Demo Data from EDBT 2026 / reviewers in the wild / expert
Yixin Wei
dblp:264/7266
· DBLP profile ↗
4ranked-venue papers
2as first author
3since 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 · 3 · 2 first-author · 3 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1
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.
| Artificial intelligence
1 paper |
Video understanding and tracking · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Personal fabrication and tangible interfaces · 44% Interaction techniques and input · 44% User interface design and tools · 13% | |
| Computer networks
1 paper |
Wireless sensing and localization · 100% |
Topics — the 4 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › Video understanding and tracking › object tracking
drone tracking |
0.9 | 1 | 2025 | Tracking Tiny Drones Against Clutter: Large-Scale Infrared Benchmark with Motion-Centric Adaptive Algorithm · ICCV 2025 |
Computer vision › Video understanding and tracking
object tracking |
0.9 | 1 | 2025 | Tracking Tiny Drones Against Clutter: Large-Scale Infrared Benchmark with Motion-Centric Adaptive Algorithm · ICCV 2025 |
Interaction techniques and input › mobile interaction › wearable device interaction
on-body interaction |
0.4 | 1 | 2020 | Zippro: The Design and Implementation of An Interactive Zipper · CHI 2020 |
Personal fabrication and tangible interfaces
tangible interaction |
0.4 | 1 | 2020 | Zippro: The Design and Implementation of An Interactive Zipper · CHI 2020 |
Methods — techniques the papers use, named apart from their topics
motion-centric adaptive algorithm · 1.7user study · 0.4prototype design · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Tracking Tiny Drones Against Clutter: Large-Scale Infrared Benchmark with Motion-Centric Adaptive Algorithm
Zongli Jiang, Jinli Zhang, Yixin Wei, Liang Li 0006, Yizheng Wang, Gang Wang 0031 |
ICCV | 4 |
| 2025 | FMA-Det: Inter-frame Motion-Aware Network for Anti-UAV Small Target Detection
Yixin Wei, Zongli Jiang, Yizheng Wang |
PRCV (17) | 1 |
| 2025 | Improving Orbital Angular Momentum Mode Utilization With Mode Switching Periodically in Radar Forward-Looking ImagingabstractThe infinity and orthogonality of the orbital angular momentum (OAM) of vortex electromagnetic waves (VEMWs) provide a new degree of freedom for the modulation of information. The VEMW generated by the uniform circular array (UCA) exhibits the characteristics of the Bessel function in terms of amplitude, and there is a null amplitude region in the beam center. This characteristic is particularly obvious when the array radius is small. In practical applications, it is usually necessary to switch OAM mode to ensure the richness of the received information. This leads to a sudden drop in radiation energy when switching OAM modes, and the OAM mode cannot be fully utilized. To address this issue, this paper proposes an OAM mode switching method based on the characteristics of the intersection of the adjacent-order Bessel functions for radar forward-looking imaging. Meanwhile, this paper introduces OAM mode repetition frequency (OMRF) to indicate the “speed” of switching OAM mode. Finally, through the application in the field of forward-looking radar imaging, it is proved that the method proposed in this paper can effectively improve the OAM mode utilization rate and anti-noise ability. Yixin Wei, Gaofeng Shu, Ning Li 0002 |
IEEE Signal Process. Lett. | 1 |
| 2020 | Zippro: The Design and Implementation of An Interactive ZipperabstractZippers are common in a wide variety of objects that we use daily. This work investigates how we can take advantage of such common daily activities to support seamless interaction with technology. We look beyond simple zipper-sliding interactions explored previously to determine how to weave foreground and background interactions into a vocabulary of natural usage patterns. We begin by conducting two user studies to understand how people typically interact with zippers. The findings identify several opportunities for zipper input and sensing, which inform the design of Zippro, a self-contained prototype zipper slider, which we evaluate with a standard jacket zipper. We conclude by demonstrating several applications that make use of the identified foreground and background input methods. Pin-Sung Ku, Jun Gong 0002, Te-Yen Wu, Yixin Wei, Barrett Ens, Xing-Dong Yang |
CHI | 4 |