The Useful Quantum Computing Techniques for Artificial Intelligence Engineers. - Jaeho Choi; Seunghyeok Oh; Joongheon Kim (ICOIN, 2020)

A Tutorial on Quantum Convolutional Neural Networks (QCNN). - Seunghyeok Oh; Jaeho Choi; Joongheon Kim (ICTC, 2020)

Quantum Approximation for Multi-Scale Scheduling. - Jaeho Choi; Seunghyeok Oh; Joongheon Kim (CoRR, 2020)

A Tutorial on Quantum Graph Recurrent Neural Network (QGRNN). - Jaeho Choi; Seunghyeok Oh; Joongheon Kim (ICOIN, 2021)

Proper Cost Hamiltonian Design for Combinatorial Optimization Problems: A Boolean Function Approach. - Jaeho Choi; Seunghyeok Oh; Soohyun Park; Jong-Kook Kim; Joongheon Kim (ICOIN, 2021)

Performance Comparison of SRCNN, VDSR, and SRDenseNet Deep Learning Models in Embedded Autonomous Driving Platforms. - Joongheon Kim; Myungjae Shin; Dohyun Kim 001; Soohyun Park; Yeongeun Kang; Junghyun Kim; Haemin Lee; Won Joon Yun; Jaeho Choi; Seunghoon Park; Seunghyeok Oh; Jaesung Yoo (ICOIN, 2021)

Quantum Convolutional Neural Network for Resource-Efficient Image Classification: A Quantum Random Access Memory (QRAM) Approach. - Seunghyeok Oh; Jaeho Choi; Jong-Kook Kim; Joongheon Kim (ICOIN, 2021)

Parameterized Algorithm for the Disjoint Path Problem on Planar Graphs: Exponential in k2 and Linear in n. - Kyungjin Cho; Eunjin Oh 001; Seunghyeok Oh (CoRR, 2022)

Algorithms for Computing Maximum Cliques in Hyperbolic Random Graphs. - Eunjin Oh 001; Seunghyeok Oh (ESA, 2023)

Parameterized Algorithm for the Disjoint Path Problem on Planar Graphs: Exponential in k2 and Linear in n. - Kyungjin Cho; Eunjin Oh 001; Seunghyeok Oh (SODA, 2023)