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ORCIDHaomin Li 0002
Person information
- affiliation: Shanghai Jiao Tong University, Shanghai, China
- unicode name: 李皓民
Other persons with the same name
- Haomin Li — disambiguation page
- Haomin Li 0001
![[0000-0002-6420-7719]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6420-7719")
— Zhejiang University School of Medicine, Hangzhou, Zhejiang, China - Haomin Li 0003 — McMaster University, Hamilton, ON, Canada
- Haomin Li 0004 — Xi'an Jiaotong University, Xi'an, China
- Haomin Li 0005 — Haide College Ocean University of China, Qingdao, China
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2020 – today
- 2025
[j1]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)- [c16]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 - [c15]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 - [c14]Fangxin Liu, Haomin Li, Zongwu Wang, Dongxu Lyu, Li Jiang:
HyperDyn: Dynamic Dimensional Masking for Efficient Hyper-Dimensional Computing. DATE 2025: 1-7 - [c13]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 - [i2]Fangxin Liu, Haomin Li, Zongwu Wang, Bo Zhang, Mingzhe Zhang, Shoumeng Yan, Li Jiang, Haibing Guan:
ALLMod: Exploring Area-Efficiency of LUT-based Large Number Modular Reduction via Hybrid Workloads. CoRR abs/2503.15916 (2025) - 2024
- [c12]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: 46-51 - [c11]Haomin Li, Fangxin Liu, Yichi Chen, Li Jiang:
HyperFeel: An Efficient Federated Learning Framework Using Hyperdimensional Computing. ASPDAC 2024: 716-721 - [c10]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: 842-847 - [c9]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 - [c8]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 - [c7]Yansong Xu, Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Zilong Wang, Gang Wang, Zhican Wang, Haomin Li, Guanghui He:
DEFA: Efficient Deformable Attention Acceleration via Pruning-Assisted Grid-Sampling and Multi-Scale Parallel Processing. DAC 2024: 24:1-24:6 - [c6]Ning Yang, Fangxin Liu, Zongwu Wang, Haomin Li, Zhuoran Song, Songwen Pei, Li Jiang:
EOS: An Energy-Oriented Attack Framework for Spiking Neural Networks. DAC 2024: 58:1-58:6 - [c5]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: 1029-1042 - [c4]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 - [i1]Yansong Xu, Dongxu Lyu, Zhenyu Li, Zilong Wang, Yuzhou Chen, Gang Wang, Zhican Wang, Haomin Li, Guanghui He:
DEFA: Efficient Deformable Attention Acceleration via Pruning-Assisted Grid-Sampling and Multi-Scale Parallel Processing. CoRR abs/2403.10913 (2024) - 2023
- [c3]Fangxin Liu, Haomin Li, Yongbiao Chen, Tao Yang, Li Jiang:
HyperAttack: An Efficient Attack Framework for HyperDimensional Computing. DAC 2023: 1-6 - [c2]Haomin Li, Fangxin Liu, Yichi Chen, Li Jiang:
HyperNode: An Efficient Node Classification Framework Using HyperDimensional Computing. ICCAD 2023: 1-9 - 2022
- [c1]Fangxin Liu, Haomin Li, Xiaokang Yang, Li Jiang:
L3E-HD: A Framework Enabling Efficient Ensemble in High-Dimensional Space for Language Tasks. SIGIR 2022: 1844-1848
Coauthor Index
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