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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
- 2026
[c24]Haomin Li, Fangxin Liu, Chenyang Guan, Zongwu Wang, Li Jiang, Haibing Guan:
LaMoS: Enabling Efficient Large Number Modular Multiplication through SRAM-based CiM Acceleration. DATE 2026: 1-7- [c23]Haomin Li, Yun Liang, Fangxin Liu, Bowen Zhu, Zongwu Wang, Yu Feng, Liqiang Lu, Li Jiang, Haibing Guan:
ORANGE: Exploring Ockham's Razor for Neural Rendering by Accelerating 3DGS on NPUs with GEMM-Friendly Blending and Balanced Workloads. HPCA 2026: 1-15 - [c22]Fangxin Liu, Ning Yang, Zongwu Wang, Chenyang Guan, Haomin Li, Yu Feng, Liqiang Lu, Xiang Li, Siran Yang, Jiamang Wang, Lin Qu, Li Jiang, Haibing Guan:
STEP: Adaptive Spatio-Temporal Expert Prefetching for Low-Latency and Memory-Efficient MoE Inference. ISCA 2026: 1336-1350 - [i8]Haomin Li, Bowen Zhu, Fangxin Liu, Zongwu Wang, Xinran Liang, Li Jiang, Haibing Guan:
GEMM-GS: Accelerating 3D Gaussian Splatting on Tensor Cores with GEMM-Compatible Blending. CoRR abs/2604.02120 (2026) - [i7]Xiangyu Wen, Yuang Zhao, Xiaoyu Xu, Lingjun Chen, Changran Xu, Shu Chi, Jianrong Ding, Zeju Li, Haomin Li, Li Jiang, Fangxin Liu, Qiang Xu:
From Craft to Kernel: A Governance-First Execution Architecture and Semantic ISA for Agentic Computers. CoRR abs/2604.18652 (2026) - [i6]Ziyan Gan, Fangxin Liu, Chenyang Guan, Junjie Wang, Ning Yang, Haomin Li, Xiang Li, Siran Yang, Jiamang Wang, Lin Qu, Zongwu Wang, Li Jiang, Haibing Guan:
PCoMoE: Shifting MoE Inference from Monolithic Expert Selection to Fine-Grained Path Composition. CoRR abs/2609.01024 (2026) - 2025
- [j3]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) - [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) - [c21]Fangxin Liu, Zongwu Wang, Ning Yang, Haomin Li, Tao Yang, Haibing Guan, Li Jiang:
Irregular Sparsity-Enabled Search-in-Memory Engine for Accelerating Spiking Neural Networks. APPT 2025: 99-109 - [c20]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 - [c19]Fangxin Liu, Haomin Li, Bowen Zhu, Zongwu Wang, Zhuoran Song, Haibing Guan, Li Jiang:
ASDR: Exploiting Adaptive Sampling and Data Reuse for CIM-based Instant Neural Rendering. ASPLOS (3) 2025: 18-33 - [c18]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. DAC 2025: 1-7 - [c17]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 - [c16]Fangxin Liu, Haomin Li, Zongwu Wang, Dongxu Lyu, Li Jiang:
HyperDyn: Dynamic Dimensional Masking for Efficient Hyper-Dimensional Computing. DATE 2025: 1-7 - [c15]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 - [c14]Zhixiong Zhao, Haomin Li, Fangxin Liu, Yuncheng Lu, Zongwu Wang, Tao Yang, Li Jiang, Haibing Guan:
QUARK: Quantization-Enabled Circuit Sharing for Transformer Acceleration by Exploiting Common Patterns in Nonlinear Operations. ICCAD 2025: 1-9 - [c13]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 - [i5]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) - [i4]Fangxin Liu, Haomin Li, Bowen Zhu, Zongwu Wang, Zhuoran Song, Habing Guan, Li Jiang:
ASDR: Exploiting Adaptive Sampling and Data Reuse for CIM-based Instant Neural Rendering. CoRR abs/2508.02304 (2025) - [i3]Haomin Li, Fangxin Liu, Chenyang Guan, Zongwu Wang, Li Jiang, Haibing Guan:
LaMoS: Enabling Efficient Large Number Modular Multiplication through SRAM-based CiM Acceleration. CoRR abs/2511.03341 (2025) - [i2]Zhixiong Zhao, Haomin Li, Fangxin Liu, Yuncheng Lu, Zongwu Wang, Tao Yang, Li Jiang, Haibing Guan:
QUARK: Quantization-Enabled Circuit Sharing for Transformer Acceleration by Exploiting Common Patterns in Nonlinear Operations. CoRR abs/2511.06767 (2025) - 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) - [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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