Liu Liu
The fear of the LORD is the beginning of wisdom, and the knowledge of the Holy One is insight. (Proverbs 9:10)
CII 6123
110 Eighth Street
Troy, NY 12180
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 Peter J Frenkel Fellowship from the Institute of Energy Efficiency at UCSB.
Link to RPI faculty page.
news
Dec 15, 2023 | I will serve in the TPC of DAC 2024 and the ERC of ISCA 2024. |
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Nov 30, 2023 | Rensselaer-IBM AI Research Collaboration Grant, 2024. |
Oct 30, 2023 | I am honored to receive the 2023 Samsung Global Research Outreach (GRO) Award. |
latest posts
Feb 21, 2024 | prospective students |
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selected publications
- TCDynamic sparse attention for scalable transformer accelerationIEEE Transactions on Computers, 2022
- Dota: detect and omit weak attentions for scalable transformer accelerationIn Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems , 2022
- Enmc: Extreme near-memory classification via approximate screeningIn 54th Annual IEEE/ACM International Symposium on Microarchitecture , 2021
- DUET: Boosting deep neural network efficiency on dual-module architectureIn 53rd Annual IEEE/ACM International Symposium on Microarchitecture , 2020
- Dynamic Sparse Graph for Efficient Deep LearningIn International Conference on Learning Representations , 2019