Zheng Qu

According to our database, Zheng Qu authored at least 18 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Addressing Data Explosion Issue in Emerging Deep Learning Applications

Zheng Qu

PhD thesis, 2023

SPG: Structure-Private Graph Database via SqueezePIR.

Ling Liang, Jilan Lin, Zheng Qu, Ishtiyaque Ahmad, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie

Proc. VLDB Endow., 2023

Dynamic N: M Fine-Grained Structured Sparse Attention Mechanism.

Zhaodong Chen, Zheng Qu, Yuying Quan, Liu Liu, Yufei Ding, Yuan Xie

Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023

TT-GNN: Efficient On-Chip Graph Neural Network Training via Embedding Reformation and Hardware Optimization.

Zheng Qu, Dimin Niu, Shuangchen Li, Hongzhong Zheng, Yuan Xie

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

2022

Hardware-Enabled Efficient Data Processing With Tensor-Train Decomposition.

Zheng Qu, Lei Deng, Bangyan Wang, Hengnu Chen, Jilan Lin, Ling Liang, Guoqi Li, Zheng Zhang, Yuan Xie

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks.

Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng, Guoqi Li, Peng Li, Yuan Xie

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Efficient Processing of Sparse Tensor Decomposition via Unified Abstraction and PE-Interactive Architecture.

Bangyan Wang, Lei Deng, Zheng Qu, Shuangchen Li, Zheng Zhang, Yuan Xie

IEEE Trans. Computers, 2022

Dynamic Sparse Attention for Scalable Transformer Acceleration.

Liu Liu, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yufei Ding, Yuan Xie

IEEE Trans. Computers, 2022

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 of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

DOTA: detect and omit weak attentions for scalable transformer acceleration.

Zheng Qu, Liu Liu, Fengbin Tu, Zhaodong Chen, Yufei Ding, Yuan Xie

Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022

2021

Tensor train decomposition for solving large-scale linear equations.

Hengnu Chen, Lei Deng, Zheng Qu, Ling Liang, Tianyi Yan, Yuan Xie, Guoqi Li

Neurocomputing, 2021

Transformer Acceleration with Dynamic Sparse Attention.

Liu Liu, Zheng Qu, Zhaodong Chen, Yufei Ding, Yuan Xie

CoRR, 2021

Efficient tensor core-based GPU kernels for structured sparsity under reduced precision.

Zhaodong Chen, Zheng Qu, Liu Liu, Yufei Ding, Yuan Xie

Proceedings of the International Conference for High Performance Computing, 2021

ENMC: Extreme Near-Memory Classification via Approximate Screening.

Liu Liu, Jilan Lin, Zheng Qu, Yufei Ding, Yuan Xie

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

Improving Streaming Graph Processing Performance using Input Knowledge.

Abanti Basak, Zheng Qu, Jilan Lin, Alaa R. Alameldeen, Zeshan Chishti, Yufei Ding, Yuan Xie

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

2020

ASP-SIFT: Using Analog Signal Processing Architecture to Accelerate Keypoint Detection of SIFT Algorithm.

Zichen Fan, Zheyu Liu, Zheng Qu, Fei Qiao, Qi Wei, Xinjun Liu, Yinan Sun, Shuzheng Xu, Huazhong Yang

IEEE Trans. Very Large Scale Integr. Syst., 2020

DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture.

Liu Liu, Zheng Qu, Lei Deng, Fengbin Tu, Shuangchen Li, Xing Hu, Zhenyu Gu, Yufei Ding, Yuan Xie

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

2018

A Network-Centric Hardware/Algorithm Co-Design to Accelerate Distributed Training of Deep Neural Networks.

Youjie Li, Jongse Park, Mohammad Alian, Yifan Yuan, Zheng Qu, Peitian Pan, Ren Wang, Alexander G. Schwing, Hadi Esmaeilzadeh, Nam Sung Kim

Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018