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)
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
- Accepted 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

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, article. 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)

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)

🗣 Conference Presentations

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
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
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.

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.