Food for Thought: Analyzing Public Opinion on the Supplemental Nutrition Assistance Program. - Miriam Chappelka; Jihwan Oh; Dorris Scott; Mizzani Walker-Holmes (CoRR, 2017)

Knowledge-Guided Biclustering via Sparse Variational EM Algorithm. - Changgee Chang; Eun Jeong Min; Jihwan Oh; Qi Long (ICBK, 2019)

GRIA: Graphical Regularization for Integrative Analysis. - Changgee Chang; Jihwan Oh; Qi Long (SDM, 2020)

Real-time and Explainable Detection of Epidemics with Global News Data. - Sungnyun Kim; Jaewoo Shin; Seongha Eom; Jihwan Oh; Se-Young Yun (Healthcare AI and COVID-19 Workshop, 2022)

Risk Perspective Exploration in Distributional Reinforcement Learning. - Jihwan Oh; Joonkee Kim; Se-Young Yun (CoRR, 2022)

The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions. - Mingyu Kim 002; Jihwan Oh; Yongsik Lee; Joonkee Kim; Seonghwan Kim 004; Song Chong; Se-Young Yun (CoRR, 2022)

Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning. - Jihwan Oh; Joonkee Kim; Minchan Jeong; Se-Young Yun (AAMAS, 2023)

The StarCraft Multi-Agent Exploration Challenges: Learning Multi-Stage Tasks and Environmental Factors Without Precise Reward Functions. - Mingyu Kim 002; Jihwan Oh; Yongsik Lee; Joonkee Kim; Seonghwan Kim 004; Song Chong; Seyoung Yun (IEEE Access, 2023)

Integrative learning of structured high-dimensional data from multiple datasets. - Changgee Chang; Zongyu Dai; Jihwan Oh; Qi Long (Stat. Anal. Data Min., 2023)

Preference Alignment with Flow Matching. - Minu Kim; Yongsik Lee; Sehyeok Kang; Jihwan Oh; Song Chong; Se-Young Yun (NeurIPS, 2024)

Diffusion-based Episodes Augmentation for Offline Multi-Agent Reinforcement Learning. - Jihwan Oh; Sungnyun Kim; Gahee Kim; Sunghwan Kim; Se-Young Yun (CoRR, 2024)

Learning to Verify Summary Facts with Fine-Grained LLM Feedback. - Jihwan Oh; Jeonghwan Choi; Nicole Hee-Yeon Kim; Taewon Yun; Hwanjun Song (COLING, 2025)

Learning to Summarize from LLM-generated Feedback. - Hwanjun Song; Taewon Yun; Yuho Lee; Jihwan Oh; Gihun Lee; Jason Cai; Hang Su (NAACL (Long Papers), 2025)

When Debate Fails: Bias Reinforcement in Large Language Models. - Jihwan Oh; Minchan Jeong; Jongwoo Ko; Se-Young Yun (CoRR, 2025)

ReFeed: Multi-dimensional Summarization Refinement with Reflective Reasoning on Feedback. - Taewon Yun; Jihwan Oh; Hyangsuk Min; Yuho Lee; Jihwan Bang; Jason Cai; Hwanjun Song (CoRR, 2025)

LLM Agents for Bargaining with Utility-based Feedback. - Jihwan Oh; Murad Aghazada; Se-Young Yun; Taehyeon Kim 001 (CoRR, 2025)

Characterizing Compute-Communication Overlap in GPU-Accelerated Distributed Deep Learning: Performance and Power Implications. - Seonho Lee; Jihwan Oh; Junkyum Kim; Seokjin Go; Jongse Park; Divya Mahajan 001 (CoRR, 2025)