Zheng Qu

477 citations

17 papers · 294 indexed · h-index 9

Co-authors: Yufei Ding Yuan Xie Liu Liu Zhaodong Chen Fengbin Tu Ling Liang Jongse Park Ren Wang
Topics: Advanced Neural Network Applications (5 papers)Advanced Memory and Neural Computing (4 papers)Tensor decomposition and applications (4 papers)
Cited by: Computational Mathematics Hardware and Architecture Computer Vision and Pattern Recognition
Journals: Neurocomputing IEEE Transactions on Computers IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Partner nations: United States China Austria

In The Last Decade

Zheng Qu

17 papers receiving 288 citations

Peers

Countries citing papers authored by Zheng Qu

Since Specialization

Citations

This map shows the geographic impact of Zheng Qu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zheng Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zheng Qu more than expected).

Fields of papers citing papers by Zheng Qu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zheng Qu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zheng Qu. The network helps show where Zheng Qu may publish in the future.

Co-authorship network of co-authors of Zheng Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Zheng Qu. A scholar is included among the top collaborators of Zheng Qu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zheng Qu. Zheng Qu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	TT-GNN: Efficient On-Chip Graph Neural Network Training via Embedding Reformation and Hardware Optimization 2023 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Zheng Qu,Dimin Niu,Shuangchen Li,Hongzhong Zheng,Yuan Xie	3
2	SPG: Structure-Private Graph Database via SqueezePIR 2023 ·Proceedings of the VLDB Endowment ·Ling Liang,(unknown),Zheng Qu,(unknown),Fengbin Tu,(unknown),Yufei Ding,Yuan Xie	1
3	Dynamic N:M Fine-Grained Structured Sparse Attention Mechanism 2023 ·Zhaodong Chen,Zheng Qu,(unknown),Liu Liu,Yufei Ding,Yuan Xie	8
4	Dynamic Sparse Attention for Scalable Transformer Acceleration 2022 ·IEEE Transactions on Computers ·Liu Liu,Zheng Qu,Zhaodong Chen,Fengbin Tu,Yufei Ding,Yuan Xie	19
5	INSPIRE 2022 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·(unknown),Ling Liang,Zheng Qu,(unknown),Liu Liu,Fengbin Tu,(unknown),Yufei Ding,Yuan Xie	11
6	DOTA: detect and omit weak attentions for scalable transformer acceleration 2022 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Zheng Qu,Liu Liu,Fengbin Tu,Zhaodong Chen,Yufei Ding,Yuan Xie	71
7	H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks 2021 ·IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ·Ling Liang,Zheng Qu,Zhaodong Chen,Fengbin Tu,Yujie Wu,Lei Deng,Guoqi Li,Peng Li,Yuan Xie	29
8	Hardware-Enabled Efficient Data Processing With Tensor-Train Decomposition 2021 ·IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ·Zheng Qu,Lei Deng,(unknown),(unknown),(unknown),Ling Liang,Guoqi Li,Zheng Zhang,Yuan Xie	8
9	ENMC: Extreme Near-Memory Classification via Approximate Screening 2021 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Liu Liu,(unknown),Zheng Qu,Yufei Ding,Yuan Xie	10
10	Efficient tensor core-based GPU kernels for structured sparsity under reduced precision 2021 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Zhaodong Chen,Zheng Qu,Liu Liu,Yufei Ding,Yuan Xie	27
11	Efficient Processing of Sparse Tensor Decomposition via Unified Abstraction and PE-Interactive Architecture 2021 ·IEEE Transactions on Computers ·(unknown),Lei Deng,Zheng Qu,Shuangchen Li,Zheng Zhang,Yuan Xie	1
12	Improving Streaming Graph Processing Performance using Input Knowledge 2021 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·(unknown),Zheng Qu,(unknown),Alaa R. Alameldeen,Zeshan Chishti,Yufei Ding,Yuan Xie	13
13	Coordinated Motion Generation and Object Placement: A Reactive Planning and Landing Approach 2021 ·2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ·(unknown),(unknown),Luis Figueredo,Zheng Qu,(unknown),(unknown),Sami Haddadin	8
14	Tensor train decomposition for solving large-scale linear equations 2021 ·Neurocomputing ·(unknown),Lei Deng,Zheng Qu,Ling Liang,Tianyi Yan,Yuan Xie,Guoqi Li	1
15	DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture 2020 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Liu Liu,Zheng Qu,Lei Deng,Fengbin Tu,Shuangchen Li,Xing Hu,Zhenyu Gu,Yufei Ding,Yuan Xie	18
16	ASP-SIFT: Using Analog Signal Processing Architecture to Accelerate Keypoint Detection of SIFT Algorithm 2019 ·IEEE Transactions on Very Large Scale Integration (VLSI) Systems ·(unknown),Zheyu Liu,Zheng Qu,Fei Qiao,Qi Wei,Xin-Jun Liu,(unknown),(unknown),Huazhong Yang	3
17	A Network-Centric Hardware/Algorithm Co-Design to Accelerate Distributed Training of Deep Neural Networks 2018 ·Youjie Li,Jongse Park,Mohammad Alian,Yifan Yuan,Zheng Qu,(unknown),Ren Wang,Alexander G. Schwing,Hadi Esmaeilzadeh,Nam Sung Kim	63

About Zheng Qu

Zheng Qu is a scholar working on Computational Mathematics, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 294 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Advanced Memory and Neural Computing (4 papers) and Tensor decomposition and applications (4 papers). The work is most often cited by research in Computational Mathematics (16 citations), Hardware and Architecture (65 citations) and Computer Vision and Pattern Recognition (120 citations). Zheng Qu has collaborated with scholars based in United States, China and Austria. Frequent co-authors include Yufei Ding, Yuan Xie, Liu Liu, Zhaodong Chen, Fengbin Tu, Ling Liang, Jongse Park, Ren Wang, Mohammad Alian and Yifan Yuan. Their work appears in journals such as Neurocomputing, IEEE Transactions on Computers and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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