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Ruiqi Chen 0001
Person information
- affiliation: Fudan University, Shanghai, China
Other persons with the same name
- Ruiqi Chen — disambiguation page
- Ruiqi Chen 0002
— Washington University in St. Louis, MO, USA - Ruiqi Chen 0003
— Soochow University, Suzhou, China - Ruiqi Chen 0004
— University of Washington, Seattle, WA, USA (and 1 more) - Ruiqi Chen 0005 — Beijing University of Posts and Telecommunications, Beijing, China
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2020 – today
- 2026
[j16]Han Bao
, Xingyu Liu, Xiaoke Wang
, Ahmed Sadaqa
, Yanxiang Zhu
, Shidi Tang
, Ruiqi Chen
, Ming Ling
, Bruno da Silva
:
BenDan: Benchmarking DPU performance on FPGAs. Integr. 109: 102695 (2026)
[j15]Ruiqi Chen
, Yangxintong Lyu
, Han Bao
, Shidi Tang
, Jindong Li
, Yanxiang Zhu
, Ming Ling
, Bruno da Silva
:
FP8ApproxLib: An FPGA-based approximate multiplier library for 8-bit floating point. J. Syst. Archit. 173: 103686 (2026)
[j14]Yang Liu
, Shuyang Li
, Yu Li
, Ruiqi Chen
, Shun Li
, Jun Yu
, Kun Wang
:
DIF-LUT Pro: An Automated Tool for Simple yet Scalable Approximation of Nonlinear Activation on FPGA. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 45(1): 295-308 (2026)
[j13]Shidi Tang
, Ruiqi Chen
, Rui Liu
, Yuxuan Lv
, Pengwei Zheng
, He Li
, Ming Ling
:
Diff-Acc: An Efficient FPGA Accelerator for Unconditional Diffusion Models. ACM Trans. Embed. Comput. Syst. 25(3): 48:1-48:21 (2026)
[j12]Han Bao
, Shidi Tang
, Jingdong Li
, Ahmed Sadaqa
, Ruiqi Chen
, Ming Ling
, Bruno da Silva
:
FANE: FPGA-Based FP8 Approximate Neural Network Engine. IEEE Trans. Very Large Scale Integr. Syst. 34(6): 2015-2019 (2026)
[c18]Shidi Tang, Chuanzhao Zhang, Ruiqi Chen
, Yuxuan Lv, Bruno da Silva
, Ming Ling:
Equicore: Accelerating Clebsch-Gordan Tensor Product of Equivariant Neural Networks on FPGA. DATE 2026: 1-7
[c17]Ankun Tian, Shidi Tang, Ruiqi Chen, Ming Ling:
Breaking the BRAM Wall: Scalable Vina FPGA Acceleration via Distributed Grid Storage and Cross-Board Long-Ring Pipelines. DATE 2026: 1-7
[c16]Ahmed Sadaqa
, Brent De Weerdt
, Ruiqi Chen
, Nikos Deligiannis
, Bruno da Silva
:
Power-Efficient Spiking Conversion of Deep Unfolded Transformers. ISCAS 2026: 499-503
[c15]Abdessamad Nassihi
, Ahmed Sadaqa
, Muhammad Iqbal Khan
, Han Bao
, Ruiqi Chen
, Bruno da Silva
:
IDSPfree: An FPGA-Based Intrusion Detection System with DSP-Free Design. ISCAS 2026: 3067-3071
[c14]Shuyang Li, Hanqing Zhang, Ruiqi Chen, Bruno da Silva, Giorgian Borca-Tasciuc, Dantong Yu, Cong Callie Hao:
TrackGNN: A Highly Parallelized and Self-Adaptive GNN Accelerator for Track Reconstruction on FPGAs. ISQED 2026: 1-8- 2025
[j11]Ming Ling
, Shidi Tang, Ruiqi Chen
, Xin Li, Yanxiang Zhu:
Vina-FPGA2: a high-level parallelized hardware-accelerated molecular docking tool based on the inter-module pipeline. Frontiers Inf. Technol. Electron. Eng. 26(11): 2215-2230 (2025)
[j10]Ming Ling
, Chuanzhao Zhang
, Shidi Tang
, Ruiqi Chen
, Yanxiang Zhu
:
EEVS: Redeploying Discarded Smartphones for Economic and Ecological Drug Molecules Virtual Screening. IEEE Trans. Sustain. Comput. 10(5): 830-842 (2025)
[j9]Jiayu Liu
, Yuanhang Li, Zhengyang Huang, Chao Chen
, Ruiqi Chen
, Bruno da Silva
:
FASE: An FPGA-Based Accelerator for Lightweight Sample Entropy With Monte Carlo Sampling. IEEE Trans. Very Large Scale Integr. Syst. 33(10): 2883-2896 (2025)
[c13]Ruiqi Chen
, Jiayu Liu
, Shidi Tang, Yang Liu, Yanxiang Zhu, Ming Ling, Bruno da Silva
:
ATE-GCN: An FPGA-Based Graph Convolutional Network Accelerator with Asymmetrical Ternary Quantization. DATE 2025: 1-6
[c12]Ruiqi Chen
, Yangxintong Lyu
, Han Bao
, Jiayu Liu
, Yanxiang Zhu, Shidi Tang, Ming Ling, Bruno da Silva
:
FPGA-Based Approximate Multiplier for FP8. FCCM 2025: 1-9
[c11]Shuyang Li
, Hanqing Zhang, Ruiqi Chen
, Bruno da Silva
, Giorgian Borca-Tasciuc, Dantong Yu, Cong Hao
:
TrackGNN: A Highly Parallelized and Self-Adaptive GNN Accelerator for Track Reconstruction on FPGAs. FCCM 2025: 269
[c10]Jindong Li, Tenglong Li, Ruiqi Chen
, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng:
Hummingbird: A Smaller and Faster Large Language Model Accelerator on Embedded FPGA. ICCAD 2025: 1-9
[c9]Shidi Tang, Pengwei Zheng, Ruiqi Chen
, Yuxuan Lv, Bruno da Silva
, Ming Ling:
Diff-DiT: Temporal Differential Accelerator for Low-bit Diffusion Transformers on FPGA. ICCAD 2025: 1-9
[i2]Jindong Li, Tenglong Li, Ruiqi Chen
, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng:
Hummingbird: A Smaller and Faster Large Language Model Accelerator on Embedded FPGA. CoRR abs/2507.03308 (2025)- 2024
[j8]Ming Ling
, Zhihao Feng
, Ruiqi Chen
, Yi Shao
, Shidi Tang
, Yanxiang Zhu
:
Vina-FPGA-Cluster: Multi-FPGA Based Molecular Docking Tool With High-Accuracy and Multi-Level Parallelism. IEEE Trans. Biomed. Circuits Syst. 18(6): 1321-1337 (2024)
[j7]Enhao Tang
, Shun Li
, Ruiqi Chen
, Hao Zhou
, Yuhanxiao Ma
, Haoyang Zhang
, Jun Yu
, Kun Wang
:
Graph-OPU: A Highly Flexible FPGA-Based Overlay Processor for Graph Neural Networks. ACM Trans. Reconfigurable Technol. Syst. 17(4): 58:1-58:33 (2024)
[j6]Yajing Liu, Ruiqi Chen
, Shuyang Li, Jing Yang, Shun Li, Bruno da Silva
:
FPGA-Based Sparse Matrix Multiplication Accelerators: From State-of-the-Art to Future Opportunities. ACM Trans. Reconfigurable Technol. Syst. 17(4): 59:1-59:37 (2024)
[c8]Shun Li, Ruiqi Chen
, Enhao Tang, Yajing Liu, Jing Yang, Kun Wang:
S-LGCN: Software-Hardware Co-Design for Accelerating LightGCN. DATE 2024: 1-6
[i1]Ruiqi Chen
, Yangxintong Lyu, Han Bao, Bruno da Silva:
A Power-Efficient Hardware Implementation of L-Mul. CoRR abs/2412.18948 (2024)- 2023
[j5]Ming Ling
, Qingde Lin
, Ruiqi Chen
, Haimeng Qi, Mengru Lin, Yanxiang Zhu
, Jiansheng Wu:
Vina-FPGA: A Hardware-Accelerated Molecular Docking Tool With Fixed-Point Quantization and Low-Level Parallelism. IEEE Trans. Very Large Scale Integr. Syst. 31(4): 484-497 (2023)
[c7]Ruiqi Chen
, Haoyang Zhang
, Yuhanxiao Ma
, Enhao Tang
, Shun Li
, Yanxiang Zhu
, Jun Yu
, Kun Wang
:
Graph-OPU: An FPGA-Based Overlay Processor for Graph Neural Networks. FPGA 2023: 49
[c6]Ruiqi Chen
, Haoyang Zhang
, Shun Li
, Enhao Tang, Jun Yu, Kun Wang:
Graph-OPU: A Highly Integrated FPGA-Based Overlay Processor for Graph Neural Networks. FPL 2023: 228-234
[c5]Ruiqi Chen
, Haoyang Zhang
, Jun Yu, Kun Wang:
FPGA Accelerating Multi-Source Transfer Learning with GAT for Bioactivities of Ligands Targeting Orphan G Protein-Coupled Receptors. FPL 2023: 317-321
[c4]Yueyin Bai, Hao Zhou, Ruiqi Chen
, Kuangjie Zou, Jialin Cao, Haoyang Zhang
, Jianli Chen, Jun Yu, Kun Wang:
g-BERT: Enabling Green BERT Deployment on FPGA via Hardware-Aware Hybrid Pruning. ICC 2023: 1706-1711
[c3]Ruiqi Chen
, Haoyang Zhang
, Yu Li, Runzhou Zhang, Guoyu Li, Jun Yu, Kun Wang:
Edge FPGA-based Onsite Neural Network Training. ISCAS 2023: 1-5
[c2]Ruiqi Chen
, Haoyang Zhang
, Yuhanxiao Ma, Jianli Chen, Jun Yu, Kun Wang:
eSSpMV: An Embedded-FPGA-based Hardware Accelerator for Symmetric Sparse Matrix-Vector Multiplication. ISCAS 2023: 1-5- 2022
[j4]Chao Chen
, Bruno da Silva
, Ruiqi Chen
, Shun Li
, Jianqing Li, Chengyu Liu:
Evaluation of Fast Sample Entropy Algorithms on FPGAs: From Performance to Energy Efficiency. Entropy 24(9): 1177 (2022)
[j3]Shizhen Huang
, Anhua Guo, Kaikai Su, Siyu Chen
, Ruiqi Chen
:
Implementation of quasi-Newton algorithm on FPGA for IoT endpoint devices. Int. J. Secur. Networks 17(2): 124-134 (2022)
[j2]Shun Li
, Yuxuan Tao, Enhao Tang, Ting Xie, Ruiqi Chen
:
A survey of field programmable gate array (FPGA)-based graph convolutional neural network accelerators: challenges and opportunities. PeerJ Comput. Sci. 8: e1166 (2022)
[c1]Ruiqi Chen
, Yuhanxiao Ma, Shaodong Zheng, Shizhen Huang
, Chao Chen, Jun Yu, Kun Wang:
Biological Activity Prediction of GPCR-targeting Ligands on Heterogeneous FPGA-based Accelerators. FCCM 2022: 1- 2021
[j1]Wei Jiang, Yuhanxiao Ma, Ruiqi Chen
:
Gutter oil detection for food safety based on multi-feature machine learning and implementation on FPGA with approximate multipliers. PeerJ Comput. Sci. 7: e774 (2021)
Coauthor Index

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last updated on 2026-07-06 02:36 CEST by the dblp team
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