| 2026 | DATE | LaMoS: Enabling Efficient Large Number Modular Multiplication through SRAM-based CiM Acceleration. | Haomin Li, Fangxin Liu, Chenyang Guan, Zongwu Wang, Li Jiang, Haibing Guan |
| 2026 | HPCA | ORANGE: Exploring Ockham's Razor for Neural Rendering by Accelerating 3DGS on NPUs with GEMM-Friendly Blending and Balanced Workloads. | Haomin Li, Yun Liang, Fangxin Liu, Bowen Zhu, Zongwu Wang, Yu Feng, Liqiang Lu, Li Jiang, Haibing Guan |
| 2026 | ISCA | STEP: Adaptive Spatio-Temporal Expert Prefetching for Low-Latency and Memory-Efficient MoE Inference. | 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 |
| 2026 | VR | I Like the Way you Talk: Exploring Speech Influence on Social Priming Conversation Between Virtual Humans. | Haomin Li, Shoulong Zhang, Jiahao Cui, Shuai Li, Aimin Hao |
| 2025 | AIME | Breast-CRAG: A Breast Cancer Large Language Model Leveraging Retrieval-Augmented Generation. | Zikang Chen, Qinchuan Wang, Jinyan Liu, Yaoqian Sun, Heming Zheng, Haomin Li, Huilong Duan, Xudong Lu |
| 2025 | AIME | Detection of ADHD from ECG Signals via Deep Learning-Based Feature Extraction. | Xiaohan Li, Haiyan Xu, Yu Cao, Xudong Lu, Huilong Duan, Qiang Shu, Wei Wang, Haomin Li |
| 2025 | ASPDAC | 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 |
| 2025 | ASPLOS | ASDR: Exploiting Adaptive Sampling and Data Reuse for CIM-based Instant Neural Rendering. | Fangxin Liu, Haomin Li, Bowen Zhu, Zongwu Wang, Zhuoran Song, Haibing Guan, Li Jiang |
| 2025 | DAC | 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 |
| 2025 | DATE | 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 |
| 2025 | DATE | HyperDyn: Dynamic Dimensional Masking for Efficient Hyper-Dimensional Computing. | Fangxin Liu, Haomin Li, Zongwu Wang, Dongxu Lyu, Li Jiang |
| 2025 | HPCA | CROSS: Compiler-Driven Optimization of Sparse DNNs Using Sparse/Dense Computation Kernels. | Fangxin Liu, Shiyuan Huang, Ning Yang, Zongwu Wang, Haomin Li, Li Jiang |
| 2025 | ICCAD | QUARK: Quantization-Enabled Circuit Sharing for Transformer Acceleration by Exploiting Common Patterns in Nonlinear Operations. | Zhixiong Zhao, Haomin Li, Fangxin Liu, Yuncheng Lu, Zongwu Wang, Tao Yang, Li Jiang, Haibing Guan |
| 2025 | ISCA | 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 |
| 2025 | NOMS | A Malicious Traffic Detection Method Based on 1D ConvNeXt and Multi-Scale Patches. | Maoli Wang, Yumeng Zhang, Haomin Li, Xu Zhou, Yongmao Ren |
| 2024 | ASPDAC | TSTC: Enabling Efficient Training via Structured Sparse Tensor Compilation. | Shiyuan Huang, Fangxin Liu, Tian Li, Zongwu Wang, Haomin Li, Li Jiang |
| 2024 | ASPDAC | HyperFeel: An Efficient Federated Learning Framework Using Hyperdimensional Computing. | Haomin Li, Fangxin Liu, Yichi Chen, Li Jiang |
| 2024 | ASPDAC | PAAP-HD: PIM-Assisted Approximation for Efficient Hyper-Dimensional Computing. | Fangxin Liu, Haomin Li, Ning Yang, Yichi Chen, Zongwu Wang, Tao Yang, Li Jiang |
| 2024 | ASPDAC | TEAS: Exploiting Spiking Activity for Temporal-wise Adaptive Spiking Neural Networks. | Fangxin Liu, Haomin Li, Ning Yang, Zongwu Wang, Tao Yang, Li Jiang |
| 2024 | DAC | 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 |
| 2024 | DAC | 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 |
| 2024 | DAC | EOS: An Energy-Oriented Attack Framework for Spiking Neural Networks. | Ning Yang, Fangxin Liu, Zongwu Wang, Haomin Li, Zhuoran Song, Songwen Pei, Li Jiang |
| 2024 | HPCA | 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 |
| 2024 | MICRO | COMPASS: SRAM-Based Computing-in-Memory SNN Accelerator with Adaptive Spike Speculation. | Zongwu Wang, Fangxin Liu, Ning Yang, Shiyuan Huang, Haomin Li, Li Jiang |
| 2023 | DAC | HyperAttack: An Efficient Attack Framework for HyperDimensional Computing. | Fangxin Liu, Haomin Li, Yongbiao Chen, Tao Yang, Li Jiang |
| 2023 | ICCAD | HyperNode: An Efficient Node Classification Framework Using HyperDimensional Computing. | Haomin Li, Fangxin Liu, Yichi Chen, Li Jiang |
| 2022 | ISSAC | Computing a Basis for an Integer Lattice: A Special Case. | Haomin Li, Arne Storjohann |
| 2022 | SIGIR | L3E-HD: A Framework Enabling Efficient Ensemble in High-Dimensional Space for Language Tasks. | Fangxin Liu, Haomin Li, Xiaokang Yang, Li Jiang |
| 2014 | AMIA | A Statistical Study of Words Used in Chinese Clinical Documents. | Meizhi Ju, Haomin Li |
| 2014 | AMIA | A Motivation Framework for Knowledge Translation in China. | Yinsheng Zhang, Haomin Li, Huilong Duan |
| 2014 | AMIA | An Extensible Integration Framework for CDS Applications. | Xiang Zheng, Haomin Li, Yinsheng Zhang, Huilong Duan |