Visual Narrative, Multimodal understanding, Artificial Intelligence, Computer Vision, Machine Learning, Generative AI
Yi-Chun Chen earned a Ph.D. in Computer Science from North Carolina State University in 2023 under the mentorship of Dr. Arnav Jhala. Yi-Chun’s research focuses on Visual Narrative Comprehension and Generation, exploring the intersection of multimodal understanding, machine learning, and generative AI. Currently a research scholar at the Automated Reasoning for Narratives and Visuals (ARNAV) Lab at NCSU, Yi-Chun has applied AI models and frameworks to innovative image sequence analysis and generation tools. With a deep interest in blending AI, computer vision, and creativity, Yi-Chun’s work has opened up new applications in visual storytelling.
2023 journal article
A Customizable Generator for Comic-Style Visual Narrative
ArXiv Preprint ArXiv:2401.02863.
2023 thesis
A Framework with Hierarchical Models for Visual Narrative Sequence Comprehension and its Applications
North Carolina State University.
2023 journal article
CPST: Comprehension-Preserving Style Transfer for Multi-Modal Narratives
ArXiv Preprint ArXiv:2312.08695.
2023 journal article
Panel Transitions for Genre Analysis in Visual Narratives
ArXiv Preprint ArXiv:2312.08720.
2022 journal article
Characterizing the perception of urban spaces from visual analytics of street-level imagery
AI & SOCIETY, 38(4), 1361–1371.
2021 conference paper
A Computational Model of Comprehension in Manga Style Visual Narratives
Proceedings of the Annual Meeting of the Cognitive Science Society, 43(43).
2018 conference paper
Abstractions for Narrative Comprehension Tasks.
INT/WICED@ AIIDE.
2013 thesis
Oracle learning for agent negotiation based on rationality in task allocation problem
(M.S. thesis).
2012 conference paper
Stochastic negotiation with market utility for automated power restoration on a smart grid
Third International Workshop in Agent Technologies for Energy Systems.
Updated: October 12th, 2024 16:25
2023 - 2025
2015 - 2023
2014 - 2015
Updated: October 12th, 2024 16:23
2015 - 2023
2011 - 2013
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