1 citations · 3 across the 6 of their papers we have counts for
8 papers
Multimodal Injury Risk Prediction in Tennis
Francisco Erramuspe Alvarez, Shobharani Polasa, Weihao Qu +2
Machine learning has had a significant positive impact on the prediction of athlete performance and injury risk. Most works in this field rely on subjective observations and expert…
Security Education in Higher Education through AI-Powered Gamification
Bingjun Li, Christopher Buzaid, Weihao Qu
Cybersecurity education is facing more challenges as AI-driven attacks are becoming increasingly realistic and difficult to detect. Traditional video-based cybersecurity training i…
Enhancing User Resilience Against AI-Augmented Phishing: A Two-Stage Framework for Detection and Personalized Training
Weihao Qu, Gurmeet Singh, Daniel Crawford +2
The rapid development of artificial intelligence, including agents and deepfake techniques, has accelerated phishing attacks and lowered the threshold for attackers. Modern phishin…
Multimodal Injury Risk and Performance Prediction in Tennis Using Weighted Ensemble Learning
Weihao Qu, Dongyang Wang, Ling Zheng +3
Machine learning has had a positive impact on the sports industry, with one of its most promising applications being the prediction of athlete performance and injury risk. Recent a…
Time-Aware Tranformer-Based Prediction Model for AECOPD
Weihao Qu, Ling Zheng, Dongyang Wang +2
The rapid symptom change of Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) makes it critical to have time-sensitive prediction models. However, most current m…
A Two-Stage Time-Aware Transformer for Short-Horizon AECOPD Risk Prediction
Dongyang Wang, Weihao Qu, Ling Zheng +1
Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) can worsen rapidly, making timely prediction a clinical priority. Most existing machine learning approaches rel…
Multi-Tier Mentorship with AI-Assisted Development: Authentic Engineering for K-12 and Undergraduates
Kelly Yuan, Ronald Liu, Daniel Crawford +1
K-12 students often possess creative engineering ideas but lack technical skills to build them, while undergraduates have coding expertise but few opportunities to lead real-world…
LearnAI: Just-in-Time AI Co-Creation Across Disciplines at a University
Weihao Qu, Ling Zheng, Chris Buzaid +1
As generative AI reshapes professional and educational practice, institutions face a challenge: how to support diverse learners, from non-coders to advanced students, in building c…