Seunghyeok Oh

Hyundai Motors (South Korea) — South Korea

Computer Science · Physical Sciences

7h-index330citations15works0.02yr avg
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Research Topics

Quantum Computing Algorithms and Architecture(10), Quantum-Dot Cellular Automata(8), Quantum Information and Cryptography(7), Advanced Graph Theory Research(3), Complexity and Algorithms in Graphs(2)

Publications15 total

Innovative Virtual Evaluation Process for Outer Panel Stiffness Using Deep Learning Technology
SAE technical papers on CD-ROM/SAE technical paper series·2024
Algorithms for Computing Maximum Cliques in Hyperbolic Random Graphs
arXiv (Cornell University)·2023Open Access
Parameterized Algorithm for the Disjoint Path Problem on Planar Graphs: Exponential in <i>k</i><sup>2</sup> and Linear in <i>n</i>
Society for Industrial and Applied Mathematics eBooks·2023· 2 cited
Parameterized Algorithm for the Disjoint Path Problem on Planar Graphs: Exponential in $k^2$ and Linear in $n$
arXiv (Cornell University)·2022Open Access
Performance Comparison of SRCNN, VDSR, and SRDenseNet Deep Learning Models in Embedded Autonomous Driving Platforms
2021· 6 cited
A Tutorial on Quantum Graph Recurrent Neural Network (QGRNN)
2021· 21 cited
Quantum Convolutional Neural Network for Resource-Efficient Image Classification: A Quantum Random Access Memory (QRAM) Approach
2021· 30 cited
Proper Cost Hamiltonian Design for Combinatorial Optimization Problems: A Boolean Function Approach
2021
A Tutorial on Quantum Convolutional Neural Networks (QCNN)
2020· 153 cited
Quantum Approximation for Wireless Scheduling
Applied Sciences·2020· 39 citedOpen Access
Energy-Efficient Cluster Head Selection via Quantum Approximate Optimization
Electronics·2020· 21 citedOpen Access
A Tutorial on Quantum Convolutional Neural Networks (QCNN)
arXiv (Cornell University)·2020· 14 citedOpen Access
Quantum Approximation for Multi-Scale Scheduling
arXiv (Cornell University)·2020Open Access
Quantum Approximation for Wireless Scheduling
arXiv (Cornell University)·2020· 2 citedOpen Access
The Useful Quantum Computing Techniques for Artificial Intelligence Engineers
2020· 42 cited

Frequent Co-authors

Jaeho Choi(9), Joongheon Kim(9), Joongheon Kim(2), Jong‐Kook Kim(2), Soohyun Park(2), Kyungjin Cho(2), Eunjin Oh(2), MyungJae Shin(1), Dohyun Kim(1), Yeongeun Kang(1), Junghyun Kim(1), Haemin Lee(1), Won Joon Yun(1), Jae-Ho Choi(1), Seunghoon Park(1), Jaesung Yoo(1), Jaeho Choi(1), Tae‐Kyoung Uhm(1), Eunjin Oh(1)