Demo Data from EDBT 2026 / reviewers in the wild / expert
Hongyi Hu
dblp:17/6061
· DBLP profile ↗
4ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0005-7015-3971ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1Security and privacy · 1Databases, data management, data science and information retrieval · 1Human-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.
| Network and information security
1 paper |
Malware analysis · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Design research and methods · 100% | |
| Computer networks
2 papers |
Internet of things and sensor networks · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Spatial and temporal data management · 100% |
Topics — the 5 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Malware analysis
dynamic malware analysis |
0.2 | 1 | 2016 | LO-PHI: Low-Observable Physical Host Instrumentation for Malware Analysis · NDSS 2016 |
Design research and methods
computational design |
0.2 | 1 | 2024 | Touch-n-Go: Designing and Fabricating Touch Fastening Structures by FDM 3D Printing · CHI 2024 |
Spatial and temporal data management › spatial query processing
geo-spatial query |
0.1 | 1 | 2006 | Data management in the CarTel mobile sensor computing system · SIGMOD Conference 2006 |
Internet of things and sensor networks
mobile sensor networks |
0.1 | 1 | 2006 | Data management in the CarTel mobile sensor computing system · SIGMOD Conference 2006 |
Internet of things and sensor networks › mobile sensing
vehicular sensing |
0.0 | 1 | 2006 | The CarTel mobile sensor computing system · SenSys 2006 |
Methods — techniques the papers use, named apart from their topics
experimental validation · 0.8design tool · 0.8FDM 3D printing · 0.8physical host instrumentation · 0.2dynamic query system · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Touch-n-Go: Designing and Fabricating Touch Fastening Structures by FDM 3D PrintingabstractTouch fastening structures are widely used to quickly assemble and disassemble an object with multiple parts. However, such structures are under-explored in the context of additive manufacturing for personal fabrication. We proposed Touch-n-Go, a method for designing touch-fastening structures with customizable mechanical properties such as holding capacities or shearing strength. Additionally, the customization of fastener patterns enables both static and dynamic connections, and the dynamic connections grant the freedom of rotation and translation. To facilitate the customization process, we developed a design tool that allows the integration of fastening structures on the surface of a 3D-printed object. Furthermore, we validated the fastening properties of Touch-n-Go through a series of experiments, and the result exhibits performances that match or even surpass off-the-shelf fasteners. Finally, we demonstrated the implementation of Touch-n-Go through a collection of applications. Lingyun Sun, Deying Pan, Hongyi Hu, Junzhe Ji, Yue Tao, Shanghua Lou, Boyi Lian, Yitao Fan, Ye Tao 0001, Guanyun Wang |
CHI | 4 |
| 2016 | LO-PHI: Low-Observable Physical Host Instrumentation for Malware Analysis
Chad Spensky, Hongyi Hu, Kevin Leach |
NDSS | 2 |
| 2006 | The CarTel mobile sensor computing systemabstractNo abstract available. Vladimir Bychkovsky, Kevin Chen 0002, Michel Goraczko, Hongyi Hu, Bret Hull, Allen K. L. Miu, Eugene Shih, Hari Balakrishnan, Samuel Madden 0001 |
SenSys | 4 |
| 2006 | Data management in the CarTel mobile sensor computing systemabstractWe propose a reusable data management system, called CarTel, for querying and collecting data from intermittently connected devices. CarTel provides a simple, incrementally-deployable platform for developing automobile-based sensor applications. Our platform provides a dynamic query system that allows both continuous (standing) and one-shot geo-spatial queries over car position, speed, and sensory data as well as a both a low-cost/high-bandwidth substrate for communicating with a large network of mobile devices. Vladimir Bychkovsky, Kevin Chen 0002, Michel Goraczko, Hongyi Hu, Bret Hull, Allen K. L. Miu, Eugene Shih, Hari Balakrishnan, Samuel Madden 0001 |
SIGMOD Conference | 4 |