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Qizhe Wu
Observed name:
Wu, Qizhe
Institution:
University of Science and Technology of China
Observed institutions:
University of Science and Technology of China,
Chinese Academy of Sciences,
Institute of Microelectronics
ORCID:
0000-0002-4977-5363
Observed ORCID:
0000-0002-4977-5363
OpenAlex ID:
A5000968348
FP-GNN: Adaptive FPGA accelerator for Graph Neural Networks
2022
·
Teng Tian
, Letian Zhao
, et al.
·
Future Generation Computer Systems
·
33
QEGCN: An FPGA-based accelerator for quantized GCNs with edge-level parallelism
2022
·
Wei Yuan
, Teng Tian
, et al.
·
Journal of Systems Architecture
·
14
FTW-GAT: An FPGA-Based Accelerator for Graph Attention Networks With Ternary Weights
2023
·
Zerong He
, Teng Tian
, et al.
·
IEEE Transactions on Circuits & Systems II Express Briefs
·
11
HuGraph: Acceleration of GCN Training on Heterogeneous FPGA Clusters with Quantization
2022
·
Letian Zhao
, Qizhe Wu
, et al.
·
IEEE High Performance Extreme Computing Conference
·
9
Exploring the Performance Improvement of Tensor Processing Engines through Transformation in the Bit-weight Dimension of MACs
2025
·
Qizhe Wu
, Huawen Liang
, et al.
·
IEEE International Symposium on High-Performance Computer Architecture (HPCA)
·
3
EN-T: Optimizing Tensor Computing Engines Performance via Encoder-Based Methodology
2024
·
Qizhe Wu
, Yuchen Gui
, et al.
·
IEEE International Conference on Computer Design: VLSI in Computers and Processors (ICCD)
·
3
PDF
RingTK: A Ring, Parallel and High Performance Top-K Sorter on FPGA
2024
·
Huawen Liang
, Qizhe Wu
, et al.
·
IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM)
·
3
Efficient Message Passing Architecture for GCN Training on HBM-based FPGAs with Orthogonal Topology On-Chip Networks
2024
·
Qizhe Wu
, Letian Zhao
, et al.
·
ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA)
·
2
An SSD-Based Accelerator for Singular Value Decomposition Recommendation Algorithm on Edge
2022
·
Wei Wu
, Letian Zhao
, et al.
·
IEEE High Performance Extreme Computing Conference
·
2
Software-Hardware Co-Optimization on Partial-Sum Problem for PIM-based Neural Network Accelerator
2021
·
Qizhe Wu
, Linfeng Tao
, et al.
·
IEEE High Performance Extreme Computing Conference
·
2
Efficient message passing architecture for GCN training on HBM-based FPGAs with orthogonal topology on-chip networks
2026
·
Qizhe Wu
, Letian Zhao
, et al.
·
Frontiers of Computer Science
·
1
A FPGA-HBM-Based Hardware Streaming Accelerator for GNN Sampling
2024
·
Yuchen Gui
, Qizhe Wu
, et al.
·
IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP)
·
1
Scheduling Memory Access Optimization for HBM Based on CLOS
2023
·
Shuang Xue
, Huawei Liang
, et al.
·
International Conference on Advanced Communication Technology
·
1
Efficient Top-k Sorter through Runtime Lane Selection of Priority Queues on a Directed Ring
2026
·
Huawen Liang
, Wei Yuan
, et al.
·
IEEE International Symposium on Circuits and Systems proceedings
SageSC: Accelerating GraphSAGE Minibatch Inference on Memory-Intensive Graphs
2025
·
Yuchen Gui
, Wei Yuan
, et al.
·
IEEE International Conference on Computer Design: VLSI in Computers and Processors (ICCD)
Efficient Message Passing Architecture for GCN Training on HBM-based FPGAs with Orthogonal Topology On-Chip Networks
2024
·
Wu, Qizhe
, Zhao, Letian
, et al.
·
arXiv (Cornell University)
PDF
HBM-Based Hardware Accelerator for GNN Sampling and Aggregation
2024
·
Yuchen Gui
, Qizhe Wu
, et al.
·
IEEE High Performance Extreme Computing Conference
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Works count:
19
Citation count:
86
H-index:
4
I10-index:
3
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