Demo Data from VLDB 2026 / reviewers in the wild / expert
Yinghou Wang
dblp:371/8283
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2025
0009-0004-6270-8474ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 2 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.
| Human-computer interaction and pervasive computing
2 papers |
User interface design and tools · 65% Interaction techniques and input · 35% | |
| Computer graphics and multimedia
1 paper |
Visual content generation and editing · 77% Visualization and visual analytics · 23% |
Topics — the 2 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Interaction techniques and input
direct manipulation |
0.9 | 1 | 2025 | Brickify: Enabling Expressive Design Intent Specification through Direct Manipulation on Design Tokens · CHI 2025 |
Visualization and visual analytics
visual design |
0.2 | 1 | 2024 | Piet: Facilitating Color Authoring for Motion Graphics Video · CHI 2024 |
Methods — techniques the papers use, named apart from their topics
interview study · 1.5in-lab user study · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Brickify: Enabling Expressive Design Intent Specification through Direct Manipulation on Design Tokens
Xinyu Shi 0002, Yinghou Wang, Ryan Rossi, Jian Zhao 0010 |
CHI | 2 |
| 2024 | Piet: Facilitating Color Authoring for Motion Graphics VideoabstractMotion graphic (MG) videos are effective and compelling for presenting complex concepts through animated visuals; and colors are important to convey desired emotions, maintain visual continuity, and signal narrative transitions. However, current video color authoring workflows are fragmented, lacking contextual previews, hindering rapid theme adjustments, and not aligning with designers’ progressive authoring flows. To bridge this gap, we introduce Piet, the first tool tailored for MG video color authoring. Piet features an interactive palette to visually represent color distributions, support controllable focus levels, and enable quick theme probing via grouped color shifts. We interviewed 6 domain experts to identify the frustrations in current tools and inform the design of Piet. An in-lab user study with 13 expert designers showed that Piet effectively simplified the MG video color authoring and reduced the friction in creative color theme exploration. Xinyu Shi 0002, Yinghou Wang, Yun Wang 0012, Jian Zhao 0010 |
CHI | 2 |