Demo Data from EDBT 2026 / reviewers in the wild / expert
Mingwei Jiang
dblp:215/9844
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0009-0600-3345ORCID · reported
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics › data storytelling
data videos |
1.0 | 1 | 2026 | NewsVis: GenAI-Based Visual Storytelling for Corporate Financial News · IEEE Trans. Vis. Comput. Graph. 2026 |
Visualization and visual analytics
visual storytelling |
1.0 | 1 | 2026 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | NewsVis: GenAI-Based Visual Storytelling for Corporate Financial NewsabstractCorporate 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. | 2 |