Demo Data from SIGIR 2026 / reviewers in the wild / expert
Xingjian Zeng
dblp:408/7719
· DBLP profile ↗
3ranked-venue papers
1as first author
3since 2021 · last 2026
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Computer networks · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 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.
| Human-computer interaction and pervasive computing
1 paper |
Ubiquitous computing and smart environments · 56% Health and well-being technologies · 44% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Health and well-being technologies
physical activity motivation |
0.9 | 1 | 2025 | "Having it physical is a different story": Physicalizing personal data publicly to motivate physical activity · Int. J. Hum. Comput. Stud. 2025 |
Ubiquitous computing and smart environments
public displays |
0.3 | 1 | 2025 | "Having it physical is a different story": Physicalizing personal data publicly to motivate physical activity · Int. J. Hum. Comput. Stud. 2025 |
Methods — techniques the papers use, named apart from their topics
wizard-of-oz · 0.9in-the-wild study · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Beyond flat identification: Exploiting site-page structure for hierarchical webpage fingerprinting
Yali Yuan, Xingjian Zeng, Guang Cheng 0001 |
Comput. Networks | 3 |
| 2026 | AHE: Adaptive hybrid-sampling ensemble for large-scale highly imbalanced data classification
Xingjian Zeng, Yali Yuan, Hantao Mei, Guang Cheng 0001 |
Knowl. Based Syst. | 1 |
| 2025 | "Having it physical is a different story": Physicalizing personal data publicly to motivate physical activityabstractPublicly displaying personal tracking data can promote healthier lifestyles, with most existing research focusing on digital visualizations. However, public physicalizations have been shown to attract more attention and foster greater engagement. Despite this, few studies in this area have utilized personal physical activity data as input or explored its impact on motivating data generators’ physical activity. To address this gap, we designed PlanetWalker, a system that visualizes users’ walking steps on their phone and shows the visualization publicly through a digital display, as well as medium- and large-scale public physicalizations as probes. The probes were deployed following the Wizard of Oz method in sequence during a six-week in-the-wild study. Through evaluations with users generating data and passersby, our findings show how public physicalizations can improve motivation, facilitate social interaction, and increase engagement. We conclude by discussing the design directions for supporting the public presentation of personal data through public physicalization to motivate physical activity and provide design trade-offs and suggestions on the physicality and scale of the medium. Mengyan Guo, Qianhui Wei, Xingjian Zeng, Lorenzo Joël James, Pieter Van Gorp, Steven Vos, Steven Houben, Jun Hu 0001 |
Int. J. Hum. Comput. Stud. | 3 |