Yi-Chun Chen

Also known as: Rimi Chen

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.

Works (9)

Updated: October 22nd, 2024 18:55

2023 journal article

A Customizable Generator for Comic-Style Visual Narrative

ArXiv Preprint ArXiv:2401.02863.

By: Y. Chen & A. Jhala

Source: ORCID
Added: October 13, 2024

2023 thesis

A Framework with Hierarchical Models for Visual Narrative Sequence Comprehension and its Applications

North Carolina State University.

By: Y. Chen

Source: ORCID
Added: October 13, 2024

2023 journal article

CPST: Comprehension-Preserving Style Transfer for Multi-Modal Narratives

ArXiv Preprint ArXiv:2312.08695.

By: Y. Chen & A. Jhala

Source: ORCID
Added: October 13, 2024

2023 journal article

Panel Transitions for Genre Analysis in Visual Narratives

ArXiv Preprint ArXiv:2312.08720.

By: Y. Chen & A. Jhala

Source: ORCID
Added: October 13, 2024

2022 journal article

Characterizing the perception of urban spaces from visual analytics of street-level imagery

AI & SOCIETY, 38(4), 1361–1371.

By: F. Freitas n, T. Berreth*, Y. Chen n & A. Jhala n

author keywords: Urban studies; Interactive analytics; Feature mapping; Machine learning; Computer vision; Streetscape photography; Geographic information systems
TL;DR: This paper describes the process of incorporating subjective visual ratings across two datasets of temporally separated street-view images, an algorithm, and a visualization tool, and describes the results of training algorithms that utilized image features with crowdsourced human perception ratings. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: December 24, 2022

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).

By: Y. Chen & A. Jhala

Source: ORCID
Added: October 13, 2024

2018 conference paper

Abstractions for Narrative Comprehension Tasks.

INT/WICED@ AIIDE.

By: Y. Chen, J. Robertson & A. Jhala

Source: ORCID
Added: October 13, 2024

2013 thesis

Oracle learning for agent negotiation based on rationality in task allocation problem

(M.S. thesis).

By: Y. Chen

Source: NC State University Libraries
Added: October 20, 2024

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.

By: Y. Huang, Y. Chen, W. Yu & V. Soo

Source: ORCID
Added: October 13, 2024

Employment

Updated: October 12th, 2024 16:25

2023 - 2025

North Carolina State University Raleigh, US
Research Scholar Computer Science

2015 - 2023

North Carolina State University Raleigh, US
Graduate Research/Teaching Assistant Computer Science

2014 - 2015

Academia Sinica Taipei, TW
Research Assistant Institute of Information Science (IIS)

Education

Updated: October 12th, 2024 16:23

2015 - 2023

North Carolina State University Raleigh, NC, US
Doctor of Philosophy Computer Science

2011 - 2013

National Tsing Hua University Hsinchu, TW
Master of Science Computer Science

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