Haomin Li

According to our database, Haomin Li authored at least 20 papers between 2022 and 2025.

Collaborative distances:

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

2025

ASDR: Exploiting Adaptive Sampling and Data Reuse for CIM-based Instant Neural Rendering.

Fangxin Liu, Haomin Li, Bowen Zhu, Zongwu Wang, Zhuoran Song, Habing Guan, Li Jiang

CoRR, August, 2025

ALLMod: Exploring Area-Efficiency of LUT-based Large Number Modular Reduction via Hybrid Workloads.

Fangxin Liu, Haomin Li, Zongwu Wang, Bo Zhang, Mingzhe Zhang, Shoumeng Yan, Li Jiang, Haibing Guan

CoRR, March, 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

HyperDyn: Dynamic Dimensional Masking for Efficient Hyper-Dimensional Computing.

Fangxin Liu, Haomin Li, Zongwu Wang, Dongxu Lyu, Li Jiang

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

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

SPARK: Scalable and Precision-Aware Acceleration of Neural Networks via Efficient Encoding.

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

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

EOS: An Energy-Oriented Attack Framework for Spiking Neural Networks.

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

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

DEFA: Efficient Deformable Attention Acceleration via Pruning-Assisted Grid-Sampling and Multi-Scale Parallel Processing.

Yansong Xu, Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Zilong Wang, Gang Wang, Zhican Wang, Haomin Li, Guanghui He

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

TEAS: Exploiting Spiking Activity for Temporal-wise Adaptive Spiking Neural Networks.

Fangxin Liu, Haomin Li, Ning Yang, Zongwu Wang, Tao Yang, Li Jiang

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

PAAP-HD: PIM-Assisted Approximation for Efficient Hyper-Dimensional Computing.

Fangxin Liu, Haomin Li, Ning Yang, Yichi Chen, Zongwu Wang, Tao Yang, Li Jiang

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

HyperFeel: An Efficient Federated Learning Framework Using Hyperdimensional Computing.

Haomin Li, Fangxin Liu, Yichi Chen, Li Jiang

Proceedings of the 29th Asia and South Pacific 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

2023

HyperNode: An Efficient Node Classification Framework Using HyperDimensional Computing.

Haomin Li, Fangxin Liu, Yichi Chen, Li Jiang

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

HyperAttack: An Efficient Attack Framework for HyperDimensional Computing.

Fangxin Liu, Haomin Li, Yongbiao Chen, Tao Yang, Li Jiang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

L3E-HD: A Framework Enabling Efficient Ensemble in High-Dimensional Space for Language Tasks.

Fangxin Liu, Haomin Li, Xiaokang Yang, Li Jiang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022