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ORCIDZheng Qu 0002
Person information
- affiliation: University of California, Santa Barbara, CA, USA
- affiliation (former): Tsinghua University, Beijing, China
Other persons with the same name
- Zheng Qu — disambiguation page
- Zheng Qu 0001
![[0000-0003-0883-2277]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-0883-2277")
— University of Hong Kong, Department of Mathematics, Hong Kong (and 1 more) - Zheng Qu 0003 — Massachusetts Institute of Technology, Cambridge, MA, USA
- Zheng Qu 0004 — University of Colorado, Boulder, CO, USA
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2020 – today
- 2023
[b1]Zheng Qu:
Addressing Data Explosion Issue in Emerging Deep Learning Applications. University of California, Santa Barbara, USA, 2023- [j7]Ling Liang, Jilan Lin, Zheng Qu, Ishtiyaque Ahmad, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie:
SPG: Structure-Private Graph Database via SqueezePIR. Proc. VLDB Endow. 16(7): 1615-1628 (2023) - [c9]Zheng Qu, Dimin Niu, Shuangchen Li, Hongzhong Zheng, Yuan Xie:
TT-GNN: Efficient On-Chip Graph Neural Network Training via Embedding Reformation and Hardware Optimization. MICRO 2023: 452-464 - [c8]Zhaodong Chen, Zheng Qu, Yuying Quan, Liu Liu, Yufei Ding, Yuan Xie:
Dynamic N: M Fine-Grained Structured Sparse Attention Mechanism. PPoPP 2023: 369-379 - 2022
- [j6]Bangyan Wang, Lei Deng, Zheng Qu, Shuangchen Li, Zheng Zhang, Yuan Xie:
Efficient Processing of Sparse Tensor Decomposition via Unified Abstraction and PE-Interactive Architecture. IEEE Trans. Computers 71(2): 266-281 (2022) - [j5]Liu Liu, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yufei Ding, Yuan Xie:
Dynamic Sparse Attention for Scalable Transformer Acceleration. IEEE Trans. Computers 71(12): 3165-3178 (2022) - [j4]Zheng Qu, Lei Deng, Bangyan Wang, Hengnu Chen, Jilan Lin, Ling Liang, Guoqi Li, Zheng Zhang, Yuan Xie:
Hardware-Enabled Efficient Data Processing With Tensor-Train Decomposition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(2): 372-385 (2022) - [j3]Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng, Guoqi Li, Peng Li, Yuan Xie:
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4782-4796 (2022) - [c7]Zheng Qu, Liu Liu, Fengbin Tu, Zhaodong Chen, Yufei Ding, Yuan Xie:
DOTA: detect and omit weak attentions for scalable transformer acceleration. ASPLOS 2022: 14-26 - [c6]Jilan Lin, Ling Liang, Zheng Qu, Ishtiyaque Ahmad, Liu Liu, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie:
INSPIRE: in-storage private information retrieval via protocol and architecture co-design. ISCA 2022: 102-115 - [i3]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) - 2021
- [j2]Hengnu Chen, Lei Deng, Zheng Qu, Ling Liang, Tianyi Yan, Yuan Xie, Guoqi Li:
Tensor train decomposition for solving large-scale linear equations. Neurocomputing 464: 203-217 (2021) - [c5]Abanti Basak, Zheng Qu, Jilan Lin, Alaa R. Alameldeen, Zeshan Chishti, Yufei Ding, Yuan Xie:
Improving Streaming Graph Processing Performance using Input Knowledge. MICRO 2021: 1036-1050 - [c4]Liu Liu, Jilan Lin, Zheng Qu, Yufei Ding, Yuan Xie:
ENMC: Extreme Near-Memory Classification via Approximate Screening. MICRO 2021: 1309-1322 - [c3]Zhaodong Chen, Zheng Qu, Liu Liu, Yufei Ding, Yuan Xie:
Efficient tensor core-based GPU kernels for structured sparsity under reduced precision. SC 2021: 78 - [i2]Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng, Guoqi Li, Peng Li, Yuan Xie:
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks. CoRR abs/2107.11746 (2021) - [i1]Liu Liu, Zheng Qu, Zhaodong Chen, Yufei Ding, Yuan Xie:
Transformer Acceleration with Dynamic Sparse Attention. CoRR abs/2110.11299 (2021) - 2020
- [j1]Zichen Fan, Zheyu Liu, Zheng Qu, Fei Qiao, Qi Wei, Xinjun Liu, Yinan Sun, Shuzheng Xu, Huazhong Yang:
ASP-SIFT: Using Analog Signal Processing Architecture to Accelerate Keypoint Detection of SIFT Algorithm. IEEE Trans. Very Large Scale Integr. Syst. 28(1): 198-211 (2020) - [c2]Liu Liu, Zheng Qu, Lei Deng, Fengbin Tu, Shuangchen Li, Xing Hu, Zhenyu Gu, Yufei Ding, Yuan Xie:
DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture. MICRO 2020: 738-750
2010 – 2019
- 2018
- [c1]Youjie Li, Jongse Park, Mohammad Alian, Yifan Yuan, Zheng Qu, Peitian Pan, Ren Wang, Alexander G. Schwing, Hadi Esmaeilzadeh, Nam Sung Kim:
A Network-Centric Hardware/Algorithm Co-Design to Accelerate Distributed Training of Deep Neural Networks. MICRO 2018: 175-188
Coauthor Index
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