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Hongyi Hu

dblp:17/6061 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Malware analysis
dynamic malware analysis
0.212016
LO-PHI: Low-Observable Physical Host Instrumentation for Malware Analysis · NDSS 2016
Design research and methods
computational design
0.212024
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
0.112006
Data management in the CarTel mobile sensor computing system · SIGMOD Conference 2006
Internet of things and sensor networks
mobile sensor networks
0.112006
Data management in the CarTel mobile sensor computing system · SIGMOD Conference 2006
Internet of things and sensor networks › mobile sensing
vehicular sensing
0.012006
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
YearPublicationVenuePosition
2024 Touch-n-Go: Designing and Fabricating Touch Fastening Structures by FDM 3D Printing
abstract
Touch 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
CHI4
2016 LO-PHI: Low-Observable Physical Host Instrumentation for Malware Analysis
Chad Spensky, Hongyi Hu, Kevin Leach
NDSS2
2006 The CarTel mobile sensor computing system
abstract
No abstract available.
Vladimir Bychkovsky, Kevin Chen 0002, Michel Goraczko, Hongyi Hu, Bret Hull, Allen K. L. Miu, Eugene Shih, Hari Balakrishnan, Samuel Madden 0001
SenSys4
2006 Data management in the CarTel mobile sensor computing system
abstract
We 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 Conference4