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Zongwu Wang
Publication Activity (10 Years)
Years Active: 2021-2023
Publications (10 Years): 18
Top Topics
Efficient Processing
Mixed Norm
Neural Network
Sparsity Inducing
Top Venues
DATE
DAC
ICCD
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
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Publications
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Fangxin Liu
,
Zongwu Wang
,
Yongbiao Chen
,
Zhezhi He
,
Tao Yang
,
Xiaoyao Liang
,
Li Jiang
SoBS-X: Squeeze-Out Bit Sparsity for ReRAM-Crossbar-Based Neural Network Accelerator.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
42 (1) (2023)
Fangxin Liu
,
Wenbo Zhao
,
Zongwu Wang
,
Xiaokang Yang
,
Li Jiang
SIMSnn: A Weight-Agnostic ReRAM-based Search-In-Memory Engine for SNN Acceleration.
DATE
(2023)
Zongwu Wang
,
Zhezhi He
,
Rui Yang
,
Shiquan Fan
,
Jie Lin
,
Fangxin Liu
,
Yueyang Jia
,
Chenxi Yuan
,
Qidong Tang
,
Li Jiang
Self-Terminating Write of Multi-Level Cell ReRAM for Efficient Neuromorphic Computing.
DATE
(2022)
Fangxin Liu
,
Zongwu Wang
,
Wenbo Zhao
,
Yongbiao Chen
,
Tao Yang
,
Xiaokang Yang
,
Li Jiang
Randomize and Match: Exploiting Irregular Sparsity for Energy Efficient Processing in SNNs.
ICCD
(2022)
Fangxin Liu
,
Wenbo Zhao
,
Zongwu Wang
,
Yongbiao Chen
,
Zhezhi He
,
Naifeng Jing
,
Xiaoyao Liang
,
Li Jiang
EBSP: evolving bit sparsity patterns for hardware-friendly inference of quantized deep neural networks.
DAC
(2022)
Fangxin Liu
,
Wenbo Zhao
,
Zongwu Wang
,
Yongbiao Chen
,
Tao Yang
,
Zhezhi He
,
Xiaokang Yang
,
Li Jiang
SATO: spiking neural network acceleration via temporal-oriented dataflow and architecture.
DAC
(2022)
Chen Nie
,
Zongwu Wang
,
Qidong Tang
,
Chenyang Lv
,
Li Jiang
,
Zhezhi He
Cross-layer Designs against Non-ideal Effects in ReRAM-based Processing-in-Memory System.
ISQED
(2022)
Fangxin Liu
,
Wenbo Zhao
,
Yongbiao Chen
,
Zongwu Wang
,
Li Jiang
SpikeConverter: An Efficient Conversion Framework Zipping the Gap between Artificial Neural Networks and Spiking Neural Networks.
AAAI
(2022)
Fangxin Liu
,
Wenbo Zhao
,
Yongbiao Chen
,
Zongwu Wang
,
Zhezhi He
,
Rui Yang
,
Qidong Tang
,
Tao Yang
,
Cheng Zhuo
,
Li Jiang
PIM-DH: ReRAM-based processing-in-memory architecture for deep hashing acceleration.
DAC
(2022)
Tao Yang
,
Dongyue Li
,
Zhuoran Song
,
Yilong Zhao
,
Fangxin Liu
,
Zongwu Wang
,
Zhezhi He
,
Li Jiang
DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture.
DATE
(2022)
Qidong Tang
,
Zhezhi He
,
Fangxin Liu
,
Zongwu Wang
,
Yiyuan Zhou
,
Yinghuan Zhang
,
Li Jiang
HAWIS: Hardware-Aware Automated WIdth Search for Accurate, Energy-Efficient and Robust Binary Neural Network on ReRAM Dot-Product Engine.
ASP-DAC
(2022)
Fangxin Liu
,
Wenbo Zhao
,
Zongwu Wang
,
Yilong Zhao
,
Tao Yang
,
Yiran Chen
,
Li Jiang
IVQ: In-Memory Acceleration of DNN Inference Exploiting Varied Quantization.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
41 (12) (2022)
Fangxin Liu
,
Wenbo Zhao
,
Yongbiao Chen
,
Zongwu Wang
,
Fei Dai
DynSNN: A Dynamic Approach to Reduce Redundancy in Spiking Neural Networks.
ICASSP
(2022)
Fangxin Liu
,
Wenbo Zhao
,
Zongwu Wang
,
Tao Yang
,
Li Jiang
IM3A: Boosting Deep Neural Network Efficiency via In-Memory Addressing-Assisted Acceleration.
ACM Great Lakes Symposium on VLSI
(2021)
Fangxin Liu
,
Wenbo Zhao
,
Yilong Zhao
,
Zongwu Wang
,
Tao Yang
,
Zhezhi He
,
Naifeng Jing
,
Xiaoyao Liang
,
Li Jiang
SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network.
CoRR
(2021)
Fangxin Liu
,
Wenbo Zhao
,
Zhezhi He
,
Yanzhi Wang
,
Zongwu Wang
,
Changzhi Dai
,
Xiaoyao Liang
,
Li Jiang
Improving Neural Network Efficiency via Post-training Quantization with Adaptive Floating-Point.
ICCV
(2021)
Fangxin Liu
,
Wenbo Zhao
,
Zhezhi He
,
Zongwu Wang
,
Yilong Zhao
,
Yongbiao Chen
,
Li Jiang
Bit-Transformer: Transforming Bit-level Sparsity into Higher Preformance in ReRAM-based Accelerator.
ICCAD
(2021)
Fangxin Liu
,
Wenbo Zhao
,
Zhezhi He
,
Zongwu Wang
,
Yilong Zhao
,
Tao Yang
,
Jingnai Feng
,
Xiaoyao Liang
,
Li Jiang
SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network.
ICCD
(2021)