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Liu Liu 0017
Person information
- affiliation: University of California, Santa Barbara, CA, USA
- unicode name: 刘浏
Other persons with the same name
- Liu Liu — disambiguation page
- Liu Liu 0001
— Beijing Jiaotong University, Institute of Broadband Wireless Mobile Communications, China
- Liu Liu 0002
- Liu Liu 0003
- Liu Liu 0004
- Liu Liu 0005 — Tsinghua University, Department of Computer and Technology, Beijing, China
- Liu Liu 0006 — Fudan University, School of Computer Science, Shanghai, China
- Liu Liu 0007 — Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
- Liu Liu 0008
- Liu Liu 0009
- Liu Liu 0010
- Liu Liu 0011 — Nanjing University of Posts and Telecommunications, China
- Liu Liu 0012
- Liu Liu 0013
- Liu Liu 0014
- Liu Liu 0015 — Rutgers University, NJ, USA
- Liu Liu 0016 — DOCOMO Beijing Communications Laboratories Co., Ltd, Beijing, China
- Liu Liu 0018
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2020 – today
- 2023
- [j5]Fengbin Tu
TranCIM: Full-Digital Bitline-Transpose CIM-based Sparse Transformer Accelerator With Pipeline/Parallel Reconfigurable Modes. IEEE J. Solid State Circuits 58(6): 1798-1809 (2023) - [c16]Siqi Li
ECSSD: Hardware/Data Layout Co-Designed In-Storage-Computing Architecture for Extreme Classification. ISCA 2023: 58:1-58:14 - [c15]Guyue Huang, Yang Bai, Liu Liu, Yuke Wang, Bei Yu, Yufei Ding, Yuan Xie:
ALCOP: Automatic Load-Compute Pipelining in Deep Learning Compiler for AI-GPUs. MLSys 2023 - [c14]Zhaodong Chen, Zheng Qu, Yuying Quan, Liu Liu
Dynamic N: M Fine-Grained Structured Sparse Attention Mechanism. PPoPP 2023: 369-379 - 2022
- [b1]Liu Liu:
Elastic Processing and Hardware Architectures for Machine Learning. University of California, Santa Barbara, USA, 2022 - [j4]Liu Liu
Dynamic Sparse Attention for Scalable Transformer Acceleration. IEEE Trans. Computers 71(12): 3165-3178 (2022) - [c13]Zheng Qu
DOTA: detect and omit weak attentions for scalable transformer acceleration. ASPLOS 2022: 14-26 - [c12]Bangyan Wang
A one-for-all and o(v log(v ))-cost solution for parallel merge style operations on sorted key-value arrays. ASPLOS 2022: 669-682 - [c11]Jilan Lin, Ling Liang, Zheng Qu, Ishtiyaque Ahmad, Liu Liu
INSPIRE: in-storage private information retrieval via protocol and architecture co-design. ISCA 2022: 102-115 - [c10]Fengbin Tu, Zihan Wu, Yiqi Wang, Ling Liang, Liu Liu
A 28nm 15.59µJ/Token Full-Digital Bitline-Transpose CIM-Based Sparse Transformer Accelerator with Pipeline/Parallel Reconfigurable Modes. ISSCC 2022: 466-468 - [i8]Zhaodong Chen, Yuying Quan, Zheng Qu, Liu Liu, Yufei Ding, Yuan Xie:
Dynamic N: M Fine-grained Structured Sparse Attention Mechanism. CoRR abs/2203.00091 (2022) - [i7]Guyue Huang, Yang Bai, Liu Liu, Yuke Wang, Bei Yu, Yufei Ding, Yuan Xie:
Enabling Data Movement and Computation Pipelining in Deep Learning Compiler. CoRR abs/2210.16691 (2022) - 2021
- [j3]Liu Liu
Π-RT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Vision Applications on Heterogeneous Architectures. Computer 54(4): 14-25 (2021) - [c9]Liu Liu
ENMC: Extreme Near-Memory Classification via Approximate Screening. MICRO 2021: 1309-1322 - [c8]Zhaodong Chen, Zheng Qu, Liu Liu
Efficient tensor core-based GPU kernels for structured sparsity under reduced precision. SC 2021: 78 - [i6]Liu Liu, Zheng Qu, Zhaodong Chen, Yufei Ding, Yuan Xie:
Transformer Acceleration with Dynamic Sparse Attention. CoRR abs/2110.11299 (2021) - 2020
- [j2]Lei Deng
SemiMap: A Semi-Folded Convolution Mapping for Speed-Overhead Balance on Crossbars. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(1): 117-130 (2020) - [c7]Fei Sun, Minghai Qin, Tianyun Zhang, Liu Liu
INVITED: Computation on Sparse Neural Networks and its Implications for Future Hardware. DAC 2020: 1-6 - [c6]Liu Liu, Lei Deng, Zhaodong Chen, Yuke Wang, Shuangchen Li, Jingwei Zhang, Yihua Yang, Zhenyu Gu, Yufei Ding, Yuan Xie:
Boosting Deep Neural Network Efficiency with Dual-Module Inference. ICML 2020: 6205-6215 - [c5]Liu Liu
DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture. MICRO 2020: 738-750 - [i5]Fei Sun, Minghai Qin, Tianyun Zhang, Liu Liu, Yen-Kuang Chen, Yuan Xie:
Computation on Sparse Neural Networks: an Inspiration for Future Hardware. CoRR abs/2004.11946 (2020)
2010 – 2019
- 2019
- [j1]Shuang Wu
L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 30(7): 2043-2051 (2019) - [c4]Liu Liu
Dynamic Sparse Graph for Efficient Deep Learning. ICLR (Poster) 2019 - 2018
- [i4]Liu Liu, Shaoshan Liu, Zhe Zhang, Bo Yu, Jie Tang, Yuan Xie:
PIRT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Applications on Heterogeneous Architectures. CoRR abs/1802.08359 (2018) - [i3]Shuang Wu, Guoqi Li, Lei Deng, Liu Liu, Yuan Xie, Luping Shi:
L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks. CoRR abs/1802.09769 (2018) - [i2]Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie:
Dynamic Sparse Graph for Efficient Deep Learning. CoRR abs/1810.00859 (2018) - 2017
- [c3]Liu Liu
Building energy-efficient multi-level cell STT-RAM caches with data compression. ASP-DAC 2017: 751-756 - 2016
- [c2]Peng Gu, Shuangchen Li, Dylan C. Stow, Russell Barnes, Liu Liu
Leveraging 3D Technologies for Hardware Security: Opportunities and Challenges. ACM Great Lakes Symposium on VLSI 2016: 347-352 - [c1]Shuangchen Li, Liu Liu
NVSim-CAM: a circuit-level simulator for emerging nonvolatile memory based content-addressable memory. ICCAD 2016: 2 - [i1]Maohua Zhu, Liu Liu, Chao Wang, Yuan Xie:
CNNLab: a Novel Parallel Framework for Neural Networks using GPU and FPGA-a Practical Study with Trade-off Analysis. CoRR abs/1606.06234 (2016)
Coauthor Index
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