Ruiqi Chen

Orcid: 0000-0001-6837-5675

Affiliations:
  • Fudan University, Shanghai, China


According to our database1, Ruiqi Chen authored at least 34 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
FANE: FPGA-Based FP8 Approximate Neural Network Engine.
IEEE Trans. Very Large Scale Integr. Syst., June, 2026

Diff-Acc: An Efficient FPGA Accelerator for Unconditional Diffusion Models.
ACM Trans. Embed. Comput. Syst., May, 2026

DIF-LUT Pro: An Automated Tool for Simple yet Scalable Approximation of Nonlinear Activation on FPGA.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 2026

FP8ApproxLib: An FPGA-based approximate multiplier library for 8-bit floating point.
J. Syst. Archit., 2026

BenDan: Benchmarking DPU performance on FPGAs.
Integr., 2026

Power-Efficient Spiking Conversion of Deep Unfolded Transformers.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2026

IDSPfree: An FPGA-Based Intrusion Detection System with DSP-Free Design.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2026

Breaking the BRAM Wall: Scalable Vina FPGA Acceleration via Distributed Grid Storage and Cross-Board Long-Ring Pipelines.
Proceedings of the Design, Automation & Test in Europe Conference, 2026

Equicore: Accelerating Clebsch-Gordan Tensor Product of Equivariant Neural Networks on FPGA.
Proceedings of the Design, Automation & Test in Europe Conference, 2026

2025
Vina-FPGA2: a high-level parallelized hardware-accelerated molecular docking tool based on the inter-module pipeline.
Frontiers Inf. Technol. Electron. Eng., November, 2025

FASE: An FPGA-Based Accelerator for Lightweight Sample Entropy With Monte Carlo Sampling.
IEEE Trans. Very Large Scale Integr. Syst., October, 2025

EEVS: Redeploying Discarded Smartphones for Economic and Ecological Drug Molecules Virtual Screening.
IEEE Trans. Sustain. Comput., 2025

Diff-DiT: Temporal Differential Accelerator for Low-bit Diffusion Transformers on FPGA.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

Hummingbird: A Smaller and Faster Large Language Model Accelerator on Embedded FPGA.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

TrackGNN: A Highly Parallelized and Self-Adaptive GNN Accelerator for Track Reconstruction on FPGAs.
Proceedings of the 33rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2025

FPGA-Based Approximate Multiplier for FP8.
Proceedings of the 33rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2025

ATE-GCN: An FPGA-Based Graph Convolutional Network Accelerator with Asymmetrical Ternary Quantization.
Proceedings of the Design, Automation & Test in Europe Conference, 2025

2024
Graph-OPU: A Highly Flexible FPGA-Based Overlay Processor for Graph Neural Networks.
ACM Trans. Reconfigurable Technol. Syst., December, 2024

FPGA-Based Sparse Matrix Multiplication Accelerators: From State-of-the-Art to Future Opportunities.
ACM Trans. Reconfigurable Technol. Syst., December, 2024

Vina-FPGA-Cluster: Multi-FPGA Based Molecular Docking Tool With High-Accuracy and Multi-Level Parallelism.
IEEE Trans. Biomed. Circuits Syst., December, 2024

A Power-Efficient Hardware Implementation of L-Mul.
CoRR, 2024

S-LGCN: Software-Hardware Co-Design for Accelerating LightGCN.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023
Vina-FPGA: A Hardware-Accelerated Molecular Docking Tool With Fixed-Point Quantization and Low-Level Parallelism.
IEEE Trans. Very Large Scale Integr. Syst., April, 2023

eSSpMV: An Embedded-FPGA-based Hardware Accelerator for Symmetric Sparse Matrix-Vector Multiplication.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Edge FPGA-based Onsite Neural Network Training.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

g-BERT: Enabling Green BERT Deployment on FPGA via Hardware-Aware Hybrid Pruning.
Proceedings of the IEEE International Conference on Communications, 2023

FPGA Accelerating Multi-Source Transfer Learning with GAT for Bioactivities of Ligands Targeting Orphan G Protein-Coupled Receptors.
Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023

Graph-OPU: A Highly Integrated FPGA-Based Overlay Processor for Graph Neural Networks.
Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023

Graph-OPU: An FPGA-Based Overlay Processor for Graph Neural Networks.
Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2023

2022
A survey of field programmable gate array (FPGA)-based graph convolutional neural network accelerators: challenges and opportunities.
PeerJ Comput. Sci., 2022

Implementation of quasi-Newton algorithm on FPGA for IoT endpoint devices.
Int. J. Secur. Networks, 2022

Evaluation of Fast Sample Entropy Algorithms on FPGAs: From Performance to Energy Efficiency.
Entropy, 2022

Biological Activity Prediction of GPCR-targeting Ligands on Heterogeneous FPGA-based Accelerators.
Proceedings of the 30th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2022

2021
Gutter oil detection for food safety based on multi-feature machine learning and implementation on FPGA with approximate multipliers.
PeerJ Comput. Sci., 2021


  Loading...