Gutter oil detection for food safety based on multi-feature machine learning and implementation on FPGA with approximate multipliers. - Wei Jiang 016; Yuhanxiao Ma; Ruiqi Chen 001 (PeerJ Comput. Sci., 2021)

Biological Activity Prediction of GPCR-targeting Ligands on Heterogeneous FPGA-based Accelerators. - Ruiqi Chen 001; Yuhanxiao Ma; Shaodong Zheng; Shizhen Huang; Chao Chen 042; Jun Yu 010; Kun Wang 005 (FCCM, 2022)

Evaluation of Fast Sample Entropy Algorithms on FPGAs: From Performance to Energy Efficiency. - Chao Chen 042; Bruno da Silva 001; Ruiqi Chen 001; Shun Li; Jianqing Li 002; Chengyu Liu 001 (Entropy, 2022)

Implementation of quasi-Newton algorithm on FPGA for IoT endpoint devices. - Shizhen Huang; Anhua Guo; Kaikai Su; Siyu Chen; Ruiqi Chen 001 (Int. J. Secur. Networks, 2022)

A survey of field programmable gate array (FPGA)-based graph convolutional neural network accelerators: challenges and opportunities. - Shun Li; Yuxuan Tao; Enhao Tang; Ting Xie; Ruiqi Chen 001 (PeerJ Comput. Sci., 2022)

Graph-OPU: An FPGA-Based Overlay Processor for Graph Neural Networks. - Ruiqi Chen 001; Haoyang Zhang; Yuhanxiao Ma; Enhao Tang; Shun Li; Yanxiang Zhu; Jun Yu 010; Kun Wang 005 (FPGA, 2023)

Graph-OPU: A Highly Integrated FPGA-Based Overlay Processor for Graph Neural Networks. - Ruiqi Chen 001; Haoyang Zhang; Shun Li; Enhao Tang; Jun Yu 010; Kun Wang 005 (FPL, 2023)

FPGA Accelerating Multi-Source Transfer Learning with GAT for Bioactivities of Ligands Targeting Orphan G Protein-Coupled Receptors. - Ruiqi Chen 001; Haoyang Zhang; Jun Yu 010; Kun Wang 005 (FPL, 2023)

g-BERT: Enabling Green BERT Deployment on FPGA via Hardware-Aware Hybrid Pruning. - Yueyin Bai; Hao Zhou 008; Ruiqi Chen 001; Kuangjie Zou; Jialin Cao; Haoyang Zhang; Jianli Chen; Jun Yu 010; Kun Wang 005 (ICC, 2023)

Edge FPGA-based Onsite Neural Network Training. - Ruiqi Chen 001; Haoyang Zhang; Yu Li 003; Runzhou Zhang; Guoyu Li; Jun Yu 010; Kun Wang 005 (ISCAS, 2023)

eSSpMV: An Embedded-FPGA-based Hardware Accelerator for Symmetric Sparse Matrix-Vector Multiplication. - Ruiqi Chen 001; Haoyang Zhang; Yuhanxiao Ma; Jianli Chen; Jun Yu 010; Kun Wang 005 (ISCAS, 2023)

Vina-FPGA: A Hardware-Accelerated Molecular Docking Tool With Fixed-Point Quantization and Low-Level Parallelism. - Ming Ling; Qingde Lin; Ruiqi Chen 001; Haimeng Qi; Mengru Lin; Yanxiang Zhu; Jiansheng Wu (IEEE Trans. Very Large Scale Integr. Syst., 2023)

S-LGCN: Software-Hardware Co-Design for Accelerating LightGCN. - Shun Li; Ruiqi Chen 001; Enhao Tang; Yajing Liu; Jing Yang; Kun Wang 005 (DATE, 2024)

A Power-Efficient Hardware Implementation of L-Mul. - Ruiqi Chen 001; Yangxintong Lyu; Han Bao; Bruno da Silva 001 (CoRR, 2024)

Vina-FPGA-Cluster: Multi-FPGA Based Molecular Docking Tool With High-Accuracy and Multi-Level Parallelism. - Ming Ling; Zhihao Feng; Ruiqi Chen 001; Yi Shao; Shidi Tang; Yanxiang Zhu (IEEE Trans. Biomed. Circuits Syst., 2024)

FPGA-Based Sparse Matrix Multiplication Accelerators: From State-of-the-Art to Future Opportunities. - Yajing Liu; Ruiqi Chen 001; Shuyang Li; Jing Yang; Shun Li; Bruno da Silva 001 (ACM Trans. Reconfigurable Technol. Syst., 2024)

Graph-OPU: A Highly Flexible FPGA-Based Overlay Processor for Graph Neural Networks. - Enhao Tang; Shun Li; Ruiqi Chen 001; Hao Zhou 008; Yuhanxiao Ma; Haoyang Zhang; Jun Yu 010; Kun Wang 005 (ACM Trans. Reconfigurable Technol. Syst., 2024)

ATE-GCN: An FPGA-Based Graph Convolutional Network Accelerator with Asymmetrical Ternary Quantization. - Ruiqi Chen 001; Jiayu Liu; Shidi Tang; Yang Liu; Yanxiang Zhu; Ming Ling; Bruno Da Silva (DATE, 2025)

FPGA-Based Approximate Multiplier for FP8. - Ruiqi Chen 001; Yangxintong Lyu; Han Bao; Jiayu Liu; Yanxiang Zhu; Shidi Tang; Ming Ling; Bruno da Silva 001 (FCCM, 2025)

TrackGNN: A Highly Parallelized and Self-Adaptive GNN Accelerator for Track Reconstruction on FPGAs. - Shuyang Li; Hanqing Zhang; Ruiqi Chen 001; Bruno da Silva 001; Giorgian Borca-Tasciuc; Dantong Yu; Cong Hao (FCCM, 2025)