Search Results for author: Chunyan Zeng

Found 7 papers, 1 papers with code

Learning Behavior Recognition in Smart Classroom with Multiple Students Based on YOLOv5

no code implementations20 Mar 2023 Zhifeng Wang, Jialong Yao, Chunyan Zeng, Wanxuan Wu, Hongmin Xu, Yang Yang

The use of computer vision technology to identify students' learning behavior in the classroom can reduce the workload of traditional teachers in supervising students in the classroom, and ensure greater accuracy and comprehensiveness.

Graph Neural Networks Enhanced Smart Contract Vulnerability Detection of Educational Blockchain

no code implementations8 Mar 2023 Zhifeng Wang, Wanxuan Wu, Chunyan Zeng, Jialong Yao, Yang Yang, Hongmin Xu

With the development of blockchain technology, more and more attention has been paid to the intersection of blockchain and education, and various educational evaluation systems and E-learning systems are developed based on blockchain technology.

Vulnerability Detection

JSRNN: Joint Sampling and Reconstruction Neural Networks for High Quality Image Compressed Sensing

no code implementations11 Nov 2022 Chunyan Zeng, Jiaxiang Ye, Zhifeng Wang, Nan Zhao, Minghu Wu

Most Deep Learning (DL) based Compressed Sensing (DCS) algorithms adopt a single neural network for signal reconstruction, and fail to jointly consider the influences of the sampling operation for reconstruction.

Compressive Sensing Denoising +1

Image Compressed Sensing with Multi-scale Dilated Convolutional Neural Network

1 code implementation28 Sep 2022 Zhifeng Wang, Zhenghui Wang, Chunyan Zeng, Yan Yu, Xiangkui Wan

During the measurement period, we directly obtain all measurements from a trained measurement network, which employs fully convolutional structures and is jointly trained with the reconstruction network from the input image.

Blocking Image Compressed Sensing +2

Spatio-Temporal Representation Learning Enhanced Source Cell-phone Recognition from Speech Recordings

no code implementations25 Aug 2022 Chunyan Zeng, Shixiong Feng, Zhifeng Wang, Xiangkui Wan, Yunfan Chen, Nan Zhao

In this paper, we propose a source cell-phone recognition method based on spatio-temporal representation learning, which includes two main parts: extraction of sequential Gaussian mean matrix features and construction of a recognition model based on spatio-temporal representation learning.

Representation Learning Time Series Analysis

Abs-CAM: A Gradient Optimization Interpretable Approach for Explanation of Convolutional Neural Networks

no code implementations8 Jul 2022 Chunyan Zeng, Kang Yan, Zhifeng Wang, Yan Yu, Shiyan Xia, Nan Zhao

However, when this method uses backpropagation to obtain gradients, it will cause noise in the saliency map, and even locate features that are irrelevant to decisions.

UIILD: A Unified Interpretable Intelligent Learning Diagnosis Framework for Intelligent Tutoring Systems

no code implementations7 Jul 2022 Zhifeng Wang, Wenxing Yan, Chunyan Zeng, Shi Dong

Intelligent learning diagnosis is a critical engine of intelligent tutoring systems, which aims to estimate learners' current knowledge mastery status and predict their future learning performance.

Representation Learning

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