1 citations · 2 across the 4 of their papers we have counts for
5 papers
Enhancing Learning Path Recommendation via Multi-task Learning
Afsana Nasrin, Lijun Qian, Pamela Obiomon +1
Personalized learning is a student-centered educational approach that adapts content, pace, and assessment to meet each learner's unique needs. As the key technique to implement th…
Data Augmentation via Diffusion Model to Enhance AI Fairness
Christina Hastings Blow, Lijun Qian, Camille Gibson +2
AI fairness seeks to improve the transparency and explainability of AI systems by ensuring that their outcomes genuinely reflect the best interests of users. Data augmentation, whi…
Deep Knowledge Tracing for Personalized Adaptive Learning at Historically Black Colleges and Universities
Ming-Mu Kuo, Xiangfang Li, Lijun Qian +2
Personalized adaptive learning (PAL) stands out by closely monitoring individual students' progress and tailoring their learning paths to their unique knowledge and needs. A crucia…
Comprehensive Validation on Reweighting Samples for Bias Mitigation via AIF360
Christina Hastings Blow, Lijun Qian, Camille Gibson +2
Fairness AI aims to detect and alleviate bias across the entire AI development life cycle, encompassing data curation, modeling, evaluation, and deployment-a pivotal aspect of ethi…
Inverse Quantum Fourier Transform Inspired Algorithm for Unsupervised Image Segmentation
Taoreed Akinola, Xiangfang Li, Richard Wilkins +2
Image segmentation is a very popular and important task in computer vision. In this paper, inverse quantum Fourier transform (IQFT) for image segmentation has been explored and a n…