1 citations · 2 across the 5 of their papers we have counts for
5 papers
Unveiling the Potential of Quantization with MXFP4: Strategies for Quantization Error Reduction
Jatin Chhugani, Geonhwa Jeong, Bor-Yiing Su +8
Large Language Models (LLMs) have intensified the need for low-precision formats that enable efficient, large-scale inference. The Open Compute Project (OCP) Microscaling (MX) stan…
A Dynamic Knowledge Distillation Method Based on the Gompertz Curve
Han Yang, Guangjun Qin
This paper introduces a novel dynamic knowledge distillation framework, Gompertz-CNN, which integrates the Gompertz growth model into the training process to address the limitation…
Research on fusing topological data analysis with convolutional neural network
Yang Han, Qin Guangjun, Liu Ziyuan +3
Convolutional Neural Network (CNN) struggle to capture the multi-dimensional structural information of complex high-dimensional data, which limits their feature learning capability…
LightGBM robust optimization algorithm based on topological data analysis
Han Yang, Guangjun Qin, Ziyuan Liu +2
To enhance the robustness of the Light Gradient Boosting Machine (LightGBM) algorithm for image classification, a topological data analysis (TDA)-based robustness optimization algo…
Compression Performance Analysis of Different File Formats
Han Yang, Guangjun Qin, Yongqing Hu
In data storage and transmission, file compression is a common technique for reducing the volume of data, reducing data storage space and transmission time and bandwidth. However,…