3 citations · 12 across the 12 of their papers we have counts for
12 papers
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…
UKTF: Unified Knowledge Tracing Framework for Subjective and Objective Assessments
Zhifeng Wang, Jiaqin Wan, Yang Yang +2
With the continuous deepening and development of the concept of smart education, learners' comprehensive development and individual needs have received increasing attention. Howeve…
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…
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…
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…
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…