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ORCIDShiyuan Huang 0004
Person information
- affiliation: Shanghai Jiao Tong University, Shanghai, China
Other persons with the same name
- Shiyuan Huang — disambiguation page
- Shiyuan Huang 0001
![[0000-0002-0787-3184]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0002-0787-3184")
— Columbia University, New York, NY, USA - Shiyuan Huang 0002 — Eindhoven University of Technology, The Netherlands
- Shiyuan Huang 0003 — Chongqing Jiaotong University, Chongqing, China
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2020 – today
- 2025
[j4]Haomin Li, Fangxin Liu, Zongwu Wang, Ning Yang, Shiyuan Huang, Xiaoyao Liang, Haibing Guan, Li Jiang:
Attack and Defense: Enhancing Robustness of Binary Hyper-Dimensional Computing. ACM Trans. Archit. Code Optim. 22(3): 85:1-85:25 (2025)- [j3]Shiyuan Huang, Fangxin Liu, Tao Yang, Zongwu Wang, Ning Yang, Li Jiang:
SpMMPlu-Pro: An Enhanced Compiler Plug-In for Efficient SpMM and Sparsity Propagation Algorithm. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 44(2): 669-683 (2025) - [j2]Shiyuan Huang, Fangxin Liu, Tian Li, Zongwu Wang, Ning Yang, Haomin Li, Li Jiang:
STCO: Enhancing Training Efficiency via Structured Sparse Tensor Compilation Optimization. ACM Trans. Design Autom. Electr. Syst. 30(1): 1-22 (2025) - [c9]Fangxin Liu, Zongwu Wang, Peng Xu, Shiyuan Huang, Li Jiang:
Exploiting Differential-Based Data Encoding for Enhanced Query Efficiency. ASP-DAC 2025: 594-600 - [c8]Haomin Li, Fangxin Liu, Zewen Sun, Zongwu Wang, Shiyuan Huang, Ning Yang, Li Jiang:
NeuronQuant: Accurate and Efficient Post-Training Quantization for Spiking Neural Networks. ASP-DAC 2025: 734-740 - [c7]Haomin Li, Fangxin Liu, Zongwu Wang, Dongxu Lyu, Shiyuan Huang, Ning Yang, Qi Sun, Zhuoran Song, Li Jiang:
TAIL: Exploiting Temporal Asynchronous Execution for Efficient Spiking Neural Networks with Inter-Layer Parallelism. DATE 2025: 1-7 - [c6]Fangxin Liu, Shiyuan Huang, Ning Yang, Zongwu Wang, Haomin Li, Li Jiang:
CROSS: Compiler-Driven Optimization of Sparse DNNs Using Sparse/Dense Computation Kernels. HPCA 2025: 963-976 - [c5]Haomin Li, Fangxin Liu, Yichi Chen, Zongwu Wang, Shiyuan Huang, Ning Yang, Dongxu Lyu, Li Jiang:
FATE: Boosting the Performance of Hyper-Dimensional Computing Intelligence with Flexible Numerical DAta TypE. ISCA 2025: 1269-1282 - 2024
- [j1]Fangxin Liu, Zongwu Wang, Wenbo Zhao, Ning Yang, Yongbiao Chen, Shiyuan Huang, Haomin Li, Tao Yang, Songwen Pei, Xiaoyao Liang, Li Jiang:
Exploiting Temporal-Unrolled Parallelism for Energy-Efficient SNN Acceleration. IEEE Trans. Parallel Distributed Syst. 35(10): 1749-1764 (2024) - [c4]Shiyuan Huang, Fangxin Liu, Tian Li, Zongwu Wang, Haomin Li, Li Jiang:
TSTC: Enabling Efficient Training via Structured Sparse Tensor Compilation. ASPDAC 2024: 884-889 - [c3]Fangxin Liu, Ning Yang, Zhiyan Song, Zongwu Wang, Haomin Li, Shiyuan Huang, Zhuoran Song, Songwen Pei, Li Jiang:
INSPIRE: Accelerating Deep Neural Networks via Hardware-friendly Index-Pair Encoding. DAC 2024: 10:1-10:6 - [c2]Fangxin Liu, Shiyuan Huang, Longyu Zhao, Li Jiang, Zongwu Wang:
LowPASS: A Low power PIM-based accelerator with Speculative Scheme for SNNs. ISLPED 2024: 1-6 - [c1]Zongwu Wang, Fangxin Liu, Ning Yang, Shiyuan Huang, Haomin Li, Li Jiang:
COMPASS: SRAM-Based Computing-in-Memory SNN Accelerator with Adaptive Spike Speculation. MICRO 2024: 1090-1106
Coauthor Index
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