Publications

You can also find my articles on my Google Scholar profile.

Fangxin Liu, Ning Yang, Zhiyan Song, Zongwu Wang, Haomin Li, Shiyuan Huang, Zhuoran Song, Songwen Pei and Li Jiang, “INSPIRE: Accelerating Deep Neural Networks via Hardware-friendly Index-Pair Encoding” to appear in 61th Design Automation Conference ( DAC'24 ).

Ning Yang, Fangxin Liu, Zongwu Wang, Haomin Li, Zhuoran Song, Songwen Pei and Li Jiang, “EOS: An Energy-Oriented Attack Framework for Spiking Neural Networks” to appear in 61th Design Automation Conference ( DAC'24 ).

Yansong Xu, Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Zilong Wang, Gang Wang, Zhican Wang, Haomin Li and Guanghui He, “DEFA: Efficient Deformable Attention Acceleration via Pruning-Assisted Grid-Sampling and Multi-Scale Parallel Processing” to appear in 61th Design Automation Conference ( DAC'24 ).

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” to appear in 30th International Symposium on High-Performance Computer Architecture ( HPCA'24 ).

Fangxin Liu=, Haomin Li=, Ning Yang, Yichi Chen, Zongwu Wang, Tao Yang, Li Jiang, “PAAP-HD: PIM-Assisted Approximation for Efficient Hyper-Dimensional Computing.” to appear in 29th Asia and South Pacific Design Automation Conference ( ASPDAC'23 ).

Fangxin Liu=, Haomin Li=, Ning Yang, Zongwu Wang, Tao Yang, Li Jiang, “TEAS: Exploiting Spiking Activity for Temporal-wise Adaptive Spiking Neural Networks.” to appear in 29th Asia and South Pacific Design Automation Conference ( ASPDAC'23 ).

Shiyuan Huang=, Fangxin Liu=, Tian Li, Zongwu Wang, Haomin Li, Li Jiang, “TSTC: Enabling Efficient Training via Structured Sparse Tensor Compilation.” to appear in 29th Asia and South Pacific Design Automation Conference ( ASPDAC'23 ).

Haomin Li=, Fangxin Liu=, Yichi Chen, Li Jiang, “HyperFeel: An Efficient Federated Learning Framework Using Hyperdimensional Computing.” to appear in 29th Asia and South Pacific Design Automation Conference ( ASPDAC'23 ).

Haomin Li=, Fangxin Liu=, Yichi Li, Li Jiang, “HyperNode: An Efficient Node Classification Framework Using HyperDimensional Computing.” to appear in 42th IEEE/ACM International Conference on Computer-Aided Design ( ICCAD'23 ).

Fangxin Liu=, Haomin Li=, Yongbiao Chen, Tao Yang, Li Jiang, “HyperAttack: An Efficient Attack Framework for HyperDimensional Computing.” to appear in 60th Design Automation Conference ( DAC'23 ).

Fangxin Liu, Haomin Li, Xiaokang Yang,Li Jiang; “L3E-HD: A Framework Enabling Efficient Ensemble in High-Dimensional Space for Language Tasks.”, to appear in 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'23 ‘22) code link

Qiao-Ying Ji, Xiu-Jun Gong, Haomin Li, Pu-Feng Du; “DeepSE: Detecting super-enhancers among typical enhancers using only sequence feature embeddings”, Genomics, 113(6): 4052-4060.