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Zongwu Wang
Observed names:
Wang, Zongwu,
Z X Wang
Institutions:
Shanghai Jiao Tong University,
Shanghai Qi Zhi Institute
Observed institutions:
North China Electric Power University,
Shanghai Jiao Tong University,
Yellow River Conservancy Technical Institute,
Shanghai Qi Zhi Institute
ORCID:
0009-0003-2157-4927
Observed ORCID:
0009-0003-2157-4927
OpenAlex ID:
A5107269495
Improving Neural Network Efficiency via Post-training Quantization with Adaptive Floating-Point
2021
·
Fangxin Liu
, Wenbo Zhao
, et al.
·
IEEE/CVF International Conference on Computer Vision (ICCV)
·
67
SSTDP: Supervised Spike Timing Dependent Plasticity for Efficient Spiking Neural Network Training
2021
·
Fangxin Liu
, Wenbo Zhao
, et al.
·
Frontiers in Neuroscience
·
62
PDF
SPARK: Scalable and Precision-Aware Acceleration of Neural Networks via Efficient Encoding
2024
·
Fangxin Liu
, Ning Yang
, et al.
·
IEEE International Symposium on High-Performance Computer Architecture (HPCA)
·
53
SpikeConverter: An Efficient Conversion Framework Zipping the Gap between Artificial Neural Networks and Spiking Neural Networks
2022
·
Fangxin Liu
, Wenbo Zhao
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
50
DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture
2022
·
Tao Yang
, Dongyue Li
, et al.
·
Design, Automation, and Test in Europe
·
33
Bit-Transformer: Transforming Bit-level Sparsity into Higher Preformance in ReRAM-based Accelerator
2021
·
Fangxin Liu
, Wenbo Zhao
, et al.
·
International Conference on Computer Aided Design
·
27
UM-PIM: DRAM-based PIM with Uniform & Shared Memory Space
2024
·
Yilong Zhao
, Mingyu Gao
, et al.
·
Proceedings - International Symposium on Computer Architecture/Proceedings
·
26
SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network
2021
·
Fangxin Liu
, Wenbo Zhao
, et al.
·
IEEE International Conference on Computer Design: VLSI in Computers and Processors (ICCD)
·
24
PDF
SATO
2022
·
Fangxin Liu
, Wenbo Zhao
, et al.
·
ACM/IEEE Design Automation Conference (DAC)
·
21
DynSNN: A Dynamic Approach to Reduce Redundancy in Spiking Neural Networks
2022
·
Fangxin Liu
, Wenbo Zhao
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
19
IVQ: In-Memory Acceleration of DNN Inference Exploiting Varied Quantization
2022
·
Fangxin Liu
, Wenbo Zhao
, et al.
·
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
·
19
ERA-BS: Boosting the Efficiency of ReRAM-Based PIM Accelerator With Fine-Grained Bit-Level Sparsity
2023
·
Fangxin Liu
, Wenbo Zhao
, et al.
·
IEEE Transactions on Computers
·
15
COMPASS: SRAM-Based Computing-in-Memory SNN Accelerator with Adaptive Spike Speculation
2024
·
Zongwu Wang
, Fangxin Liu
, et al.
·
IEEE/ACM International Symposium on Microarchitecture (MICRO)
·
12
INSPIRE: Accelerating Deep Neural Networks via Hardware-friendly Index-Pair Encoding
2024
·
Fangxin Liu
, Ning Yang
, et al.
·
ACM/IEEE Design Automation Conference (DAC)
·
12
EBSP
2022
·
Fangxin Liu
, Wenbo Zhao
, et al.
·
ACM/IEEE Design Automation Conference (DAC)
·
12
SoBS-X: Squeeze-Out Bit Sparsity for ReRAM-Crossbar-Based Neural Network Accelerator
2022
·
Fangxin Liu
, Zongwu Wang
, et al.
·
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
·
12
Exploiting Temporal-Unrolled Parallelism for Energy-Efficient SNN Acceleration
2024
·
Fangxin Liu
, Zongwu Wang
, et al.
·
IEEE Transactions on Parallel and Distributed Systems
·
11
PIM-DH
2022
·
Fangxin Liu
, Wenbo Zhao
, et al.
·
ACM/IEEE Design Automation Conference (DAC)
·
11
IM3A
2021
·
Fangxin Liu
, Wenbo Zhao
, et al.
·
ACM Great Lakes Symposium on VLSI (GLSVLSI)
·
9
NeuronQuant: Accurate and Efficient Post-Training Quantization for Spiking Neural Networks
2025
·
Haomin Li
, Fangxin Liu
, et al.
·
Asia and South Pacific Design Automation Conference (ASP-DAC)
·
8
SIMSnn: A Weight-Agnostic ReRAM-based Search-In-Memory Engine for SNN Acceleration
2023
·
Fangxin Liu
, Wenbo Zhao
, et al.
·
Design, Automation, and Test in Europe
·
8
TEAS: Exploiting Spiking Activity for Temporal-wise Adaptive Spiking Neural Networks
2024
·
Fangxin Liu
, Haomin Li
, et al.
·
Asia and South Pacific Design Automation Conference (ASP-DAC)
·
7
Randomize and Match: Exploiting Irregular Sparsity for Energy Efficient Processing in SNNs
2022
·
Fangxin Liu
, Zongwu Wang
, et al.
·
IEEE International Conference on Computer Design: VLSI in Computers and Processors (ICCD)
·
6
HAWIS: Hardware-Aware Automated WIdth Search for Accurate, Energy-Efficient and Robust Binary Neural Network on ReRAM Dot-Product Engine
2022
·
Qidong Tang
, Zhezhi He
, et al.
·
Asia and South Pacific Design Automation Conference (ASP-DAC)
·
6
FATE: Boosting the Performance of Hyper-Dimensional Computing Intelligence with Flexible Numerical DAta TypE
2025
·
Haomin Li
, Fangxin Liu
, et al.
·
Proceedings - International Symposium on Computer Architecture/Proceedings
·
5
PDF
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Works count:
77
Citation count:
600
H-index:
12
I10-index:
18
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