Bingyi Zhang

Orcid: 0000-0002-8115-0814

According to our database1, Bingyi Zhang authored at least 49 papers between 2004 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
HitGNN: High-Throughput GNN Training Framework on CPU+Multi-FPGA Heterogeneous Platform.
IEEE Trans. Parallel Distributed Syst., May, 2024

Accelerating ViT Inference on FPGA through Static and Dynamic Pruning.
CoRR, 2024

A Single Graph Convolution Is All You Need: Efficient Grayscale Image Classification.
CoRR, 2024

PAHD: Perception-Action based Human Decision Making using Explainable Graph Neural Networks on SAR Images.
CoRR, 2024

2023
GraphAGILE: An FPGA-Based Overlay Accelerator for Low-Latency GNN Inference.
IEEE Trans. Parallel Distributed Syst., September, 2023

Graph Neural Network for Accurate and Low-complexity SAR ATR.
CoRR, 2023

Analysis of Limiting Output Capacity of Low-Speed and High-Torque Surface-Mounted Permanent Magnet Motor Considering Resistance Voltage Drop.
IEEE Access, 2023

No-Load Characteristic Analysis of Single/Three-Phase Dual-Port Permanent Magnet Synchronous Generator With Eccentric Magnetic Metal Block Based on Nonlinear Magnetic Field Analytical Method.
IEEE Access, 2023

Dynasparse: Accelerating GNN Inference through Dynamic Sparsity Exploitation.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Accelerating GNN-Based SAR Automatic Target Recognition on HBM-Enabled FPGA.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

Performance of Graph Neural Networks for Point Cloud Applications.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

Exploiting On-Chip Heterogeneity of Versal Architecture for GNN Inference Acceleration.
Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023

2022
Analysis of a Combined-Type Axial-Flux Permanent Magnet Machine.
IEEE Access, 2022

Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Modeling the Energy Efficiency of GEMM using Optical Random Access Memory.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

Performance Modeling Sparse MTTKRP Using Optical Static Random Access Memory on FPGA.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

Low-latency Mini-batch GNN Inference on CPU-FPGA Heterogeneous Platform.
Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

Hypersort: High-performance Parallel Sorting on HBM-enabled FPGA.
Proceedings of the International Conference on Field-Programmable Technology, 2022

Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA.
Proceedings of the 32nd International Conference on Field-Programmable Logic and Applications, 2022

DecGNN: A Framework for Mapping Decoupled GNN Models onto CPU-FPGA Heterogeneous Platform.
Proceedings of the FPGA '22: The 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Virtual Event, USA, 27 February 2022, 2022

HP-GNN: Generating High Throughput GNN Training Implementation on CPU-FPGA Heterogeneous Platform.
Proceedings of the FPGA '22: The 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Virtual Event, USA, 27 February 2022, 2022

Accelerating GNN Training on CPU+Multi-FPGA Heterogeneous Platform.
Proceedings of the High Performance Computing - 9th Latin American Conference, 2022

2021
TEANS: A Target Enhancement and Attenuated Nonmaximum Suppression Object Detector for Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2021

Power balanced control of rectifier permanent magnet generator sets.
J. Intell. Fuzzy Syst., 2021

Magnetic Field Prediction of Module-Combined Stator Permanent Magnet Synchronous Motor Based on a Nonlinear Hybrid Analytical Model.
IEEE Access, 2021

A Novel Modular Permanent Magnet-Assisted Synchronous Reluctance Motor.
IEEE Access, 2021

Efficient Neighbor-Sampling-based GNN Training on CPU-FPGA Heterogeneous Platform.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

GCN Inference Acceleration using High-Level Synthesis.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

Performance of Local Push Algorithms for Personalized PageRank on Multi-core Platforms.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

A Framework for Optimizing GCN Inference on FPGA.
Proceedings of the FPGA '21: The 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, Virtual Event, USA, February 28, 2021

BoostGCN: A Framework for Optimizing GCN Inference on FPGA.
Proceedings of the 29th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2021

2020
Design and Analysis of a Low-Speed and High-Torque Dual-Stator Permanent Magnet Motor With Inner Enhanced Torque.
IEEE Access, 2020

Influence of Introducing the Rotor MMF Harmonic on Torque Performance of Spoke Type Permanent Magnet Motor With FSCW.
IEEE Access, 2020

Analysis of a Fault-Tolerant Module-Combined Stator Permanent Magnet Synchronous Machine.
IEEE Access, 2020

Analysis of Unwinding Stator Module Combined Permanent Magnet Synchronous Machine.
IEEE Access, 2020

Research on Thermal Capacity of a High-Torque-Density Direct Drive Permanent Magnet Synchronous Machine Based on a Temperature Cycling Module.
IEEE Access, 2020

Research on Operation of Low-Speed and High-Torque Module Combined Stator Permanent Magnetic Fault-Tolerant Motor With Unequal Span Winding.
IEEE Access, 2020

ABCD: A Compact Object Detector Based on Channel Quantization and Tensor Decomposition.
Proceedings of the 10th IEEE International Conference on Consumer Electronics, 2020

Accelerating Large Scale GCN Inference on FPGA.
Proceedings of the 28th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2020

Hardware Acceleration of Large Scale GCN Inference.
Proceedings of the 31st IEEE International Conference on Application-specific Systems, 2020

2019
A Real-Time and Hardware-Efficient Processor for Skeleton-Based Action Recognition With Lightweight Convolutional Neural Network.
IEEE Trans. Circuits Syst. II Express Briefs, 2019

A Skeleton-based Action Recognition System for Medical Condition Detection.
Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019

2018
P3RPQ: Pregel-Based Parallel Provenance-Aware Regular Path Query Processing on Large RDF Graphs.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

MiniTracker: A Lightweight CNN-based System for Visual Object Tracking on Embedded Device.
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

2017
Hash Tree Indexing for Fast SPARQL Query in Large Scale RDF Data Management Systems.
Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 23rd - to, 2017

2016
IRSMG: Accelerating Inexact RDF Subgraph Matching on the GPU.
Proceedings of the ISWC 2016 Posters & Demonstrations Track co-located with 15th International Semantic Web Conference (ISWC 2016), 2016

2008
Research of Multipole Permanent Magnet Synchronous Motor for Gearless Oilfield Mud Pump.
Proceedings of the PACIIA 2008, 2008

2004
Cooperation of RSVP, DiffServ for frequent and fast Intersubnet Handoff.
Proceedings of the 7th International Symposium on Parallel Architectures, 2004

Simulation of network traffic and its application.
Proceedings of the 8th International Conference on Control, 2004


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