IngukChoi Homepage - Publications

🚀 Under Review

Towards a Unified Model for Flexible Job Shop Scheduling Problems
- Inguk Choi, Woo-Jin Shin, Sang-Hyun Cho, and Hyun-Jung Kim
- Under review at Neural Information Processing Systems (NeurIPS 2026)
SchedDiff: Diffusion-Based Priority Refinement for Job Shop Scheduling
- Dong-Yoon Oh, Sang-Hyun Cho, Inguk Choi, and Hyun-Jung Kim
- Under review at Neural Information Processing Systems (NeurIPS 2026)
Scene Graph Grounded Spatial Understanding with Vision-Language Models for Embodied Robotic Systems
- Taewoo Kim, Kangje Moon, Wonhyeok Choi, Jiseok Kwak, Sangwu Park, Suhyeon Jo, Jimin Seo, Donghyeok Shin, Junwon Yang, Dongha Lee, Yeonu Seo, Inguk Choi, Minju Cho, Sunggyoo Yoon, Jiwon Kang, Sejoon Jun, Hyungho Na, Chanyoung Park, Hyun-Jung Kim, IL-Chul Moon, and Byeonghu Na
- Under review at IEEE Robotics and Automation Letters (RA-L)
Multi-Objective Photolithography Scheduling with Dual-Resource Constraints Using Graph-Based Reinforcement Learning
- Sang-Hyun Cho, Inguk Choi, Boyoon Choi, Paul Han, and Hyun-Jung Kim
- Under review at International Journal of Production Research (IJPR)
RAG-enhanced Query Disambiguation in Spreadsheet-based Semiconductor Supply Chain Management
- Jimin Park, Inguk Choi, Sanghyun Joo, Yongjae Kim, Geonho Oh, Yoon Song, and Hyun-Jung Kim
- Under review at Winter Simulation Conference (WSC 2026)
A Unified Learning Framework for the Block Relocation Problem: A New Performance Baseline
- Woo-Jin Shin, Ji-Kang Jung, Sang-Hyun Cho, Inguk Choi, Shunji Tanaka, and Hyun-Jung Kim
- Major revision at European Journal of Operational Research (EJOR)

📖 Publications

Journal Papers

Learning to Retrieve Containers: A Scale-Diverse Deep Reinforcement Learning Approach for the Container Retrieval Problem [Paper]
- Woo-Jin Shin, Inguk Choi, Sang-Hyun Cho, and Hyun-Jung Kim
- Transportation Research Part C: Emerging Technologies (TR-C), vol.183, 105496, 2026. (SCIE, Q1)
A Multi-View Attention-Based Encoder-Decoder Framework for Clustered Traveling Salesman Problem [Paper]
- (†: Co-first) Jimin Park†, Inguk Choi†, and Hyun-Jung Kim
- IEEE Robotics and Automation Letters (IEEE RA-L), vol.11, no.1, pp.137-144, 2026. (SCIE, Q1)

AI/ML Conference Papers

Preference-Guided Multi-Policy Optimization for Solving Flexible Job Shop Scheduling (Accepted)
- Inguk Choi, Woo-Jin Shin, Sang-Hyun Cho, and Hyun-Jung Kim
- The 35th International Joint Conference on Artifical Intelligence (IJCAI), Bremen, Germany, 2026. (CORE A* Conference)
Towards Generalizable Multi-Policy Optimization with Self-Evolution for Job Scheduling [Paper]
- Inguk Choi, Woo-Jin Shin, Sang-Hyun Cho, and Hyun-Jung Kim
- Advances in Neural Information Processing Systems (NeurIPS), vol. 38, pp. 24569–24616, 2025. (CORE A* Conference)

Other Peer-reviewed Conference Papers

An Empirical Study on the Assessment of Demand Forecasting Reliability for Fabless Semiconductor Companies [Paper]
- Inguk Choi, Seon-Young Hwang, Jeogsun Ahn, Jehun Lee, Sanghyun Joo, Kiung Kim, Haechan Lee, Yoong Song, and Hyun-Jung Kim
- Winter Simulation Conference (WSC), Seattle, USA, 2025.
- Collaboration with Samsung Electronics

🗣 Conference Presentations Only

International

Learning-based Scheduling for Stochastic Job Shop Scheduling with Mobile Robots
- W.J. Shin, D. Oh, I. Choi, M. Wiktorsson, E. Florest-Garcia, Y. Jeong, and H.-J. Kim
- Winter Simulation Conference (WSC), Seattle, USA, 2025.
- Collaboration with KTH Royal Institute of Technology
Adaptive Self-Supervised Learning for Solving Flow Shop Scheduling Problems
- I. Choi and H.-J. Kim
- IEEE International Conference on Automation Science and Engineering (IEEE CASE), Los Angeles, USA, 2025.

Domestic

A Self-Imitation Learning Framework for Neural Dispatching Rule Optimization
- I. Choi and H.-J. Kim
- The Spring Conference of Korea Institute of Industrial Engineers (KIIE), Jeju, South Korea, 2025.
Multi-objective Scheduling for Photo Process Using Reinforcement Learning
- S.-H. Cho, S.-H. Jung, I. Choi, B. Choi, B. Han, and H.-J. Kim
- The Spring Conference of Korean Institute of Industrial Engineers (KIIE), Jeju, South Korea, 2025.
- Collaboration with Samsung Display
Deep Reinforcement Learning-based Encoder-Decoder Framework for The Clustered Traveling Salesman Problem
- (†: Co-first) J. Park†, I. Choi†, S.-H. Cho and H.-J. Kim
- The Autumn Conference of Korea Institute of Industrial Engineers (KIIE), Seoul, South Korea, 2024.