Demo Data from VLDB 2026 / reviewers in the wild / expert
Neil G. Xu
dblp:339/2458
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2025
0000-0003-4927-6510ORCID · 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 |
Health and well-being technologies · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Health and well-being technologies
sleep monitoring |
0.9 | 1 | 2025 | Beyond the Circadian Rhythm: Variable Cycles of Regularity Found in Long-Term Sleep Tracking · CHI 2025 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Beyond the Circadian Rhythm: Variable Cycles of Regularity Found in Long-Term Sleep Tracking
Ji Won Chung, Robin Yuan, Kirsi-Marja Zitting, Jiahua Chen, Neil G. Xu, Nediyana Daskalova, Jeff Huang 0002 |
CHI | 5 |
| 2022 | Bridging the Social Distance: Offline to Online Social Support during the COVID-19 PandemicabstractThe severe impact of COVID-19 in the United States has forced many students to replace in-person socialization with online digital contact. In this study, we investigate the mental health impacts associated with this shift by examining properties of online interactions that may affect loneliness and perceived social support. Students were surveyed (N=827) across 97 universities across the US during their first full semester impacted by the COVID-19 pandemic (Fall 2020). Private online interactions (messaging, phone call, video call) were found to have a comparable correlation to social support as face-to-face interactions, but public online interactions (social media) were associated with more negative outcomes. Among private platforms, messaging had the strongest correlation with social support; and daily self-disclosure over messaging yielded social support levels that were 1.21x higher than rarely or never disclosing over this platform. We speculate that factors such as the level of privacy and peoples' feelings of control contributed to disclosure and perceived social support in online platforms. Gabriela Hoefer, Talie Massachi, Neil G. Xu, Nicole Nugent, Jeff Huang 0002 |
Proc. ACM Hum. Comput. Interact. | 3 |