46 citations · 98 across the 13 of their papers we have counts for
13 papers
A Machine Learning-Based Error Mitigation Approach For Reliable Software Development On IBM'S Quantum Computers
Asmar Muqeet, Shaukat Ali, Tao Yue +1
Quantum computers have the potential to outperform classical computers for some complex computational problems. However, current quantum computers (e.g., from IBM and Google) have…
Reality Bites: Assessing the Realism of Driving Scenarios with Large Language Models
Jiahui Wu, Chengjie Lu, Aitor Arrieta +2
Large Language Models (LLMs) are demonstrating outstanding potential for tasks such as text generation, summarization, and classification. Given that such models are trained on a h…
DeepQTest: Testing Autonomous Driving Systems with Reinforcement Learning and Real-world Weather Data
Chengjie Lu, Tao Yue, Man Zhang +1
Autonomous driving systems (ADSs) are capable of sensing the environment and making driving decisions autonomously. These systems are safety-critical, and testing them is one of th…
Cost Reduction on Testing Evolving Cancer Registry System
Erblin Isaku, Hassan Sartaj, Christoph Laaber +4
The Cancer Registration Support System (CaReSS), built by the Cancer Registry of Norway (CRN), is a complex real-world socio-technical software system that undergoes continuous evo…
Digital Twin-based Anomaly Detection with Curriculum Learning in Cyber-physical Systems
Qinghua Xu, Shaukat Ali, Tao Yue
Anomaly detection is critical to ensure the security of cyber-physical systems (CPS). However, due to the increasing complexity of attacks and CPS themselves, anomaly detection in…
Towards Quantum Software Requirements Engineering
Tao Yue, Shaukat Ali, Paolo Arcaini
Quantum software engineering (QSE) is receiving increasing attention, as evidenced by increasing publications on topics, e.g., quantum software modeling, testing, and debugging. Ho…