20 citations · 37 across the 9 of their papers we have counts for
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3 papers · 1 filter
cs.SI2023★ 2 cited
Influential Simplices Mining via Simplicial Convolutional Network
Yujie Zeng, Yiming Huang, Qiang Wu +1
Simplicial complexes have recently been in the limelight of higher-order network analysis, where a minority of simplices play crucial roles in structures and functions due to netwo…
cs.CL2023★ 20 cited
RPTQ: Reorder-based Post-training Quantization for Large Language Models
Zhihang Yuan, Lin Niu, Jiawei Liu +7
Large-scale language models (LLMs) have demonstrated impressive performance, but their deployment presents challenges due to their significant memory usage. This issue can be allev…
cs.LG2023★ 4 cited
Benchmarking the Reliability of Post-training Quantization: a Particular Focus on Worst-case Performance
Zhihang Yuan, Jiawei Liu, Jiaxiang Wu +6
Post-training quantization (PTQ) is a popular method for compressing deep neural networks (DNNs) without modifying their original architecture or training procedures. Despite its e…