Seo-Young Lee

1. [6]
   Human-Aligned Procedural Level Generation Reinforcement Learning via Text-Level-Sketch Shared Representation
   In-Chang Baek^*, Seo-Young Lee^*, Sung-Hyun Kim, Geumhwan Hwang, Kyung-Joong Kim
   IEEE Transactions on Games (Early Access) (2026) · Published

   arXiv DOI Code
2. [5]
   Shared Representation for 3D Pose Estimation, Action Classification, and Progress Prediction from Tactile Signals
   Isaac Han, Seoyoung Lee, Sangyeon Park, Ecehan Akan, Yiyue Luo, Jeffrey DelPreto, Kyung-Joong Kim
   arXiv (2026) · Preprint

   DOI
3. [4]
   Multi-Objective Instruction-Aware Representation Learning in Procedural Content Generation Reinforcement Learning
   Sung-Hyun Kim, Geum-Hwan Hwang, In-Chang Baek, Seo-Young Lee, Kyung-Joong Kim
   IEEE Conference on Games (CoG 2026) (2026) · Accepted

   Best Paper Award Nominee

   arXiv Conference
4. [3]
   IPCGRL: Language-Instructed RL for Procedural Level Generation
   In-Chang Baek, Sung-Hyun Kim, Seo-Young Lee, Dong-Hyeon Kim, Kyung-Joong Kim
   IEEE Conference on Games (CoG 2025) (2025) · Published

   DOI Code
5. [2]
   Automatic Curriculum Design for Zero-Shot Human-AI Coordination
   Won-Sang You, Tae-Gwan Ha, Seo-Young Lee, Kyung-Joong Kim
   IEEE Access (2025) · Published

   DOI
6. [1]
   Smart Insole: Predicting 3D Human Pose from Foot Pressure
   Isaac Han, Seoyoung Lee, Sangyeon Park, Ecehan Akan, Yiyue Luo, Kyung-Joong Kim
   2nd NeurIPS Workshop on Touch Processing: From Data to Knowledge, 2024 (2024) · Published

Arcana Trigger

Card Game Design, Card Combat, Floor-Level PCG & Integration · 2-person team · Jul–Aug 2026 · Approximately 2 weeks

Co-designed and developed a Unity 6/C# hybrid deck-building and bullet-hell action game in a two-person team over approximately two weeks for the NHN Game × AI Hackathon preliminary submission. I was responsible for card game design, card combat, PCG that randomly generates the entire level on each floor, and related integration. The team did not advance beyond the preliminary round.