Yon Shin Teo

According to our database, Yon Shin Teo authored at least 9 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Is AI testing beneficial for the manufacturer and social welfare? Optimal test strategy of a smart product.

Yanran Li, Yan Zheng, Yon Shin Teo, Shangwei Lin

Expert Syst. Appl., 2024

A Parallel and Distributed Quantum SAT Solver Based on Entanglement and Teleportation.

Shang-Wei Lin, Tzu-Fan Wang, Yean-Ru Chen, Zhe Hou, David Sanán, Yon Shin Teo

Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2024

LLMs for Relational Reasoning: How Far are We?

Zhiming Li, Yushi Cao, Xiufeng Xu, Junzhe Jiang, Xu Liu, Yon Shin Teo, Shang-Wei Lin, Yang Liu

LLM4CODE@ICSE, 2024

Improving Neural Logic Machines via Failure Reflection.

Zhiming Li, Yushi Cao, Yan Zheng, Xu Liu, Bozhi Wu, Tianlin Li, Xiufeng Xu, Junzhe Jiang, Yon Shin Teo, Shang-Wei Lin, Yang Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

A Parallel and Distributed Quantum SAT Solver Based on Entanglement and Quantum Teleportation.

Shang-Wei Lin, Tzu-Fan Wang, Yean-Ru Chen, Zhe Hou, David Sanán, Yon Shin Teo

CoRR, 2023

An Automatic Test Plan Generation Approach for Automotive Software Testing.

Yushi Cao, Yanran Li, Yon Shin Teo, Yan Zheng, Zhexin Liang, Shang-Wei Lin

Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2023

2022

A Holistic Automated Software Structure Exploration Framework for Testing.

Yushi Cao, Yon Shin Teo, Yan Zheng, Yuxuan Toh, Shang-Wei Lin

Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2022

2021

Automatic HMI Structure Exploration Via Curiosity-Based Reinforcement Learning.

Yushi Cao, Yan Zheng, Shang-Wei Lin, Yang Liu, Yon Shin Teo, Yuxuan Toh, Vinay Vishnumurthy Adiga

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

2017

Towards a deep learning powered query engine for urban planning.

Yon Shin Teo, Zihong Yuan, Wee Siong Ng, Yangfan Zhang, Valerie Phangt

Proceedings of the 2017 International Conference on Asian Language Processing, 2017