Zongwu Wang

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 24

Top Topics

Sparsity Inducing

Top Venues

Publications

Fangxin Liu, Haomin Li, Ning Yang, Zongwu Wang, Tao Yang, Li Jiang
TEAS: Exploiting Spiking Activity for Temporal-wise Adaptive Spiking Neural Networks. ASPDAC (2024)
Shiyuan Huang, Fangxin Liu, Tian Li, Zongwu Wang, Haomin Li, Li Jiang
TSTC: Enabling Efficient Training via Structured Sparse Tensor Compilation. ASPDAC (2024)
Fangxin Liu, Ning Yang, Haomin Li, Zongwu Wang, Zhuoran Song, Songwen Pei, Li Jiang
SPARK: Scalable and Precision-Aware Acceleration of Neural Networks via Efficient Encoding. HPCA (2024)
Yilong Zhao, Mingyu Gao, Fangxin Liu, Yiwei Hu, Zongwu Wang, Han Lin, Jin Li, He Xian, Hanlin Dong, Tao Yang, Naifeng Jing, Xiaoyao Liang, Li Jiang
UM-PIM: DRAM-based PIM with Uniform & Shared Memory Space. ISCA (2024)
Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Xiaoyao Liang, Li Jiang
ERA-BS: Boosting the Efficiency of ReRAM-Based PIM Accelerator With Fine-Grained Bit-Level Sparsity. IEEE Trans. Computers 73 (9) (2024)
Fangxin Liu, Haomin Li, Ning Yang, Yichi Chen, Zongwu Wang, Tao Yang, Li Jiang
PAAP-HD: PIM-Assisted Approximation for Efficient Hyper-Dimensional Computing. ASPDAC (2024)
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)