Publications

[P1] Woosung Koh*, Sungjun Han*, Segyu Lee, Se-Young Yun, Jay Shin (2026). Generative Visual Code Mobile World Models. Pre-print.

[C4] Woosung Koh, Juyoung Suk, Sungjun Han, Se-Young Yun, Jay Shin (2025). Predicting LLM Reasoning Performance with Small Proxy Model. ICLR 2026.

[C3] Woosung Koh, Wonbeen Oh, Jaein Jang, MinHyung Lee, Hyeongjin Kim, Ah Yeon Kim, Joonkee Kim, Junghyun Lee, Taehyeon Kim, Se-Young Yun (2025). AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners. NeurIPS 2025.

[C2] Woosung Koh*, Jang Han Yoon*, MinHyung Lee, Youngjin Song, Jaegwan Cho, Jaehyun Kang, Taehyeon Kim, Se-Young Yun, Youngjae Yu, Bongshin Lee (2024). C$^2$: Scalable Auto-Feedback for LLM-based Chart Generation. NAACL 2025 Main (Oral, Long) (7.7% of Submissions).

[C1] Woosung Koh, Wonbeen Oh, Siyeol Kim, Suhin Shin, Hyeongjin Kim, Jaein Jang, Junghyun Lee, Se-Young Yun (2024). FlickerFusion: Intra-trajectory Domain Generalizing Multi-Agent RL. ICLR 2025.

[W2] Insu Choi*, Woosung Koh*, Gimin Kang, Yuntae Jang, Woo Chang Kim (2024). Encoding Temporal Statistical-space Priors via Augmented Representation. IJCAI 2024 STRL Workshop (Oral).

[W1] Woosung Koh*, Insu Choi*, Yuntae Jang*, Gimin Kang, Woo Chang Kim (2024). Curriculum Learning and Imitation Learning for Model-free Control on Financial Time-series. AAAI 2024 AI4TS Workshop (Oral) (Top 27% of Accepted Papers).

[J1] Insu Choi*, Woosung Koh*, Bonwoo Koo*, Woo Chang Kim (2024). Network-based exploratory data analysis and explainable three-stage deep clustering for financial customer profiling. Engineering Applications of Artificial Intelligence (SCIE, Q1).