Automatic, Qualitative Scoring of the Interlocking Pentagon Drawing Test (PDT) Based on U-Net and Mobile Sensor Data. - In Gyu Park; Yun Joong Kim; Yeo Jin Kim; Unjoo Lee (Sensors, 2020)

To Reduce Healthcare Workload: Identify Critical Sepsis Progression Moments through Deep Reinforcement Learning. - Song Ju; Yeo Jin Kim; Markel Sanz Ausin; Maria E. Mayorga; Min Chi (IEEE BigData, 2021)

Multi-Temporal Abstraction with Time-Aware Deep Q-Learning for Septic Shock Prevention. - Yeo Jin Kim; Markel Sanz Ausin; Min Chi (IEEE BigData, 2021)

Language Modeling for Plan Generation in Game-Base Learning Environments. - Alex Goslen; Yeo Jin Kim; Jonathan P. Rowe; James C. Lester (LLM@AIED, 2023)

Language Model-Based Player Goal Recognition in Open World Digital Games. - Yeo Jin Kim; Alex Goslen; Jonathan P. Rowe; Bradford W. Mott; James C. Lester (AIIDE, 2023)

Time-aware deep reinforcement learning with multi-temporal abstraction. - Yeo Jin Kim; Min Chi (Appl. Intell., 2023)

Online Reinforcement Learning-Based Pedagogical Planning for Narrative-Centered Learning Environments. - Fahmid Morshed Fahid; Jonathan P. Rowe; Yeo Jin Kim; Shashank Srivastava; James C. Lester (AAAI, 2024)

Dual Process Masking for Dialogue Act Recognition. - Yeo Jin Kim; Halim Acosta; Wookhee Min; Jonathan P. Rowe; Bradford W. Mott; Snigdha Chaturvedi; James C. Lester (EMNLP (Findings), 2024)

Collaborative Problem-Solving Dialogue Analysis with Interpretable Temporal Clustering. - Yeo Jin Kim; Daeun Hong; Wookhee Min; Snigdha Chaturvedi; Cindy E. Hmelo-Silver; James C. Lester (AIED (3), 2025)

LLM-Based Student Plan Generation for Adaptive Scaffolding in Game-Based Learning Environments. - Alex Goslen; Yeo Jin Kim; Jonathan P. Rowe; James C. Lester (Int. J. Artif. Intell. Educ., 2025)