Zheng Qu - RankMe

20 papers A* 7A 1B 1Journal 10

Year	Rank	Type	Title / Venue / Authors
2023	—	`—`	Addressing Data Explosion Issue in Emerging Deep Learning Applications Zheng Qu
2023	B	`conf`	Dynamic N: M Fine-Grained Structured Sparse Attention Mechanism. PPoPP Zhaodong Chen, Zheng Qu, Yuying Quan, Liu Liu, Yufei Ding, Yuan Xie
2023	J	`jnl`	SPG: Structure-Private Graph Database via SqueezePIR. Proc. VLDB Endow. Ling Liang, Jilan Lin, Zheng Qu, Ishtiyaque Ahmad, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie
2023	A*	`conf`	TT-GNN: Efficient On-Chip Graph Neural Network Training via Embedding Reformation and Hardware Optimization. MICRO Zheng Qu, Dimin Niu, Shuangchen Li, Hongzhong Zheng, Yuan Xie
2022	A*	`conf`	DOTA: detect and omit weak attentions for scalable transformer acceleration. ASPLOS Zheng Qu, Liu Liu, Fengbin Tu, Zhaodong Chen, Yufei Ding, Yuan Xie
2022	J	`jnl`	Dynamic N: M Fine-grained Structured Sparse Attention Mechanism. CoRR Zhaodong Chen, Yuying Quan, Zheng Qu, Liu Liu, Yufei Ding, Yuan Xie
2022	J	`jnl`	Dynamic Sparse Attention for Scalable Transformer Acceleration. IEEE Trans. Computers Liu Liu, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yufei Ding, Yuan Xie
2022	J	`jnl`	Efficient Processing of Sparse Tensor Decomposition via Unified Abstraction and PE-Interactive Architecture. IEEE Trans. Computers Bangyan Wang, Lei Deng, Zheng Qu, Shuangchen Li, Zheng Zhang, Yuan Xie
2022	J	`jnl`	H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng, Guoqi Li, Peng Li, Yuan Xie
2022	J	`jnl`	Hardware-Enabled Efficient Data Processing With Tensor-Train Decomposition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zheng Qu, Lei Deng, Bangyan Wang, Hengnu Chen, Jilan Lin, Ling Liang, Guoqi Li, Zheng Zhang, Yuan Xie
2022	A*	`conf`	INSPIRE: in-storage private information retrieval via protocol and architecture co-design. ISCA Jilan Lin, Ling Liang, Zheng Qu, Ishtiyaque Ahmad, Liu Liu, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie
2021	A*	`conf`	ENMC: Extreme Near-Memory Classification via Approximate Screening. MICRO Liu Liu, Jilan Lin, Zheng Qu, Yufei Ding, Yuan Xie
2021	A	`conf`	Efficient tensor core-based GPU kernels for structured sparsity under reduced precision. SC Zhaodong Chen, Zheng Qu, Liu Liu, Yufei Ding, Yuan Xie
2021	J	`jnl`	H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks. CoRR Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng, Guoqi Li, Peng Li, Yuan Xie
2021	A*	`conf`	Improving Streaming Graph Processing Performance using Input Knowledge. MICRO Abanti Basak, Zheng Qu, Jilan Lin, Alaa R. Alameldeen, Zeshan Chishti, Yufei Ding, Yuan Xie
2021	J	`jnl`	Tensor train decomposition for solving large-scale linear equations. Neurocomputing Hengnu Chen, Lei Deng, Zheng Qu, Ling Liang, Tianyi Yan, Yuan Xie, Guoqi Li
2021	J	`jnl`	Transformer Acceleration with Dynamic Sparse Attention. CoRR Liu Liu, Zheng Qu, Zhaodong Chen, Yufei Ding, Yuan Xie
2020	J	`jnl`	ASP-SIFT: Using Analog Signal Processing Architecture to Accelerate Keypoint Detection of SIFT Algorithm. IEEE Trans. Very Large Scale Integr. Syst. Zichen Fan, Zheyu Liu, Zheng Qu, Fei Qiao, Qi Wei, Xinjun Liu, Yinan Sun, Shuzheng Xu, Huazhong Yang
2020	A*	`conf`	DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture. MICRO Liu Liu, Zheng Qu, Lei Deng, Fengbin Tu, Shuangchen Li, Xing Hu, Zhenyu Gu, Yufei Ding, Yuan Xie
2018	A*	`conf`	A Network-Centric Hardware/Algorithm Co-Design to Accelerate Distributed Training of Deep Neural Networks. MICRO Youjie Li, Jongse Park, Mohammad Alian, Yifan Yuan, Zheng Qu, Peitian Pan, Ren Wang, Alexander G. Schwing, Hadi Esmaeilzadeh, Nam Sung Kim