CR-SFP: Learning Consistent Representation for Soft Filter Pruning

no code implementations • 17 Dec 2023 • Jingyang Xiang, Zhuangzhi Chen, Jianbiao Mei, Siqi Li, Jun Chen, Yong liu

In this paper, we propose to mitigate this gap by learning consistent representation for soft filter pruning, dubbed as CR-SFP.

MaxQ: Multi-Axis Query for N:M Sparsity Network

1 code implementation • 12 Dec 2023 • Jingyang Xiang, Siqi Li, JunHao Chen, Zhuangzhi Chen, Tianxin Huang, Linpeng Peng, Yong liu

Meanwhile, a sparsity strategy that gradually increases the percentage of N:M weight blocks is applied, which allows the network to heal from the pruning-induced damage progressively.

Image Classification Instance Segmentation +3

Mixing Signals: Data Augmentation Approach for Deep Learning Based Modulation Recognition

no code implementations • 5 Apr 2022 • Xinjie Xu, Zhuangzhi Chen, Dongwei Xu, Huaji Zhou, Shanqing Yu, Shilian Zheng, Qi Xuan, Xiaoniu Yang

Data augmentation, as the strategy of expanding dataset, can improve the generalization of the deep learning models and thus improve the accuracy of the models to a certain extent.

Automatic Modulation Recognition Classification +1

RGP: Neural Network Pruning through Its Regular Graph Structure

no code implementations • 28 Oct 2021 • Zhuangzhi Chen, Jingyang Xiang, Yao Lu, Qi Xuan, Xiaoniu Yang

In this paper, we study the graph structure of the neural network, and propose regular graph based pruning (RGP) to perform a one-shot neural network pruning.

Network Pruning

Deep Transfer Clustering of Radio Signals

no code implementations • 26 Jul 2021 • Qi Xuan, Xiaohui Li, Zhuangzhi Chen, Dongwei Xu, Shilian Zheng, Xiaoniu Yang

In this letter, we turn to the more challenging problem: can we cluster the modulation types just based on a large number of unlabeled radio signals?

Clustering Deep Clustering +1

Adaptive Visibility Graph Neural Network and It's Application in Modulation Classification

no code implementations • 16 Jun 2021 • Qi Xuan, Kunfeng Qiu, Jinchao Zhou, Zhuangzhi Chen, Dongwei Xu, Shilian Zheng, Xiaoniu Yang

In this paper, we propose an Adaptive Visibility Graph (AVG) algorithm that can adaptively map time series into graphs, based on which we further establish an end-to-end classification framework AVGNet, by utilizing GNN model DiffPool as the classifier.

Avg Time Series +1

HVAQ: A High-Resolution Vision-Based Air Quality Dataset

1 code implementation • 18 Feb 2021 • Zuohui Chen, Tony Zhang, Zhuangzhi Chen, Yun Xiang, Qi Xuan, Robert P. Dick

The main contribution of this paper is that to the best of our knowledge, it is the first publicly available, high temporal and spatial resolution air quality dataset containing simultaneous point sensor measurements and corresponding images.

Vocal Bursts Intensity Prediction

SigNet: A Novel Deep Learning Framework for Radio Signal Classification

no code implementations • 28 Oct 2020 • Zhuangzhi Chen, Hui Cui, Jingyang Xiang, Kunfeng Qiu, Liang Huang, Shilian Zheng, Shichuan Chen, Qi Xuan, Xiaoniu Yang

More interestingly, our proposed models behave extremely well in small-sample learning when only a small training dataset is provided.

Classification Few-Shot Learning +1

Open DNN Box by Power Side-Channel Attack

no code implementations • 21 Jul 2019 • Yun Xiang, Zhuangzhi Chen, Zuohui Chen, Zebin Fang, Haiyang Hao, Jinyin Chen, Yi Liu, Zhefu Wu, Qi Xuan, Xiaoniu Yang

However, recent studies indicate that they are also vulnerable to adversarial attacks.