APA (7th ed.) Citation

Liu, F., Zhao, W., Wang, Z., Chen, Y., He, Z., Jing, N., . . . Jiang, L. (2022). EBSP: Evolving Bit Sparsity Patterns for Hardware-Friendly Inference of Quantized Deep Neural Networks. DAC: Annual ACM/IEEE Design Automation Conference, 59, 259. https://doi.org/10.1145/3489517.3530660

Chicago Style (17th ed.) Citation

Liu, Fangxin, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Zhezhi He, Naifeng Jing, Xiaoyao Liang, and Li Jiang. "EBSP: Evolving Bit Sparsity Patterns for Hardware-Friendly Inference of Quantized Deep Neural Networks." DAC: Annual ACM/IEEE Design Automation Conference 59 (2022): 259. https://doi.org/10.1145/3489517.3530660.

MLA (9th ed.) Citation

Liu, Fangxin, et al. "EBSP: Evolving Bit Sparsity Patterns for Hardware-Friendly Inference of Quantized Deep Neural Networks." DAC: Annual ACM/IEEE Design Automation Conference, 59, 2022, p. 259, https://doi.org/10.1145/3489517.3530660.