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Boyuan Huangfu

dblp:440/0403 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational finance and economics · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics › data storytelling
data videos
1.012026
NewsVis: GenAI-Based Visual Storytelling for Corporate Financial News · IEEE Trans. Vis. Comput. Graph. 2026
Visualization and visual analytics
visual storytelling
1.012026
NewsVis: GenAI-Based Visual Storytelling for Corporate Financial News · IEEE Trans. Vis. Comput. Graph. 2026

Methods — techniques the papers use, named apart from their topics

multimodal layout algorithm · 2.0human-in-the-loop · 2.0generative AI · 2.0
YearPublicationVenuePosition
2026 NewsVis: GenAI-Based Visual Storytelling for Corporate Financial News
abstract
Corporate financial news is pivotal for market decisions, but often overwhelms general audiences. While data videos effectively bridge this comprehension gap, their production remains a bottleneck for journalists. We present NewsVis, an authoring tool powered by Generative Artificial Intelligence (GenAI) that automates the transformation of unstructured narratives and raw financial datasets into professional data videos. Unlike generic models, our pipeline ensures factual accuracy through a domain-specific taxonomy of financial attributes and optimizes visual information presentation via a multimodal layout algorithm. Additionally, a human-in-the-loop interface empowers journalists to audit and calibrate generative outputs. Comprehensive quantitative and qualitative evaluations demonstrate that NewsVis significantly reduces production barriers while enhancing information accessibility for viewers.
Jia Bu, Mingwei Jiang, Tong Lyu, Lumeng Wu, Shiqi Jiang 0001, Boyuan Huangfu, Changbo Wang, Chenhui Li 0001
IEEE Trans. Vis. Comput. Graph.7