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)

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)

Unsupervised optical small bowel ischemia detection in a preclinical model using convolutional variational autoencoders. - Gyeong Woo Cheon; So Hyun Nam; Jaepyeong Cha (Computer-Aided Diagnosis, 2022)

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)

Beyond the Lab: Exploring the Socio-Technical Implications of Machine Learning in Biopharmaceutical Manufacturing. - Erik Flores-García; So Hyun Nam; Yongkuk Jeong; Magnus Wiktorsson; Jong Hun Woo (APMS (3), 2023)

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)