3 citations · 15 across the 19 of their papers we have counts for
19 papers
Mask-Robust Face Verification for Online Learning via YOLOv5 and Residual Networks
Zhifeng Wang, Minghui Wang, Chunyan Zeng +3
In the contemporary landscape, the fusion of information technology and the rapid advancement of artificial intelligence have ushered school education into a transformative phase c…
Dynamically Weighted Momentum with Adaptive Step Sizes for Efficient Deep Network Training
Zhifeng Wang, Longlong Li, Chunyan Zeng
Within the current sphere of deep learning research, despite the extensive application of optimization algorithms such as Stochastic Gradient Descent (SGD) and Adaptive Moment Esti…
TLCD: A Deep Transfer Learning Framework for Cross-Disciplinary Cognitive Diagnosis
Zhifeng Wang, Meixin Su, Yang Yang +2
Driven by the dual principles of smart education and artificial intelligence technology, the online education model has rapidly emerged as an important component of the education i…
A Closed-Loop Personalized Learning Agent Integrating Neural Cognitive Diagnosis, Bounded-Ability Adaptive Testing, and LLM-Driven Feedback
Zhifeng Wang, Xinyue Zheng, Chunyan Zeng
As information technology advances, education is moving from one-size-fits-all instruction toward personalized learning. However, most methods handle modeling, item selection, and…
TLSQKT: A Question-Aware Dual-Channel Transformer for Literacy Tracing from Learning Sequences
Zhifeng Wang, Yaowei Dong, Chunyan Zeng
Knowledge tracing (KT) supports personalized learning by modeling how students' knowledge states evolve over time. However, most KT models emphasize mastery of discrete knowledge c…
Mobile Recording Device Recognition Based Cross-Scale and Multi-Level Representation Learning
Chunyan Zeng, Yuhao Zhao, Zhifeng Wang
This paper introduces a modeling approach that employs multi-level global processing, encompassing both short-term frame-level and long-term sample-level feature scales. In the ini…
PhysioFormer: Integrating Multimodal Physiological Signals and Symbolic Regression for Explainable Affective State Prediction
Zhifeng Wang, Wanxuan Wu, Chunyan Zeng
Most affective computing tasks still rely heavily on traditional methods, with few deep learning models applied, particularly in multimodal signal processing. Given the importance…
Multi-Scale Deformable Transformers for Student Learning Behavior Detection in Smart Classroom
Zhifeng Wang, Minghui Wang, Chunyan Zeng +1
The integration of Artificial Intelligence into the modern educational system is rapidly evolving, particularly in monitoring student behavior in classrooms, a task traditionally d…
DSARSR: Deep Stacked Auto-encoders Enhanced Robust Speaker Recognition
Zhifeng Wang, Chunyan Zeng, Surong Duan +2
Speaker recognition is a biometric modality that utilizes the speaker's speech segments to recognize the identity, determining whether the test speaker belongs to one of the enroll…
Learning Behavior Recognition in Smart Classroom with Multiple Students Based on YOLOv5
Zhifeng Wang, Jialong Yao, Chunyan Zeng +3
Deep learning-based computer vision technology has grown stronger in recent years, and cross-fertilization using computer vision technology has been a popular direction in recent y…
Graph Neural Networks Enhanced Smart Contract Vulnerability Detection of Educational Blockchain
Zhifeng Wang, Wanxuan Wu, Chunyan Zeng +3
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…
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…
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…
Audio Tampering Detection Based on Shallow and Deep Feature Representation Learning
Zhifeng Wang, Yao Yang, Chunyan Zeng +3
Digital audio tampering detection can be used to verify the authenticity of digital audio. However, most current methods use standard electronic network frequency (ENF) databases f…
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…
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…
Digital Audio Tampering Detection Based on ENF Spatio-temporal Features Representation Learning
Chunyan Zeng, Shuai Kong, Zhifeng Wang +2
Most digital audio tampering detection methods based on electrical network frequency (ENF) only utilize the static spatial information of ENF, ignoring the variation of ENF in time…
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…
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…