Demo Data from EDBT 2026 / reviewers in the wild / expert
Yaqi He
dblp:209/7058
· DBLP profile ↗
4ranked-venue papers
2as first author
4since 2021 · last 2025
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author · 2 since 2021Security and privacy · 1 · 1 first-author · 1 since 2021Databases, data management, data science and information retrieval · 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.
| Theoretical computer science
1 paper |
Computational geometry · 100% | |
| Computer graphics and multimedia
1 paper |
Geometric modeling and processing · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing
curve reconstruction |
0.7 | 1 | 2023 | Robust Reconstruction of Closed Parametric Curves by Topological Understanding with Persistent Homology · Comput. Aided Des. 2023 |
Computational geometry › topological data analysis
persistent homology |
0.7 | 1 | 2023 | Robust Reconstruction of Closed Parametric Curves by Topological Understanding with Persistent Homology · Comput. Aided Des. 2023 |
Computational geometry › computational topology
topological analysis |
0.7 | 1 | 2023 | Robust Reconstruction of Closed Parametric Curves by Topological Understanding with Persistent Homology · Comput. Aided Des. 2023 |
Methods — techniques the papers use, named apart from their topics
persistent homology · 1.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | A dynamic-radius-based fusion gravity model for influential nodes identification
Yaqi He, Yanxin Liu |
Inf. Sci. | 2 |
| 2024 | Swipe2Pair: Secure and Fast In-Band Wireless Device PairingabstractWireless device pairing is a critical security mechanism to bootstrap the secure communication between two devices without a pre-shared secret. It has been widely used in many Internet of Things (IoT) applications, such as smarthome and smarthealth. Most existing device pairing mechanisms are based on out-of-band channels, e.g., extra sensors or hardware, to validate the location proximity of pairing devices. However, out-of-band channels are not universal on all wireless devices, thus this type of scheme is limited to certain application scenarios or conditions. On the other hand, in-band channel-based device pairing aims at universal applicability by only relying on wireless interfaces. Existing in-band channel-based pairing schemes either require multiple antennas separated in a good distance on one pairing devices which is not applicable in certain scenarios, or require users to repeat multiple sweeps which is not optimal in terms of usability. Therefore, an in-band wireless device pairing scheme providing high security while maintaining good usability (simple pairing process and user interaction) is highly desired. In this work, we propose an easy-to-use mutual authentication device pairing scheme, named Swipe2Pair, based on location proximity of pairing devices and wireless transmission power randomization. We conduct extensive security analysis and collect considerable experimental data under various settings in different environments. Experimental results show that Swipe2Pair achieves high security and usability. It only takes less than one second to complete the pairing process with a simple swipe of one device in front of the other. Yaqi He, Kai Zeng 0001, Long Jiao, Brian L. Mark, Khaled N. Khasawneh |
WISEC | 1 |
| 2023 | Robust Reconstruction of Closed Parametric Curves by Topological Understanding with Persistent Homology
Yaqi He, Jiacong Yan |
Comput. Aided Des. | 1 |
| 2021 | Fast calculation of Laplace-Beltrami eigenproblems via subdivision linear subspace
Chenkai Xu, Yaqi He |
Comput. Graph. | 4 |