Robust mesh deformation with salient features preservation. - Yong Zhao 004; Shengjie Lu; Hailong Qian; Pengcheng Yao (Sci. China Inf. Sci., 2016)

Towards Dataflow-Based Graph Accelerator. - Hai Jin 001; Pengcheng Yao; Xiaofei Liao; Long Zheng 003; Xianliang Li (ICDCS, 2017)

Towards dataflow based graph processing. - Hai Jin 001; Pengcheng Yao; Xiaofei Liao (Sci. China Inf. Sci., 2017)

An efficient graph accelerator with parallel data conflict management. - Pengcheng Yao; Long Zheng 003; Xiaofei Liao; Hai Jin 001; Bingsheng He (PACT, 2018)

Biopanning data bank 2018: hugging next generation phage display. - Bifang He; Lixu Jiang; Yaocong Duan; Guoshi Chai; Yewei Fang; Juanjuan Kang; Min Yu; Ning Li; Zhongjie Tang; Pengcheng Yao; Pengcheng Wu; Ratmir Derda; et al. (Database J. Biol. Databases Curation, 2018)

An Efficient Graph Accelerator with Parallel Data Conflict Management. - Pengcheng Yao (CoRR, 2018)

RAGra: Leveraging Monolithic 3D ReRAM for Massively-Parallel Graph Processing. - Yu Huang 013; Long Zheng 003; Xiaofei Liao; Hai Jin 001; Pengcheng Yao; Chuangyi Gui (DATE, 2019)

Fast Triangle Counting on GPU. - Chuangyi Gui; Long Zheng 003; Pengcheng Yao; Xiaofei Liao; Hai Jin 001 (HPEC, 2019)

A Heterogeneous PIM Hardware-Software Co-Design for Energy-Efficient Graph Processing. - Yu Huang 013; Long Zheng 003; Pengcheng Yao; Jieshan Zhao; Xiaofei Liao; Hai Jin 001; Jingling Xue (IPDPS, 2020)

A Locality-Aware Energy-Efficient Accelerator for Graph Mining Applications. - Pengcheng Yao; Long Zheng 003; Zhen Zeng; Yu Huang 013; Chuangyi Gui; Xiaofei Liao; Hai Jin 001; Jingling Xue (MICRO, 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)

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)

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)

An Efficient Graph Accelerator with Distributed On-Chip Memory Hierarchy. - Ran Zheng; Yingxin Jiang; Yibo Wang; Yongbo Su; Long Zheng 003; Pengcheng Yao; Xiaofei Liao; Hai Jin 001 (ICA3PP, 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)

Multi-scale feature aggregation network for Image super-resolution. - Wenlong Chen; Pengcheng Yao; Shaoyan Gai; Feipeng Da (Appl. Intell., 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)

Toward Real-World Super-Resolution Technique for Fringe Projection Profilometry. - Pengcheng Yao; Shaoyan Gai; Feipeng Da (IEEE Trans. Instrum. Meas., 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)

Accelerating Graph Convolutional Networks Through a PIM-Accelerated Approach. - Hai Jin 001; Dan Chen 006; Long Zheng 003; Yu Huang 013; Pengcheng Yao; Jin Zhao 003; Xiaofei Liao; Wenbin Jiang 001 (IEEE Trans. Computers, 2023)

SpaHet: A Software/Hardware Co-design for Accelerating Heterogeneous-Sparsity based Sparse Matrix Multiplication. - Haoqin Huang; Pengcheng Yao; Zhaozeng An; Yufei Sun; Ao Hu; Peng Xu 003; Long Zheng 003; Xiaofei Liao; Hai Jin 001 (DAC, 2024)

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)

Error Model and Concise Temporal Network for Indirect Illumination in 3D Reconstruction. - Yuchong Chen; Pengcheng Yao; Rui Gao; Wei Zhang; Shaoyan Gai; Jian Yu 008; Feipeng Da (IEEE Trans. Image Process., 2024)

Accurate 3D Measurement of Complex Texture Objects by Height Compensation Using a Dual-Projector Structure. - Pengcheng Yao; Yuchong Chen; Shaoyan Gai; Feipeng Da (IEEE Trans. Image Process., 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)

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)

PRAGA: A Priority-Aware Hardware/Software Co-design for High-Throughput Graph Processing Acceleration. - Long Zheng 003; Bing Zhu; Pengcheng Yao; Yuhang Zhou; Chengao Pan; Wenju Zhao; Xiaofei Liao; Hai Jin 001; Jingling Xue (ACM Trans. Archit. Code Optim., 2025)