Shiyuan Huang

According to our database, Shiyuan Huang authored at least 12 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Attack and Defense: Enhancing Robustness of Binary Hyper-Dimensional Computing.

Haomin Li, Fangxin Liu, Zongwu Wang, Ning Yang, Shiyuan Huang, Xiaoyao Liang, Haibing Guan, Li Jiang

ACM Trans. Archit. Code Optim., September, 2025

SpMMPlu-Pro: An Enhanced Compiler Plug-In for Efficient SpMM and Sparsity Propagation Algorithm.

Shiyuan Huang, Fangxin Liu, Tao Yang, Zongwu Wang, Ning Yang, Li Jiang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2025

STCO: Enhancing Training Efficiency via Structured Sparse Tensor Compilation Optimization.

Shiyuan Huang, Fangxin Liu, Tian Li, Zongwu Wang, Ning Yang, Haomin Li, Li Jiang

ACM Trans. Design Autom. Electr. Syst., 2025

FATE: Boosting the Performance of Hyper-Dimensional Computing Intelligence with Flexible Numerical DAta TypE.

Haomin Li, Fangxin Liu, Yichi Chen, Zongwu Wang, Shiyuan Huang, Ning Yang, Dongxu Lyu, Li Jiang

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

CROSS: Compiler-Driven Optimization of Sparse DNNs Using Sparse/Dense Computation Kernels.

Fangxin Liu, Shiyuan Huang, Ning Yang, Zongwu Wang, Haomin Li, Li Jiang

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

TAIL: Exploiting Temporal Asynchronous Execution for Efficient Spiking Neural Networks with Inter-Layer Parallelism.

Haomin Li, Fangxin Liu, Zongwu Wang, Dongxu Lyu, Shiyuan Huang, Ning Yang, Qi Sun, Zhuoran Song, Li Jiang

Proceedings of the Design, Automation & Test in Europe Conference, 2025

Exploiting Differential-Based Data Encoding for Enhanced Query Efficiency.

Fangxin Liu, Zongwu Wang, Peng Xu, Shiyuan Huang, Li Jiang

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

NeuronQuant: Accurate and Efficient Post-Training Quantization for Spiking Neural Networks.

Haomin Li, Fangxin Liu, Zewen Sun, Zongwu Wang, Shiyuan Huang, Ning Yang, Li Jiang

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024

COMPASS: SRAM-Based Computing-in-Memory SNN Accelerator with Adaptive Spike Speculation.

Zongwu Wang, Fangxin Liu, Ning Yang, Shiyuan Huang, Haomin Li, Li Jiang

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

LowPASS: A Low power PIM-based accelerator with Speculative Scheme for SNNs.

Fangxin Liu, Shiyuan Huang, Longyu Zhao, Li Jiang, Zongwu Wang

Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design, 2024

INSPIRE: Accelerating Deep Neural Networks via Hardware-friendly Index-Pair Encoding.

Fangxin Liu, Ning Yang, Zhiyan Song, Zongwu Wang, Haomin Li, Shiyuan Huang, Zhuoran Song, Songwen Pei, Li Jiang

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

TSTC: Enabling Efficient Training via Structured Sparse Tensor Compilation.

Shiyuan Huang, Fangxin Liu, Tian Li, Zongwu Wang, Haomin Li, Li Jiang

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024