Demo Data from SIGIR 2026 / reviewers in the wild / expert
Xin Dong 0020
dblp:126/6361-20
· DBLP profile ↗
3ranked-venue papers
0as first author
3since 2021 · last 2026
0000-0002-5243-7402ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 since 2021Systems, architecture and hardware · 1 · 1 since 2021Human-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.
| Artificial intelligence
1 paper |
Legged, aerial and field robots · 56% Motion planning and robot control · 44% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots
aerial robots |
0.6 | 1 | 2022 | Liftoff of A Motor-Driven Flapping Wing Rotorcraft with Mechanically Decoupled Wings · ICRA 2022 |
Robotics › Motion planning and robot control
robot control |
0.6 | 1 | 2022 | Liftoff of A Motor-Driven Flapping Wing Rotorcraft with Mechanically Decoupled Wings · ICRA 2022 |
Robotics › Legged, aerial and field robots › aerial robots
flapping-wing robot |
0.2 | 1 | 2022 | Liftoff of A Motor-Driven Flapping Wing Rotorcraft with Mechanically Decoupled Wings · ICRA 2022 |
Methods — techniques the papers use, named apart from their topics
multi-objective optimization · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Wavelet-enhanced transformers for real-time event-based object detection in low-light environments
Yangjie Cui, Zhan Tu, Daochun Li, Boyang Gao, Jinwu Xiang, Xin Dong 0020 |
Neurocomputing | 7 |
| 2025 | Air-Ground Cooperative Multitarget Hierarchical Tracking Method Based on Aerial Fisheye ViewabstractThe multitarget tracking of multirobot systems has a wide range of applications, including urban security, search, and rescue. However, these tasks often take place in obstacle-rich environments, posing significant challenges, such as an unknown global map, unclear target locations, and inefficient resource allocation. In this article, we propose an air–ground cooperative hierarchical method for multitarget tracking. The uncrewed aerial vehicle (UAV) is equipped with a fisheye camera to provide a wide field of view (FOV) for multitarget detection and an initial global map generated from segmented aerial images. Multiple targets are assigned to uncrewed ground vehicles (UGVs) using the task allocation method, which is based on the PIO and auction mechanism. UGV track targets through motion planning to avoid obstacles and keep their assigned targets in the FOV. Experimental validation confirmed the effectiveness of our method, demonstrating that UGVs can autonomously and reliably track targets in obstacle-rich environments with UAV assistance. Yangjie Cui, Hongyi Lu, Xin Dong 0020, Jinwu Xiang, Daochun Li, Zhan Tu |
IEEE Trans. Syst. Man Cybern. Syst. | 3 |
| 2022 | Liftoff of A Motor-Driven Flapping Wing Rotorcraft with Mechanically Decoupled WingsabstractFlapping Wing Rotorcraft (FWR) combines flapping and rotating wing motion in one element. Such a hybrid design integrates the high-efficiency characteristics of the rotating wing and the high-lift feature of the flapping wing under low Reynolds number, providing a broader range of simultaneous lift and power efficiency optimization. Nevertheless, the flight performance of the current FWRs is limited by their complex transmission mechanisms. Such mechanical constraints not only induce coupled wing kinematics but also render tedious assembly work and fabrication imperfections. In order to fundamentally address the constraints, we propose a motor-driven FWR with mechanically decoupled wings. The wing of the proposed DFWR is directly actuated by two bi-directional rotating motors instead of using the crank rocker (or alike) transmission. The proposed DFWR flaps within 25Hz to 35Hz, with about 12.4 grams of system weight and 185mm wingspan. With the direct-drive principle, the wing kinematics can be modulated properly by real-time motor control. In particular, we tuned the flapping frequency, stroke amplitude, and mid-stroke angle of the proposed direct-drive FWR to attain its best lift performance. As a result, it can generate about 16 grams of maximum total lift. In order to validate the proposed design, free flight tests have been conducted. The proposed FWR demonstrates stable liftoff. Xin Dong 0020, Daochun Li, Zhan Tu |
ICRA | 4 |