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2020 – today
- 2024
[j11]Xiaofei Liao, Wen-Ju Zhao, Hai Jin, Pengcheng Yao, Yu Huang, Qinggang Wang, Jin Zhao, Long Zheng, Yu Zhang, Zhiyuan Shao:
Towards High-Performance Graph Processing: From a Hardware/Software Co-Design Perspective. J. Comput. Sci. Technol. 39(2): 245-266 (2024)- [j10]Long Zheng
, Ao Hu, Qinggang Wang, Yu Huang, Haoqin Huang, Pengcheng Yao, Shuyi Xiong, Xiaofei Liao, Hai Jin:
PhGraph: A High-Performance ReRAM-Based Accelerator for Hypergraph Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(5): 1318-1331 (2024) - [j9]Runze Wang, Ao Hu, Long Zheng, Qinggang Wang, Jingrui Yuan, Haifeng Liu, Linchen Yu, Xiaofei Liao, Hai Jin:
An Efficient GCNs Accelerator Using 3D-Stacked Processing-in-Memory Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(5): 1360-1373 (2024) - [c15]Qinggang Wang, Long Zheng, Zhaozeng An, Haoqin Huang, Haoran Zhu, Yu Huang, Pengcheng Yao, Xiaofei Liao, Hai Jin:
High-Performance and Resource-Efficient Dynamic Memory Management in High-Level Synthesis. DAC 2024: 203:1-203:6 - 2023
- [c14]Yu Huang, Long Zheng, Haifeng Liu, Zhuoran Zhou, Dan Chen, Pengcheng Yao, Qinggang Wang, Xiaofei Liao, Hai Jin:
MeG2: In-Memory Acceleration for Genome Graphs Analysis. DAC 2023: 1-6 - [c13]Long Zheng, Xiangyu Ye, Haifeng Liu, Qinggang Wang, Yu Huang, Chuangyi Gui, Pengcheng Yao, Xiaofei Liao, Hai Jin, Jingling Xue:
AFaVS: Accurate Yet Fast Version Switching for Graph Processing Systems. ICDE 2023: 53-66 - 2022
- [j8]Yu Huang, Long Zheng, Pengcheng Yao, Qinggang Wang, Haifeng Liu, Xiaofei Liao, Hai Jin, Jingling Xue:
ReaDy: A ReRAM-Based Processing-in-Memory Accelerator for Dynamic Graph Convolutional Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 3567-3578 (2022) - [c12]Qinggang Wang, Long Zheng, Jingrui Yuan, Yu Huang, Pengcheng Yao, Chuangyi Gui, Ao Hu, Xiaofei Liao, Hai Jin:
Hardware-Accelerated Hypergraph Processing with Chain-Driven Scheduling. HPCA 2022: 184-198 - [c11]Pengcheng Yao, Long Zheng, Yu Huang, Qinggang Wang, Chuangyi Gui, Zhen Zeng, Xiaofei Liao, Hai Jin, Jingling Xue:
ScalaGraph: A Scalable Accelerator for Massively Parallel Graph Processing. HPCA 2022: 199-212 - [c10]Yu Huang, Long Zheng, Pengcheng Yao, Qinggang Wang, Xiaofei Liao, Hai Jin, Jingling Xue:
Accelerating Graph Convolutional Networks Using Crossbar-based Processing-In-Memory Architectures. HPCA 2022: 1029-1042 - [c9]Yufei Sun, Long Zheng, Qinggang Wang, Xiangyu Ye, Yu Huang, Pengcheng Yao, Xiaofei Liao, Hai Jin:
Accelerating Sparse Deep Neural Network Inference Using GPU Tensor Cores. HPEC 2022: 1-7 - [c8]Dan Chen, Hai Jin, Long Zheng, Yu Huang, Pengcheng Yao, Chuangyi Gui, Qinggang Wang, Haifeng Liu, Haiheng He, Xiaofei Liao, Ran Zheng:
A General Offloading Approach for Near-DRAM Processing-In-Memory Architectures. IPDPS 2022: 246-257 - [c7]Qinggang Wang, Long Zheng, Ao Hu, Yu Huang, Pengcheng Yao, Chuangyi Gui, Xiaofei Liao, Hai Jin, Jingling Xue:
A Data-Centric Accelerator for High-Performance Hypergraph Processing. MICRO 2022: 1326-1341 - 2021
- [j7]Yu-Wei Wu, Qinggang Wang, Long Zheng, Xiaofei Liao, Hai Jin, Wenbin Jiang, Ran Zheng, Kan Hu:
FDGLib: A Communication Library for Efficient Large-Scale Graph Processing in FPGA-Accelerated Data Centers. J. Comput. Sci. Technol. 36(5): 1051-1070 (2021) - [c6]Chuangyi Gui, Xiaofei Liao, Long Zheng, Pengcheng Yao, Qinggang Wang, Hai Jin:
SumPA: Efficient Pattern-Centric Graph Mining with Pattern Abstraction. PACT 2021: 318-330 - [c5]Qinggang Wang, Long Zheng, Yu Huang, Pengcheng Yao, Chuangyi Gui, Xiaofei Liao, Hai Jin, Wenbin Jiang, Fubing Mao:
GraSU: A Fast Graph Update Library for FPGA-based Dynamic Graph Processing. FPGA 2021: 149-159 - [c4]Runze Wang, Linchen Yu, Qinggang Wang, Jie Xin, Long Zheng:
Productive High-Performance k-Truss Decomposition on GPU Using Linear Algebra. HPEC 2021: 1-7 - [c3]Jie Xin, Xianqi Ye, Long Zheng, Qinggang Wang, Yu Huang, Pengcheng Yao, Linchen Yu, Xiaofei Liao, Hai Jin:
Fast Sparse Deep Neural Network Inference with Flexible SpMM Optimization Space Exploration. HPEC 2021: 1-7 - 2020
- [j6]Qingxiang Chen, Long Zheng, Xiaofei Liao, Hai Jin, Qinggang Wang:
Effective runtime scheduling for high-performance graph processing on heterogeneous dataflow architecture. CCF Trans. High Perform. Comput. 2(4): 362-375 (2020) - [j5]Qinggang Wang, Long Zheng, Jieshan Zhao, Xiaofei Liao, Hai Jin, Jingling Xue:
A Conflict-free Scheduler for High-performance Graph Processing on Multi-pipeline FPGAs. ACM Trans. Archit. Code Optim. 17(2): 14:1-14:26 (2020) - [c2]Long Zheng, Jieshan Zhao, Yu Huang, Qinggang Wang, Zhen Zeng, Jingling Xue, Xiaofei Liao, Hai Jin:
Spara: An Energy-Efficient ReRAM-Based Accelerator for Sparse Graph Analytics Applications. IPDPS 2020: 696-707
2010 – 2019
- 2018
- [c1]Long Zheng, Xiaofei Liao, Hai Jin, Jieshan Zhao, Qinggang Wang:
Scalable concurrency debugging with distributed graph processing. CGO 2018: 188-199 - 2010
- [j4]Qinggang Wang, Jinling Zhao, Qingzhi Yang:
Some non-interior path-following methods based on a scaled central path for linear complementarity problems. Comput. Optim. Appl. 46(1): 31-49 (2010) - [j3]Qinggang Wang, Jianwei Li, Xuchu Wang:
Distinguishing variance embedding. Image Vis. Comput. 28(6): 872-880 (2010)
2000 – 2009
- 2009
- [j2]Qinggang Wang, Jianwei Li:
Combining local and global information for nonlinear dimensionality reduction. Neurocomputing 72(10-12): 2235-2241 (2009) - 2008
- [j1]Qinggang Wang, John J. Koval, Catherine A. Mills, Kang-In David Lee:
Determination of the Selection Statistics and Best Significance Level in Backward Stepwise Logistic Regression. Commun. Stat. Simul. Comput. 37(1): 62-72 (2008)
Coauthor Index
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