Qinggang Wang

32 papers A* 10A 5B 1Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Accelerating Multi-Scale Deformable Attention Using Near-Memory-Processing Architecture.
CoRR
Huize Li, Qinggang Wang, Bing Gao, Dan Chen, Yu Huang, Xin Xin
2026 A* conf
Adaptive Draft Sequence Length: Enhancing Speculative Decoding Throughput on PIM-Enabled Systems.
HPCA
Runze Wang, Qinggang Wang, Haifeng Liu, Long Zheng, Xiaofei Liao, Hai Jin, Jingling Xue
2025 A conf
Diff-MoE: Efficient Batched MoE Inference with Priority-Driven Differential Expert Caching.
SC
Kexin Li, Wenkan Huang, Qinggang Wang, Long Zheng, Xiaofei Liao, Hai Jin, Jingling Xue
2025 — conf
Geans: A GPU-accelerated Framework for Efficient End-to-End Anonymized Network Sensing.
HPEC
Jun Mai, Qinggang Wang, Yu Huang, Pengcheng Yao, Long Zheng, Xiaofei Liao, Hai Jin
2025 A* conf
MeHyper: Accelerating Hypergraph Neural Networks by Exploring Implicit Dataflows.
HPCA
Wenju Zhao, Pengcheng Yao, Dan Chen, Long Zheng, Xiaofei Liao, Qinggang Wang, Shaobo Ma, Yu Li, Haifeng Liu, Wenjing Xiao, Yufei Sun, Bing Zhu, Hai Jin, Jingling Xue
2024 A* conf
A Scalable, Efficient, and Robust Dynamic Memory Management Library for HLS-based FPGAs.
MICRO
Qinggang Wang, Long Zheng, Zhaozeng An, Shuyi Xiong, Runze Wang, Yu Huang, Pengcheng Yao, Xiaofei Liao, Hai Jin, Jingling Xue
2024 J jnl
An Efficient GCNs Accelerator Using 3D-Stacked Processing-in-Memory Architectures.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Runze Wang, Ao Hu, Long Zheng, Qinggang Wang, Jingrui Yuan, Haifeng Liu, Linchen Yu, Xiaofei Liao, Hai Jin
2024 A* conf
High-Performance and Resource-Efficient Dynamic Memory Management in High-Level Synthesis.
DAC
Qinggang Wang, Long Zheng, Zhaozeng An, Haoqin Huang, Haoran Zhu, Yu Huang, Pengcheng Yao, Xiaofei Liao, Hai Jin
2024 J jnl
PhGraph: A High-Performance ReRAM-Based Accelerator for Hypergraph Applications.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Long Zheng, Ao Hu, Qinggang Wang, Yu Huang, Haoqin Huang, Pengcheng Yao, Shuyi Xiong, Xiaofei Liao, Hai Jin
2024 J jnl
Towards High-Performance Graph Processing: From a Hardware/Software Co-Design Perspective.
J. Comput. Sci. Technol.
Xiaofei Liao, Wenju Zhao, Hai Jin, Pengcheng Yao, Yu Huang, Qinggang Wang, Jin Zhao, Long Zheng, Yu Zhang, Zhiyuan Shao
2023 A* conf
AFaVS: Accurate Yet Fast Version Switching for Graph Processing Systems.
ICDE
Long Zheng, Xiangyu Ye, Haifeng Liu, Qinggang Wang, Yu Huang, Chuangyi Gui, Pengcheng Yao, Xiaofei Liao, Hai Jin, Jingling Xue
2023 A* conf
MeG
DAC
Yu Huang, Long Zheng, Haifeng Liu, Zhuoran Zhou, Dan Chen, Pengcheng Yao, Qinggang Wang, Xiaofei Liao, Hai Jin
2022 A* conf
A Data-Centric Accelerator for High-Performance Hypergraph Processing.
MICRO
Qinggang Wang, Long Zheng, Ao Hu, Yu Huang, Pengcheng Yao, Chuangyi Gui, Xiaofei Liao, Hai Jin, Jingling Xue
2022 A conf
A General Offloading Approach for Near-DRAM Processing-In-Memory Architectures.
IPDPS
Dan Chen, Hai Jin, Long Zheng, Yu Huang, Pengcheng Yao, Chuangyi Gui, Qinggang Wang, Haifeng Liu, Haiheng He, Xiaofei Liao, Ran Zheng
2022 A* conf
Accelerating Graph Convolutional Networks Using Crossbar-based Processing-In-Memory Architectures.
HPCA
Yu Huang, Long Zheng, Pengcheng Yao, Qinggang Wang, Xiaofei Liao, Hai Jin, Jingling Xue
2022 — conf
Accelerating Sparse Deep Neural Network Inference Using GPU Tensor Cores.
HPEC
Yufei Sun, Long Zheng, Qinggang Wang, Xiangyu Ye, Yu Huang, Pengcheng Yao, Xiaofei Liao, Hai Jin
2022 A* conf
Hardware-Accelerated Hypergraph Processing with Chain-Driven Scheduling.
HPCA
Qinggang Wang, Long Zheng, Jingrui Yuan, Yu Huang, Pengcheng Yao, Chuangyi Gui, Ao Hu, Xiaofei Liao, Hai Jin
2022 J jnl
ReaDy: A ReRAM-Based Processing-in-Memory Accelerator for Dynamic Graph Convolutional Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Yu Huang, Long Zheng, Pengcheng Yao, Qinggang Wang, Haifeng Liu, Xiaofei Liao, Hai Jin, Jingling Xue
2022 A* conf
ScalaGraph: A Scalable Accelerator for Massively Parallel Graph Processing.
HPCA
Pengcheng Yao, Long Zheng, Yu Huang, Qinggang Wang, Chuangyi Gui, Zhen Zeng, Xiaofei Liao, Hai Jin, Jingling Xue
2021 J jnl
FDGLib: A Communication Library for Efficient Large-Scale Graph Processing in FPGA-Accelerated Data Centers.
J. Comput. Sci. Technol.
Yu-Wei Wu, Qinggang Wang, Long Zheng, Xiaofei Liao, Hai Jin, Wenbin Jiang, Ran Zheng, Kan Hu
2021 — conf
Fast Sparse Deep Neural Network Inference with Flexible SpMM Optimization Space Exploration.
HPEC
Jie Xin, Xianqi Ye, Long Zheng, Qinggang Wang, Yu Huang, Pengcheng Yao, Linchen Yu, Xiaofei Liao, Hai Jin
2021 A conf
GraSU: A Fast Graph Update Library for FPGA-based Dynamic Graph Processing.
FPGA
Qinggang Wang, Long Zheng, Yu Huang, Pengcheng Yao, Chuangyi Gui, Xiaofei Liao, Hai Jin, Wenbin Jiang, Fubing Mao
2021 — conf
Productive High-Performance k-Truss Decomposition on GPU Using Linear Algebra.
HPEC
Runze Wang, Linchen Yu, Qinggang Wang, Jie Xin, Long Zheng
2021 B conf
SumPA: Efficient Pattern-Centric Graph Mining with Pattern Abstraction.
PACT
Chuangyi Gui, Xiaofei Liao, Long Zheng, Pengcheng Yao, Qinggang Wang, Hai Jin
2020 J jnl
A Conflict-free Scheduler for High-performance Graph Processing on Multi-pipeline FPGAs.
ACM Trans. Archit. Code Optim.
Qinggang Wang, Long Zheng, Jieshan Zhao, Xiaofei Liao, Hai Jin, Jingling Xue
2020 J jnl
Effective runtime scheduling for high-performance graph processing on heterogeneous dataflow architecture.
CCF Trans. High Perform. Comput.
Qingxiang Chen, Long Zheng, Xiaofei Liao, Hai Jin, Qinggang Wang
2020 A conf
Spara: An Energy-Efficient ReRAM-Based Accelerator for Sparse Graph Analytics Applications.
IPDPS
Long Zheng, Jieshan Zhao, Yu Huang, Qinggang Wang, Zhen Zeng, Jingling Xue, Xiaofei Liao, Hai Jin
2018 A conf
Scalable concurrency debugging with distributed graph processing.
CGO
Long Zheng, Xiaofei Liao, Hai Jin, Jieshan Zhao, Qinggang Wang
2010 J jnl
Distinguishing variance embedding.
Image Vis. Comput.
Qinggang Wang, Jianwei Li, Xuchu Wang
2010 J jnl
Some non-interior path-following methods based on a scaled central path for linear complementarity problems.
Comput. Optim. Appl.
Qinggang Wang, Jinling Zhao, Qingzhi Yang
2009 J jnl
Combining local and global information for nonlinear dimensionality reduction.
Neurocomputing
Qinggang Wang, Jianwei Li
2008 J jnl
Determination of the Selection Statistics and Best Significance Level in Backward Stepwise Logistic Regression.
Commun. Stat. Simul. Comput.
Qinggang Wang, John J. Koval, Catherine A. Mills, Kang-In David Lee