YL
Yuanyong Luo
cs.LGcs.AIcs.ARcs.CLartificial neural networkdeep learningdeep networksinference-latencyobject classificationspiking network conversion
On Valency
published · living versionsW_863tmwxz·v1 · currentpublished
Calibration of Large Model Quantization based on HiFloat4 Format
with Jing Huang, Yu Cheng, Ziwei Yu, Lan Zhao +9
1 version
Preprints & journals
6 papers in the corpus · 2021–2026HiFloat4 Format for Language Model Pre-training on Ascend NPUs2604.08826v2 · Mehran Taghian, Yunke Peng, Xing Huang et al.2026 · 0 citationsarXiv
Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat Formats2602.12635v3 · Pengxiang Zhao, Hui-Ling Zhen, Xing Li et al.2026 · 1 citationarXiv
HiFloat4 Format for Language Model Inference2602.11287v2 · Yuanyong Luo, Jing Huang, Yu Cheng et al.2026 · 0 citationsarXiv
BAPS: A Fine-Grained Low-Precision Scheme for Softmax in Attention via Block-Aware Precision reScaling2602.02071v1 · Zisheng Ye, Xiaoyu He, Maoyuan Song et al.2026 · 0 citationsarXiv
Ascend HiFloat8 Format for Deep Learning2409.16626v2 · Yuanyong Luo, Zhongxing Zhang, Richard Wu et al.2024 · 1 citationarXiv
Effective Plug-Ins for Reducing Inference-Latency of Spiking Convolutional Neural Networks During Inference Phase.34733147 · Chen, Xuan, Yuan, Xiaopeng, Fu, Gaoming et al.2021 · 2 citationsFrontiers in computational neuroscience. 2021;15:697469
Career total: 30 works. 6 are in this corpus.
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