Publications
2025
ATE-GCN: An FPGA-based Graph Convolutional Network Accelerator with Asymmetrical Ternary Quantization
DOI: TBD
2025 Design, Automation & Test in Europe Conference & Exhibition
2024
Vina-FPGA-Cluster: Multi-FPGA Based Molecular Docking Tool with High-Accuracy and Multi-Level Parallelism
DOI: 10.1109/TBCAS.2024.3388323
IEEE Transactions on Biomedical Circuits and Systems, 2024, 18(6): 1321-1337.
FPGA-Based Sparse Matrix Multiplication Accelerators: From State-of-the-art to Future Opportunities
DOI: 10.1145/3687480
ACM Transactions on Reconfigurable Technology and Systems, 2024, 17(4), Article 59 (November 2024): 1-37.
S-LGCN: Software-Hardware Co-Design for Accelerating LightGCN
DOI: 10.23919/DATE58400.2024.10546640
2024 Design, Automation & Test in Europe Conference & Exhibition
2023
Graph-OPU: A Highly Integrated FPGA-Based Overlay Processor for Graph Neural Networks
DOI: 10.1109/FPL60245.2023.00039
2023 33rd International Conference on Field-Programmable Logic and Applications
FPGA Accelerating Multi-source Transfer Learning with GAT for Bioactivities of Ligands Targeting Orphan G Protein-coupled Receptors
DOI: 10.1109/FPL60245.2023.00054
2023 33rd International Conference on Field-Programmable Logic and Applications
g-BERT: Enabling Green BERT Deployment on FPGA via Hardware-Aware Hybrid Pruning
DOI: 10.1109/ICC45041.2023.10278567
2023 IEEE International Conference on Communications
eSSpMV: An Embedded-FPGA-based Hardware Accelerator for Symmetric Sparse Matrix-Vector Multiplication
DOI: 10.1109/ISCAS46773.2023.10181734
2023 IEEE International Symposium on Circuits and Systems
Edge FPGA-based Onsite Neural Network Training
DOI: 10.1109/ISCAS46773.2023.10181582
2023 IEEE International Symposium on Circuits and Systems
Vina-FPGA: A Hardware-Accelerated Molecular Docking Tool With Fixed-Point Quantization and Low-Level Parallelism
DOI: 10.1109/TVLSI.2022.3217275
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2023, 31(4): 484-497.
Graph-OPU: An FPGA-Based Overlay Processor for Graph Neural Networks
Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays
2022
A survey of field programmable gate array (FPGA)-based graph convolutional neural network accelerators: challenges and opportunities
PeerJ Computer Science, 2022, 8: e1166.
Evaluation of Fast Sample Entropy Algorithms on FPGAs: From Performance to Energy Efficiency
DOI: 10.3390/e24091177
Entropy, 2022, 24(9): 1177.
Hardware-friendly compression and hardware acceleration for transformer: A survey
DOI: 10.3934/era.2022192
Electronic Research Archive, 2022, 30(10): 3755-3785.
Implementation of quasi-Newton algorithm on FPGA for IoT endpoint devices
International Journal of Security and Networks, 2022, 17(2): 124-134.
Biological Activity Prediction of GPCR-targeting Ligands on Heterogeneous FPGA-based Accelerators
DOI: 10.1109/FCCM53951.2022.9786139
2022 IEEE 30th Annual International Symposium on Field-Programmable Custom Computing Machines
2021
MLoF: Machine Learning Accelerators for the Low-Cost FPGA Platforms
DOI: 10.3390/app12010089
Applied sciences, 2021, 12(1): 89.
Gutter oil detection for food safety based on multi-feature machine learning and implementation on FPGA with approximate multipliers
DOI: 10.7717/peerj-cs.774
PeerJ Computer Science, 2021, 7: e774.
Low-power Iris Recognition System Implementation on FPGA with Approximate Multiplier
DOI: 10.53106/199115992021103205009
Journal of Computers (TW), 2021, 32: 115-127.
Wearable on-device deep learning system for hand gesture recognition based on FPGA accelerator
DOI: 10.3934/mbe.2021007
Mathematical Biosciences and Engineering, 2021, 18(1): 132-153.