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20222025
most citedAbs-CAM: A Gradient Optimization Interpretable Approach for Explanation of Convolutional Neural Networks

3 citations · 12 across the 12 of their papers we have counts for

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6 papers · 1 filter

cs.SD2022

End-to-end Recording Device Identification Based on Deep Representation Learning

Chunyan Zeng, Dongliang Zhu, Zhifeng Wang +3

Deep learning techniques have achieved specific results in recording device source identification. The recording device source features include spatial information and certain temp…

cs.CV2022★ 2 cited

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

Chunyan Zeng, Jiaxiang Ye, Zhifeng Wang +2

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 sampli…

eess.IV2022

Image Compressed Sensing with Multi-scale Dilated Convolutional Neural Network

Zhifeng Wang, Zhenghui Wang, Chunyan Zeng +2

Deep Learning (DL) based Compressed Sensing (CS) has been applied for better performance of image reconstruction than traditional CS methods. However, most existing DL methods util…

cs.SD2022

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

Chunyan Zeng, Shixiong Feng, Zhifeng Wang +3

The existing source cell-phone recognition method lacks the long-term feature characterization of the source device, resulting in inaccurate representation of the source cell-phone…

cs.CV2022★ 3 cited

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

Chunyan Zeng, Kang Yan, Zhifeng Wang +3

The black-box nature of Deep Neural Networks (DNNs) severely hinders its performance improvement and application in specific scenes. In recent years, class activation mapping-based…

cs.AI2022★ 2 cited

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

Zhifeng Wang, Wenxing Yan, Chunyan Zeng +1

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