EDBT 2026 Demo / reviewers in the wild / expert
Shuyao Chen
dblp:263/1701
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2025
0000-0002-4394-8534ORCID · 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
1 paper |
User interface design and tools · 87% Collaborative and social computing · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
User interface design and tools
creative tools |
0.7 | 1 | 2023 | Magical Brush: A Symbol-Based Modern Chinese Painting System for Novices · CHI 2023 |
User interface design and tools › creativity support tools
digital painting |
0.7 | 1 | 2023 | Magical Brush: A Symbol-Based Modern Chinese Painting System for Novices · CHI 2023 |
Collaborative and social computing
cultural heritage technologies |
0.2 | 1 | 2023 | Magical Brush: A Symbol-Based Modern Chinese Painting System for Novices · CHI 2023 |
Methods — techniques the papers use, named apart from their topics
user study · 0.7generative model · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | RealtimeGen: An Intervenable AI Image Generation System for Commercial Digital Art Asset CreatorsabstractRecent advances in artificial intelligence-generated content (AIGC) have led to the rapid generation of high-quality images. AIGC has attracted the attention of commercial digital art asset creators. Traditional artist-led processes contrast with current AI tools that often reduce creators to passive roles. This study examines the integration of AI image generation into commercial digital art, emphasizing the importance of preserving creators’ creative autonomy. Our formative study (S1) involved interviews with commercial digital art creators, highlighting a need for greater control and transparency in AI-assisted painting. In response, we developed RealtimeGen, an integrated tool that merges human creativity with AI’s capabilities, allowing creators to intervene in the generative process. A user study (S2) comparing RealtimeGen with the popular AIGC tool Stable Diffusion was also carried out. The results showed its enhanced user experience and workflow compatibility. Our work contributes to understanding and improving AI-assisted painting workflows for commercial creators, offering them greater creative agency. Zejian Li, Ying Zhang 0076, Shengzhe Zhou, Qi Liu 0076, Jiesi Zhang, Shuyao Chen, Lingyun Sun |
Int. J. Hum. Comput. Interact. | 7 |
| 2023 | Magical Brush: A Symbol-Based Modern Chinese Painting System for NovicesabstractModern Chinese painting is a new type of painting inherited from ancient Chinese painting. Drawing modern Chinese painting is time-consuming and laborious, which is difficult for novices to start. Symbols are fundamental components of Chinese cultural works both materially and mentally. We introduce a symbol-based modern Chinese painting system termed Magical Brush. Magical Brush combines symbolic cultural factors with AI generative models, with the attempt to help novices create a complete modern Chinese painting, learn basic ideas of Chinese paintings and obtain co-creation engagement. In user study, we compare Magical Brush to other AI and non-AI digital painting tools. Results indicate that by combining cultural factors, Magical Brush can help novices easily create modern Chinese paintings and experience the cultural connotations in the process. Shuyao Chen, Ying Zhang 0120 |
CHI | 2 |