Modified Sequential Multipliers for Type-k Gaussian Normal Bases. - Chang Han Kim; Nam Su Chang; Young In Cho (MUE, 2011)

New Bit Parallel Multiplier With Low Space Complexity for All Irreducible Trinomials Over GF(2n). - Young In Cho; Nam Su Chang; Chang Han Kim; Young-Ho Park 001; Seokhie Hong (IEEE Trans. Very Large Scale Integr. Syst., 2012)

Formulas for cube roots in F3m using shifted polynomial basis. - Young In Cho; Nam Su Chang; Seokhie Hong (Inf. Process. Lett., 2014)

Machine Learning (Reinforcement Learning)-Based Steel Stock Yard Planning Algorithm. - Jong Hun Woo; Young In Cho; Sang Hyeon Yu; So Hyun Nam; Haoyu Zhu; Dong-Hoon Kwak; Jong Ho Nam (WSC, 2020)

Development of a Reinforcement Learning-Based Adaptive Scheduling Algorithm for Block Assembly Production Line. - Jong Hun Woo; Young In Cho; So Hyun Nam; Jong Ho Nam (WSC, 2021)

Automation of load balancing for Gantt planning using reinforcement learning. - Jong Hun Woo; Byeong-Seop Kim; SuHeon Ju; Young In Cho (Eng. Appl. Artif. Intell., 2021)

Minimize makespan of permutation flowshop using pointer network. - Young In Cho; So Hyun Nam; Ki Young Cho; Hee Chang Yoon; Jong Hun Woo (J. Comput. Des. Eng., 2021)

Development of Des Application for Factory Material Flow Simulation With Simpy. - So Hyun Nam; Seung Heon Oh; Hee Chang Yoon; Young In Cho; Ki Young Cho; Dong-Hoon Kwak; Jong Hun Woo (WSC, 2022)

Distributional reinforcement learning with the independent learners for flexible job shop scheduling problem with high variability. - Seung Heon Oh; Young In Cho; Jong Hun Woo (J. Comput. Des. Eng., 2022)

Applying Multi-agent Reinforcement Learning and Graph Neural Networks to Flexible Job Shop Scheduling Problem. - Seung Heon Oh; Young In Cho; Jong Hun Woo (APMS (3), 2023)

Locating algorithm of steel stock area with asynchronous advantage actor-critic reinforcement learning. - Young In Cho; Byeongseop Kim; Hee Chang Yoon; Jong Hun Woo (J. Comput. Des. Eng., 2023)

Graph-To-Sequence Approach for Job Shop Scheduling Problem. - Seung Heon Oh; Young In Cho; Seung-Woo Han; Jong Hun Woo (APMS (4), 2024)

Deep Reinforcement Learning for Setup and Tardiness Minimization in Parallel Machine Scheduling. - So Hyun Nam; Ji-Won Baek; Young In Cho; Jong Hun Woo (WSC, 2024)