Determination of the Selection Statistics and Best Significance Level in Backward Stepwise Logistic Regression. - Qinggang Wang; John J. Koval; Catherine A. Mills; Kang-In David Lee (Commun. Stat. Simul. Comput., 2008)

Combining local and global information for nonlinear dimensionality reduction. - Qinggang Wang; Jianwei Li (Neurocomputing, 2009)

Some non-interior path-following methods based on a scaled central path for linear complementarity problems. - Qinggang Wang; Jinling Zhao; Qingzhi Yang (Comput. Optim. Appl., 2010)

Distinguishing variance embedding. - Qinggang Wang; Jianwei Li; Xuchu Wang (Image Vis. Comput., 2010)

Scalable concurrency debugging with distributed graph processing. - Long Zheng 003; Xiaofei Liao; Hai Jin 001; Jieshan Zhao; Qinggang Wang (CGO, 2018)

Spara: An Energy-Efficient ReRAM-Based Accelerator for Sparse Graph Analytics Applications. - Long Zheng 003; Jieshan Zhao; Yu Huang 013; Qinggang Wang; Zhen Zeng; Jingling Xue; Xiaofei Liao; Hai Jin 001 (IPDPS, 2020)

Effective runtime scheduling for high-performance graph processing on heterogeneous dataflow architecture. - Qingxiang Chen; Long Zheng 003; Xiaofei Liao; Hai Jin 001; Qinggang Wang (CCF Trans. High Perform. Comput., 2020)

A Conflict-free Scheduler for High-performance Graph Processing on Multi-pipeline FPGAs. - Qinggang Wang; Long Zheng 003; Jieshan Zhao; Xiaofei Liao; Hai Jin 001; Jingling Xue (ACM Trans. Archit. Code Optim., 2020)

SumPA: Efficient Pattern-Centric Graph Mining with Pattern Abstraction. - Chuangyi Gui; Xiaofei Liao; Long Zheng 003; Pengcheng Yao; Qinggang Wang; Hai Jin 001 (PACT, 2021)

GraSU: A Fast Graph Update Library for FPGA-based Dynamic Graph Processing. - Qinggang Wang; Long Zheng 003; Yu Huang 013; Pengcheng Yao; Chuangyi Gui; Xiaofei Liao; Hai Jin 001; Wenbin Jiang 001; Fubing Mao (FPGA, 2021)

Productive High-Performance k-Truss Decomposition on GPU Using Linear Algebra. - Runze Wang; Linchen Yu; Qinggang Wang; Jie Xin; Long Zheng 003 (HPEC, 2021)

Fast Sparse Deep Neural Network Inference with Flexible SpMM Optimization Space Exploration. - Jie Xin; Xianqi Ye; Long Zheng 003; Qinggang Wang; Yu Huang 013; Pengcheng Yao; Linchen Yu; Xiaofei Liao; Hai Jin 001 (HPEC, 2021)

FDGLib: A Communication Library for Efficient Large-Scale Graph Processing in FPGA-Accelerated Data Centers. - Yu-Wei Wu; Qinggang Wang; Long Zheng 003; Xiaofei Liao; Hai Jin 001; Wenbin Jiang 001; Ran Zheng; Kan Hu (J. Comput. Sci. Technol., 2021)

Accelerating Graph Convolutional Networks Using Crossbar-based Processing-In-Memory Architectures. - Yu Huang 013; Long Zheng 003; Pengcheng Yao; Qinggang Wang; Xiaofei Liao; Hai Jin 001; Jingling Xue (HPCA, 2022)

Hardware-Accelerated Hypergraph Processing with Chain-Driven Scheduling. - Qinggang Wang; Long Zheng 003; Jingrui Yuan; Yu Huang 013; Pengcheng Yao; Chuangyi Gui; Ao Hu; Xiaofei Liao; Hai Jin 001 (HPCA, 2022)

ScalaGraph: A Scalable Accelerator for Massively Parallel Graph Processing. - Pengcheng Yao; Long Zheng 003; Yu Huang 013; Qinggang Wang; Chuangyi Gui; Zhen Zeng; Xiaofei Liao; Hai Jin 001; Jingling Xue (HPCA, 2022)

Accelerating Sparse Deep Neural Network Inference Using GPU Tensor Cores. - Yufei Sun; Long Zheng 003; Qinggang Wang; Xiangyu Ye; Yu Huang 013; Pengcheng Yao; Xiaofei Liao; Hai Jin 001 (HPEC, 2022)

A General Offloading Approach for Near-DRAM Processing-In-Memory Architectures. - Dan Chen 006; Hai Jin 001; Long Zheng 003; Yu Huang 013; Pengcheng Yao; Chuangyi Gui; Qinggang Wang; Haifeng Liu 003; Haiheng He; Xiaofei Liao; Ran Zheng (IPDPS, 2022)

A Data-Centric Accelerator for High-Performance Hypergraph Processing. - Qinggang Wang; Long Zheng 003; Ao Hu; Yu Huang 013; Pengcheng Yao; Chuangyi Gui; Xiaofei Liao; Hai Jin 001; Jingling Xue (MICRO, 2022)

ReaDy: A ReRAM-Based Processing-in-Memory Accelerator for Dynamic Graph Convolutional Networks. - Yu Huang 013; Long Zheng 003; Pengcheng Yao; Qinggang Wang; Haifeng Liu 003; Xiaofei Liao; Hai Jin 001; Jingling Xue (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

MeG2: In-Memory Acceleration for Genome Graphs Analysis. - Yu Huang 013; Long Zheng 003; Haifeng Liu 003; Zhuoran Zhou; Dan Chen 006; Pengcheng Yao; Qinggang Wang; Xiaofei Liao; Hai Jin 001 (DAC, 2023)

AFaVS: Accurate Yet Fast Version Switching for Graph Processing Systems. - Long Zheng 003; Xiangyu Ye; Haifeng Liu 003; Qinggang Wang; Yu Huang 013; Chuangyi Gui; Pengcheng Yao; Xiaofei Liao; Hai Jin 001; Jingling Xue (ICDE, 2023)

High-Performance and Resource-Efficient Dynamic Memory Management in High-Level Synthesis. - Qinggang Wang; Long Zheng 003; Zhaozeng An; Haoqin Huang; Haoran Zhu; Yu Huang 013; Pengcheng Yao; Xiaofei Liao; Hai Jin 001 (DAC, 2024)

A Scalable, Efficient, and Robust Dynamic Memory Management Library for HLS-based FPGAs. - Qinggang Wang; Long Zheng 003; Zhaozeng An; Shuyi Xiong; Runze Wang; Yu Huang 013; Pengcheng Yao; Xiaofei Liao; Hai Jin 001; Jingling Xue (MICRO, 2024)

Towards High-Performance Graph Processing: From a Hardware/Software Co-Design Perspective. - Xiaofei Liao; Wenju Zhao; Hai Jin 001; Pengcheng Yao; Yu Huang 013; Qinggang Wang; Jin Zhao 003; Long Zheng 003; Yu Zhang 027; Zhiyuan Shao (J. Comput. Sci. Technol., 2024)

An Efficient GCNs Accelerator Using 3D-Stacked Processing-in-Memory Architectures. - Runze Wang; Ao Hu; Long Zheng 003; Qinggang Wang; Jingrui Yuan; Haifeng Liu 003; Linchen Yu; Xiaofei Liao; Hai Jin 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

PhGraph: A High-Performance ReRAM-Based Accelerator for Hypergraph Applications. - Long Zheng 003; Ao Hu; Qinggang Wang; Yu Huang 013; Haoqin Huang; Pengcheng Yao; Shuyi Xiong; Xiaofei Liao; Hai Jin 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

MeHyper: Accelerating Hypergraph Neural Networks by Exploring Implicit Dataflows. - Wenju Zhao; Pengcheng Yao; Dan Chen 006; Long Zheng 003; Xiaofei Liao; Qinggang Wang; Shaobo Ma; Yu Li; Haifeng Liu 003; Wenjing Xiao; Yufei Sun; Bing Zhu; et al. (HPCA, 2025)