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Yon Shin Teo
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2020 – today
- 2024
- [j1]Yanran Li
, Yan Zheng
, Yon Shin Teo
, Shangwei Lin
:
Is AI testing beneficial for the manufacturer and social welfare? Optimal test strategy of a smart product. Expert Syst. Appl. 241: 122637 (2024) - [c5]Shang-Wei Lin, Tzu-Fan Wang, Yean-Ru Chen, Zhe Hou
, David Sanán, Yon Shin Teo:
A Parallel and Distributed Quantum SAT Solver Based on Entanglement and Teleportation. TACAS (2) 2024: 363-382 - [i2]Zhiming Li, Yushi Cao, Xiufeng Xu, Junzhe Jiang, Xu Liu, Yon Shin Teo, Shang-Wei Lin, Yang Liu:
LLMs for Relational Reasoning: How Far are We? CoRR abs/2401.09042 (2024) - 2023
- [c4]Yushi Cao, Yanran Li, Yon Shin Teo, Yan Zheng, Zhexin Liang, Shang-Wei Lin:
An Automatic Test Plan Generation Approach for Automotive Software Testing. SoMeT 2023: 18-27 - [i1]Shang-Wei Lin, Tzu-Fan Wang, Yean-Ru Chen, Zhe Hou, David Sanán, Yon Shin Teo:
A Parallel and Distributed Quantum SAT Solver Based on Entanglement and Quantum Teleportation. CoRR abs/2308.03344 (2023) - 2022
- [c3]Yushi Cao, Yon Shin Teo, Yan Zheng, Yuxuan Toh, Shang-Wei Lin:
A Holistic Automated Software Structure Exploration Framework for Testing. SoMeT 2022: 286-297 - 2021
- [c2]Yushi Cao, Yan Zheng, Shang-Wei Lin, Yang Liu
, Yon Shin Teo, Yuxuan Toh, Vinay Vishnumurthy Adiga:
Automatic HMI Structure Exploration Via Curiosity-Based Reinforcement Learning. ASE 2021: 1151-1155
2010 – 2019
- 2017
- [c1]Yon Shin Teo, Zihong Yuan, Wee Siong Ng, Yangfan Zhang, Valerie Phangt:
Towards a deep learning powered query engine for urban planning. IALP 2017: 99-102
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last updated on 2024-08-05 20:23 CEST by the dblp team
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