liu, Zheng Qu, Zhaodong Chen, and 3 more authors
    IEEE Transactions on Computers, 2022
  2. ASPLOS
    DOTA: detect and omit weak attentions for scalable transformer acceleration
    Zheng Qu, Liu Liu, Fengbin Tu, and 3 more authors
    In Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2022
  3. MICRO
    ENMC: Extreme near-memory classification via approximate screening
    Liu Liu, Jilan Lin, Zheng Qu, and 2 more authors
    In 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021
  4. MICRO
    DUET: Boosting deep neural network efficiency on dual-module architecture
    Liu Liu, Zheng Qu, Lei Deng, and 6 more authors
    In 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020
  5. ICLR
    Dynamic Sparse Graph for Efficient Deep Learning
    Liu Liu, Lei Deng, Xing Hu, and 4 more authors
    In International Conference on Learning Representations, 2019