Liu Liu

Electrical, Computer, and Systems Engineering

About

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. At RPI, he directs the Efficient, Parallel, and Intelligent Computing (EPIC) Lab, focusing on the design of elastic AI computing systems and architecture, with multiple industry-funded collaborations. He is a recipient of the Peter J Frenkel Fellowship from the Institute of Energy Efficiency at UCSB and the 2023 Samsung Global Research Outreach program.

Education & Training

Ph.D. in Computer Science, University of California, Santa Barbara, 2022
M.S. in Electrical & Computer Engineering, University of California, Santa Barbara, 2015
B.E. in Optoelectronics, University of Electronic Science and Technology of China, 2013

Other affililations: Computer Science

Research

Primary Research Focus
Computer Architecture, Machine Learning Systems, AI Hardware
Research Groups

Efficient, Parallel, and Intelligent Computing (EPIC) Lab (homepage)

Teaching

Current Courses

ECSE 4770 Computer Hardware Design - Fall 2022, Fall 2023, Fall 2024

ECSE 4780 Advanced Computer Hardware Design - Spring 2024, Spring 2025

Publications
Google Scholar

The following is a selection of recent publications in Scopus. Liu Liu has 21 indexed publications in the subjects of Computer Science, Engineering, Mathematics.

ECSSD: Hardware/Data Layout Co-Designed In-Storage-Computing Architecture for Extreme Classification
Siqi Li, Jilan Lin, Fengbin Tu, Zheng Wang, Liu Liu, Yangwook Kang, Yufei Ding, Yuan Xie
Proceedings - International Symposium on Computer Architecture
, 2023
, pp.814-827
.
Dynamic N:M Fine-Grained Structured Sparse Attention Mechanism
Zhaodong Chen, Zheng Qu, Yuying Quan, Liu Liu, Yufei Ding, Yuan Xie
Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP
, 2023
, pp.369-379
.
CheckSORT: Refined Synthetic Data Combination and Optimized SORT for Automatic Retail Checkout
Ziqiang Shi, Zhongling Liu, Liu Liu, Rujie Liu, Takuma Yamamoto, Xiaoyu Mi, Daisuke Uchida
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
, 2023-June
, 2023
, pp.5391-5398
.
TranCIM: Full-Digital Bitline-Transpose CIM-based Sparse Transformer Accelerator With Pipeline/Parallel Reconfigurable Modes
Fengbin Tu, Zihan Wu, Yiqi Wang, Ling Liang, Liu Liu, Yufei Ding, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
IEEE Journal of Solid-State Circuits
, 58
, 2023
, pp.1798-1809
.
INSPIRE: IN-Storage Private Information REtrieval via Protocol and Architecture Co-design
Jilan Lin, Ling Liang, Zheng Qu, Ishtiyaque Ahmad, Liu Liu, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie
Proceedings - International Symposium on Computer Architecture
, 2022
, pp.102-115
.
A One-for-All and O(V log(V ))-Cost Solution for Parallel Merge Style Operations on Sorted Key-Value Arrays
Bangyan Wang, Lei Deng, Fei Sun, Guohao Dai, Liu Liu, Yu Wang, Yuan Xie
International Conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS
, 2022
, pp.669-682
.
DOTA: Detect and OmitWeak Attentions for Scalable Transformer Acceleration
Zheng Qu, Liu Liu, Fengbin Tu, Zhaodong Chen, Yufei Ding, Yuan Xie
International Conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS
, 2022
, pp.14-26
.
A 28nm 15.59J/Token Full-Digital Bitline-Transpose CIM-Based Sparse Transformer Accelerator with Pipeline/Parallel Reconfigurable Modes
Fengbin Tu, Zihan Wu, Yiqi Wang, Ling Liang, Liu Liu, Yufei Ding, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
Digest of Technical Papers - IEEE International Solid-State Circuits Conference
, 2022-February
, 2022
, pp.466-468
.
Efficient tensor core-based gpu kernels for structured sparsity under reduced precision
Zhaodong Chen, Zheng Qu, Liu Liu, Yufei Ding, Yuan Xie
International Conference for High Performance Computing, Networking, Storage and Analysis, SC
, 2021
.
ENMC: Extreme near-memory classification via approximate screening
Liu Liu, Jilan Lin, Zheng Qu, Yufei Ding, Yuan Xie
Proceedings of the Annual International Symposium on Microarchitecture, MICRO
, 2021
, pp.1309-1322
.
Back to top