Wenbo Zhao

16 papers A* 5A 2C 2Misc 1Journal 5Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
ERA-BS: Boosting the Efficiency of ReRAM-Based PIM Accelerator With Fine-Grained Bit-Level Sparsity.
IEEE Trans. Computers
Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Xiaoyao Liang, Li Jiang
2024 J jnl
Exploiting Temporal-Unrolled Parallelism for Energy-Efficient SNN Acceleration.
IEEE Trans. Parallel Distributed Syst.
Fangxin Liu, Zongwu Wang, Wenbo Zhao, Ning Yang, Yongbiao Chen, Shiyuan Huang, Haomin Li, Tao Yang, Songwen Pei, Xiaoyao Liang, Li Jiang
2023 A conf
SIMSnn: A Weight-Agnostic ReRAM-based Search-In-Memory Engine for SNN Acceleration.
DATE
Fangxin Liu, Wenbo Zhao, Zongwu Wang, Xiaokang Yang, Li Jiang
2022 Misc conf
DynSNN: A Dynamic Approach to Reduce Redundancy in Spiking Neural Networks.
ICASSP
Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Fei Dai
2022 A* conf
EBSP: evolving bit sparsity patterns for hardware-friendly inference of quantized deep neural networks.
DAC
Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang
2022 J jnl
IVQ: In-Memory Acceleration of DNN Inference Exploiting Varied Quantization.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yilong Zhao, Tao Yang, Yiran Chen, Li Jiang
2022 A* conf
PIM-DH: ReRAM-based processing-in-memory architecture for deep hashing acceleration.
DAC
Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Zhezhi He, Rui Yang, Qidong Tang, Tao Yang, Cheng Zhuo, Li Jiang
2022 C conf
Randomize and Match: Exploiting Irregular Sparsity for Energy Efficient Processing in SNNs.
ICCD
Fangxin Liu, Zongwu Wang, Wenbo Zhao, Yongbiao Chen, Tao Yang, Xiaokang Yang, Li Jiang
2022 A* conf
SATO: spiking neural network acceleration via temporal-oriented dataflow and architecture.
DAC
Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Tao Yang, Zhezhi He, Xiaokang Yang, Li Jiang
2022 A* conf
SpikeConverter: An Efficient Conversion Framework Zipping the Gap between Artificial Neural Networks and Spiking Neural Networks.
AAAI
Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Li Jiang
2021 A conf
Bit-Transformer: Transforming Bit-level Sparsity into Higher Preformance in ReRAM-based Accelerator.
ICCAD
Fangxin Liu, Wenbo Zhao, Zhezhi He, Zongwu Wang, Yilong Zhao, Yongbiao Chen, Li Jiang
2021 — conf
IM3A: Boosting Deep Neural Network Efficiency via In-Memory Addressing-Assisted Acceleration.
ACM Great Lakes Symposium on VLSI
Fangxin Liu, Wenbo Zhao, Zongwu Wang, Tao Yang, Li Jiang
2021 A* conf
Improving Neural Network Efficiency via Post-training Quantization with Adaptive Floating-Point.
ICCV
Fangxin Liu, Wenbo Zhao, Zhezhi He, Yanzhi Wang, Zongwu Wang, Changzhi Dai, Xiaoyao Liang, Li Jiang
2021 C conf
SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network.
ICCD
Fangxin Liu, Wenbo Zhao, Zhezhi He, Zongwu Wang, Yilong Zhao, Tao Yang, Jingnai Feng, Xiaoyao Liang, Li Jiang
2021 J jnl
SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network.
CoRR
Fangxin Liu, Wenbo Zhao, Yilong Zhao, Zongwu Wang, Tao Yang, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang
2020 J jnl
AUSN: Approximately Uniform Quantization by Adaptively Superimposing Non-uniform Distribution for Deep Neural Networks.
CoRR
Fangxin Liu, Wenbo Zhao, Yanzhi Wang, Changzhi Dai, Li Jiang