Ryang Heo

I’m a M.S. student in the Data & Language Intelligence (DLI) Lab at Yonsei University, advised by Prof. Dongha Lee.

If you're interested in collaborating on research or exploring new ideas together, please feel free to connect with me anytime!

[ E-mail / Google Scholar / LinkedIn / GitHub / X ]

🔎 Research Interest

My research aims to understand how users engage with online content, and to use that understanding to improve the services people experience on these platforms. I am particularly interested in leveraging multimodal large language models to analyze large-scale social and web data spanning text, images, and video, capturing users' interests and what makes content succeed. Building on this, I am increasingly focused on personalization, recommender systems, and agentic systems that turn this understanding into more useful, user-centered services.

📚 Publications

{ }: denotes equal contribution.

	Personalized Reward Modeling for Text-to-Image Generation Jeongeun Lee, Ryang Heo, Dongha Lee ECCV, 2026 Paper / Code
	Will It Go Viral? Grounding Micro-Video Popularity Prediction on the Open Web Ryang Heo, Dongha Lee arXiv, 2026 Paper / Code
	Why These Documents? Explainable Generative Retrieval with Hierarchical Category Paths Sangam Lee, Ryang Heo, SeongKu Kang, Susik Yoon, Jinyoung Yeo, Dongha Lee ACL Findings, 2026 Paper / Code
	AgenticShop: Benchmarking Agentic Product Curation for Personalized Web Shopping {Sunghwan Kim, Ryang Heo}, Yongsik Seo, Jinyoung Yeo, Dongha Lee WWW, 2026 Paper / Code
	Can Large Language Models be Effective Online Opinion Miners? Ryang Heo, Yongsik Seo, Junseong Lee, Dongha Lee EMNLP Main, 2025 Paper / Code
	Imagine All The Relevance: Scenario-Profiled Indexing with Knowledge Expansion for Dense Retrieval Sangam Lee, Ryang Heo, SeongKu Kang, Dongha Lee COLM, 2025 Paper / Code
	Make Compound Sentences Simple to Analyze: Learning to Split Sentences for Aspect-based Sentiment Analysis {Yongsik Seo, Sungwon Song, Ryang Heo}, Jieyong Kim, Dongha Lee EMNLP Findings, 2024 Paper / Code
	Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy {Jieyong Kim, Ryang Heo}, Yongsik Seo, SeongKu Kang, Jinyoung Yeo, Dongha Lee ACL Findings, 2024 Paper / Code