Haomin Li

30 papers A* 11A 4B 4Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
ORANGE: Exploring Ockham's Razor for Neural Rendering by Accelerating 3DGS on NPUs with GEMM-Friendly Blending and Balanced Workloads.
HPCA
Haomin Li, Yun Liang, Fangxin Liu, Bowen Zhu, Zongwu Wang, Yu Feng, Liqiang Lu, Li Jiang, Haibing Guan
2025 A* conf
ALLMod: Exploring Area-Efficiency of LUT-based Large Number Modular Reduction via Hybrid Workloads.
DAC
Fangxin Liu, Haomin Li, Zongwu Wang, Bo Zhang, Mingzhe Zhang, Shoumeng Yan, Li Jiang, Haibing Guan
2025 J jnl
ALLMod: Exploring Area-Efficiency of LUT-based Large Number Modular Reduction via Hybrid Workloads.
CoRR
Fangxin Liu, Haomin Li, Zongwu Wang, Bo Zhang, Mingzhe Zhang, Shoumeng Yan, Li Jiang, Haibing Guan
2025 — conf
ASDR: Exploiting Adaptive Sampling and Data Reuse for CIM-based Instant Neural Rendering.
ASPLOS (3)
Fangxin Liu, Haomin Li, Bowen Zhu, Zongwu Wang, Zhuoran Song, Haibing Guan, Li Jiang
2025 J jnl
ASDR: Exploiting Adaptive Sampling and Data Reuse for CIM-based Instant Neural Rendering.
CoRR
Fangxin Liu, Haomin Li, Bowen Zhu, Zongwu Wang, Zhuoran Song, Habing Guan, Li Jiang
2025 J jnl
Attack and Defense: Enhancing Robustness of Binary Hyper-Dimensional Computing.
ACM Trans. Archit. Code Optim.
Haomin Li, Fangxin Liu, Zongwu Wang, Ning Yang, Shiyuan Huang, Xiaoyao Liang, Haibing Guan, Li Jiang
2025 A* conf
CROSS: Compiler-Driven Optimization of Sparse DNNs Using Sparse/Dense Computation Kernels.
HPCA
Fangxin Liu, Shiyuan Huang, Ning Yang, Zongwu Wang, Haomin Li, Li Jiang
2025 A* conf
FATE: Boosting the Performance of Hyper-Dimensional Computing Intelligence with Flexible Numerical DAta TypE.
ISCA
Haomin Li, Fangxin Liu, Yichi Chen, Zongwu Wang, Shiyuan Huang, Ning Yang, Dongxu Lyu, Li Jiang
2025 A conf
HyperDyn: Dynamic Dimensional Masking for Efficient Hyper-Dimensional Computing.
DATE
Fangxin Liu, Haomin Li, Zongwu Wang, Dongxu Lyu, Li Jiang
2025 — conf
Irregular Sparsity-Enabled Search-in-Memory Engine for Accelerating Spiking Neural Networks.
APPT
Fangxin Liu, Zongwu Wang, Ning Yang, Haomin Li, Tao Yang, Haibing Guan, Li Jiang
2025 J jnl
LaMoS: Enabling Efficient Large Number Modular Multiplication through SRAM-based CiM Acceleration.
CoRR
Haomin Li, Fangxin Liu, Chenyang Guan, Zongwu Wang, Li Jiang, Haibing Guan
2025 — conf
NeuronQuant: Accurate and Efficient Post-Training Quantization for Spiking Neural Networks.
ASP-DAC
Haomin Li, Fangxin Liu, Zewen Sun, Zongwu Wang, Shiyuan Huang, Ning Yang, Li Jiang
2025 A conf
QUARK: Quantization-Enabled Circuit Sharing for Transformer Acceleration by Exploiting Common Patterns in Nonlinear Operations.
ICCAD
Zhixiong Zhao, Haomin Li, Fangxin Liu, Yuncheng Lu, Zongwu Wang, Tao Yang, Li Jiang, Haibing Guan
2025 J jnl
QUARK: Quantization-Enabled Circuit Sharing for Transformer Acceleration by Exploiting Common Patterns in Nonlinear Operations.
CoRR
Zhixiong Zhao, Haomin Li, Fangxin Liu, Yuncheng Lu, Zongwu Wang, Tao Yang, Li Jiang, Haibing Guan
2025 J jnl
STCO: Enhancing Training Efficiency via Structured Sparse Tensor Compilation Optimization.
ACM Trans. Design Autom. Electr. Syst.
Shiyuan Huang, Fangxin Liu, Tian Li, Zongwu Wang, Ning Yang, Haomin Li, Li Jiang
2025 A conf
TAIL: Exploiting Temporal Asynchronous Execution for Efficient Spiking Neural Networks with Inter-Layer Parallelism.
DATE
Haomin Li, Fangxin Liu, Zongwu Wang, Dongxu Lyu, Shiyuan Huang, Ning Yang, Qi Sun, Zhuoran Song, Li Jiang
2024 A* conf
COMPASS: SRAM-Based Computing-in-Memory SNN Accelerator with Adaptive Spike Speculation.
MICRO
Zongwu Wang, Fangxin Liu, Ning Yang, Shiyuan Huang, Haomin Li, Li Jiang
2024 A* conf
DEFA: Efficient Deformable Attention Acceleration via Pruning-Assisted Grid-Sampling and Multi-Scale Parallel Processing.
DAC
Yansong Xu, Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Zilong Wang, Gang Wang, Zhican Wang, Haomin Li, Guanghui He
2024 J jnl
DEFA: Efficient Deformable Attention Acceleration via Pruning-Assisted Grid-Sampling and Multi-Scale Parallel Processing.
CoRR
Yansong Xu, Dongxu Lyu, Zhenyu Li, Zilong Wang, Yuzhou Chen, Gang Wang, Zhican Wang, Haomin Li, Guanghui He
2024 A* conf
EOS: An Energy-Oriented Attack Framework for Spiking Neural Networks.
DAC
Ning Yang, Fangxin Liu, Zongwu Wang, Haomin Li, Zhuoran Song, Songwen Pei, Li Jiang
2024 J jnl
Exploiting Temporal-Unrolled Parallelism for Energy-Efficient SNN Acceleration.
IEEE Trans. Parallel Distributed Syst.
Fangxin Liu, Zongwu Wang, Wenbo Zhao, Ning Yang, Yongbiao Chen, Shiyuan Huang, Haomin Li, Tao Yang, Songwen Pei, Xiaoyao Liang, Li Jiang
2024 B conf
HyperFeel: An Efficient Federated Learning Framework Using Hyperdimensional Computing.
ASPDAC
Haomin Li, Fangxin Liu, Yichi Chen, Li Jiang
2024 A* conf
INSPIRE: Accelerating Deep Neural Networks via Hardware-friendly Index-Pair Encoding.
DAC
Fangxin Liu, Ning Yang, Zhiyan Song, Zongwu Wang, Haomin Li, Shiyuan Huang, Zhuoran Song, Songwen Pei, Li Jiang
2024 B conf
PAAP-HD: PIM-Assisted Approximation for Efficient Hyper-Dimensional Computing.
ASPDAC
Fangxin Liu, Haomin Li, Ning Yang, Yichi Chen, Zongwu Wang, Tao Yang, Li Jiang
2024 A* conf
SPARK: Scalable and Precision-Aware Acceleration of Neural Networks via Efficient Encoding.
HPCA
Fangxin Liu, Ning Yang, Haomin Li, Zongwu Wang, Zhuoran Song, Songwen Pei, Li Jiang
2024 B conf
TEAS: Exploiting Spiking Activity for Temporal-wise Adaptive Spiking Neural Networks.
ASPDAC
Fangxin Liu, Haomin Li, Ning Yang, Zongwu Wang, Tao Yang, Li Jiang
2024 B conf
TSTC: Enabling Efficient Training via Structured Sparse Tensor Compilation.
ASPDAC
Shiyuan Huang, Fangxin Liu, Tian Li, Zongwu Wang, Haomin Li, Li Jiang
2023 A* conf
HyperAttack: An Efficient Attack Framework for HyperDimensional Computing.
DAC
Fangxin Liu, Haomin Li, Yongbiao Chen, Tao Yang, Li Jiang
2023 A conf
HyperNode: An Efficient Node Classification Framework Using HyperDimensional Computing.
ICCAD
Haomin Li, Fangxin Liu, Yichi Chen, Li Jiang
2022 A* conf
L3E-HD: A Framework Enabling Efficient Ensemble in High-Dimensional Space for Language Tasks.
SIGIR
Fangxin Liu, Haomin Li, Xiaokang Yang, Li Jiang