1 citations · 2 across the 5 of their papers we have counts for
6 papers
CF-Net: A Cross-Feature Reconstruction Network for High-Accuracy 1-Bit Target Classification
Jundong Qi, Weize Sun, Shaowu Chen +2
Target classification is a fundamental task in radar systems, and its performance critically depends on the quantization precision of the signal. While high-precision quantization…
Optimal Brain Connection: Towards Efficient Structural Pruning
Shaowu Chen, Wei Ma, Binhua Huang +5
Structural pruning has been widely studied for its effectiveness in compressing neural networks. However, existing methods often neglect the interconnections among parameters. To a…
POCKET: Pruning Random Convolution Kernels for Time Series Classification from a Feature Selection Perspective
Shaowu Chen, Weize Sun, Lei Huang +3
In recent years, two competitive time series classification models, namely, ROCKET and MINIROCKET, have garnered considerable attention due to their low training cost and high accu…
WHC: Weighted Hybrid Criterion for Filter Pruning on Convolutional Neural Networks
Shaowu Chen, Weize Sun, Lei Huang
Filter pruning has attracted increasing attention in recent years for its capacity in compressing and accelerating convolutional neural networks. Various data-independent criteria,…
Sub-network Multi-objective Evolutionary Algorithm for Filter Pruning
Xuhua Li, Weize Sun, Lei Huang +1
Filter pruning is a common method to achieve model compression and acceleration in deep neural networks (DNNs).Some research regarded filter pruning as a combinatorial optimization…
Joint Matrix Decomposition for Deep Convolutional Neural Networks Compression
Shaowu Chen, Jiahao Zhou, Weize Sun +1
Deep convolutional neural networks (CNNs) with a large number of parameters require intensive computational resources, and thus are hard to be deployed in resource-constrained plat…