IngukChoi Homepage - Publications

🚀 Under Review

Learning Generalizable Multi-Robot Coordination from Local Observation in Conveyor-Based Robotic Workcells
- Dong-Ha Lee, Inguk Choi, Yuqian Lu, and Hyun-Jung Kim
Towards a Unified Model for Flexible Job Shop Scheduling Problems
- Inguk Choi, Woo-Jin Shin, Sang-Hyun Cho, and Hyun-Jung Kim
SchedDiff: Diffusion-Based Priority Refinement for Job Shop Scheduling
- Dong-Yoon Oh, Sang-Hyun Cho, Inguk Choi, and Hyun-Jung Kim
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
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

📖 Publications

Journal Articles

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)

AI/ML Conference Proceedings

Preference-Guided Multi-Policy Optimization for Flexible Job Shop Scheduling [Accepted]
- Inguk Choi, Woo-Jin Shin, Sang-Hyun Cho, and Hyun-Jung Kim
- The 35th International Joint Conference on Artificial Intelligence (IJCAI), Bremen, Germany, 2026. (ICORE 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. (ICORE A* Conference)

🗣 Conference Presentations

International

RAG-enhanced Query Disambiguation in Spreadsheet-based Semiconductor Supply Chain Management [Accepted]
- J. Park, I. Choi, S. Joo, Y. Kim, G. Oh, Y. Song, and H.-J. Kim
- Winter Simulation Conference (WSC), Glasgow, Scotland, 2026.
- Collaboration with Samsung Electronics
Real-Time Robotic Assembly Cell Scheduling via Generalizable Multi-Agent Reinforcement Learning
- D.-H. Lee, I. Choi, W.-J. Shin, Y. Lu, and H.-J. Kim
- IEEE International Conference on Automation Science and Engineering (IEEE CASE), Shenyang, China, 2026.
- Collaboration with University of Auckland
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]
- I. Choi, S.-Y. Hwang, J. Ahn, J Lee, S. Joo, K. Kim, H. Lee, Y. Song, and H.-J. 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.

Domestic

Graph Reinforcement Learning-based Integrated Scheduling for OLED TFT Array Manufacturing
- S.-H. Cho, S.-H. Jung, I. Choi, B.-Y. Choi, B. Han, and H.-J. Kim
- The Spring Conference of Korean Institute of Industrial Engineers (KIIE), Gyeongju, 2026.
- Collaboration with Samsung Display
Natural Language-based Modification of Semiconductor Supply Management Spreadsheets using Retrieval-Augmented Generation
- J. Park, I. Choi, S. Joo, Y. Kim, G. Oh, Y. Song, and H.-J. Kim
- The Spring Conference of Korean Institute of Industrial Engineers (KIIE), Gyeongju, 2026.
- Collaboration with Samsung Electronics
A Learning Framework for the Container Relocation Problem in Container Yards
- W.-J. Shin, J.-K. Jung, S.-H. Cho, I. Choi, S. Tanaka, and H.-J. Kim
- The Spring Conference of Korean Institute of Industrial Engineers (KIIE), Gyeongju, 2026.
Learning-Based UAV Path Planning for Clustered Reconnaissance Targets
- W.-J. Shin, I. Choi, J.-Y Shin, and H.-J. Kim
- The Spring Conference of Korean Institute of Industrial Engineers (KIIE), Gyeongju, 2026.
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, 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, 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, 2024.