EDBT 2026 Demo / reviewers in the wild / expert
Fuqu Wu
dblp:69/6267
· DBLP profile ↗
4ranked-venue papers
1as first author
0since 2021 · last 2009
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 3 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1
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
2 papers |
Visualization and visual analytics · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Smart cities and intelligent transportation · 100% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics › data visualization › image visualization
image collection visualization |
0.1 | 1 | 2009 | PhotoScope: visualizing spatiotemporal coverage of photos for construction management · CHI 2009 |
Visualization and visual analytics
spatiotemporal visualization |
0.1 | 1 | 2009 | PhotoScope: visualizing spatiotemporal coverage of photos for construction management · CHI 2009 |
Visualization and visual analytics › information visualization
spatialization |
0.1 | 1 | 2007 | Spatialization Design: Comparing Points and Landscapes · IEEE Trans. Vis. Comput. Graph. 2007 |
Visualization and visual analytics › visualization evaluation
user study |
0.0 | 1 | 2007 | Spatialization Design: Comparing Points and Landscapes · IEEE Trans. Vis. Comput. Graph. 2007 |
Methods — techniques the papers use, named apart from their topics
user evaluation · 0.2controlled experiment · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | PhotoScope: visualizing spatiotemporal coverage of photos for construction managementabstractPhotoScope visualizes the spatiotemporal coverage of photos in a photo collection. It extends the standard photo browsing paradigm in two main ways: visualizing spatial coverage of photos, and indexing photos by a combination of spatial coverage, time, and content specifications. This approach enables users to browse and search space- and time-indexed photos more effectively. We designed PhotoScope specifically to address challenges in the construction management industry, where large photo collections are amassed to document project progress. These ideas may also apply to any photo collection that is spatially constrained and must be searched using spatial, temporal, and content criteria. We describe the design choices made when developing PhotoScope and the results of user evaluation. Fuqu Wu, Melanie Tory |
CHI | 1 |
| 2008 | Music selection using the PartyVote democratic jukeboxabstractPartyVote is a democratic music jukebox designed to give all participants an equal influence on the music played at social gatherings or parties. PartyVote is designed to provide appropriate music in established social groups with minimal user interventions and no pre-existing user profiles. The visualization uses dimensionality reduction to show song similarity and overlays information about how votes affect the music played. Visualizing voting decisions allows users to link music selections with individuals, providing social awareness. Traditional group norms can subsequently be leveraged to maintain fair system use and empower users. David W. Sprague, Fuqu Wu, Melanie Tory |
AVI | 2 |
| 2008 | Physical and Digital Artifact-Mediated Coordination in Building Design
Melanie Tory, Sheryl Staub-French, Barry A. Po, Fuqu Wu |
Comput. Support. Cooperative Work. | 4 |
| 2007 | Spatialization Design: Comparing Points and LandscapesabstractSpatializations represent non-spatial data using a spatial layout similar to a map. We present an experiment comparing different visual representations of spatialized data, to determine which representations are best for a non-trivial search and point estimation task. Primarily, we compare point-based displays to 2D and 3D information landscapes. We also compare a colour (hue) scale to a grey (lightness) scale. For the task we studied, point-based spatializations were far superior to landscapes, and 2D landscapes were superior to 3D landscapes. Little or no benefit was found for redundantly encoding data using colour or greyscale combined with landscape height. 3D landscapes with no colour scale (height-only) were particularly slow and inaccurate. A colour scale was found to be better than a greyscale for all display types, but a greyscale was helpful compared to height-only. These results suggest that point-based spatializations should be chosen over landscape representations, at least for tasks involving only point data itself rather than derived information about the data space. Melanie Tory, David W. Sprague, Fuqu Wu, Wing Yan So, Tamara Munzner |
IEEE Trans. Vis. Comput. Graph. | 3 |