Demo Data from EDBT 2026 / reviewers in the wild / expert
Yufu Qiu
dblp:348/4013
· DBLP profile ↗
3ranked-venue papers
1as first author
3since 2021 · last 2026
0000-0002-8031-1356ORCID · corroborated
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 · 2 · 2 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 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
2 papers |
Video understanding and tracking · 53% Robot manipulation · 47% | |
| Interdisciplinary, comprehensive, and emerging computing
2 papers |
Medical and health informatics · 100% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation › medical robotics
needle steering |
1.0 | 1 | 2026 | A Single Hydraulic Bellows-Based MRI-Safe Robotic Needle Driver Capable of Independent and Coupled Needle Translation and Rotation · IEEE Trans. Robotics 2026 |
Computer vision › Video understanding and tracking
object tracking |
0.9 | 1 | 2025 | Motion-Guided Dual-Camera Tracker for Endoscope Tracking and Motion Analysis in a Mechanical Gastric Simulator · ICRA 2025 |
Medical and health informatics › computer-assisted surgery
surgical motion analysis |
0.9 | 1 | 2025 | Motion-Guided Dual-Camera Tracker for Endoscope Tracking and Motion Analysis in a Mechanical Gastric Simulator · ICRA 2025 |
Computer vision › Video understanding and tracking
multi-camera tracking |
0.3 | 1 | 2025 | Motion-Guided Dual-Camera Tracker for Endoscope Tracking and Motion Analysis in a Mechanical Gastric Simulator · ICRA 2025 |
Methods — techniques the papers use, named apart from their topics
hydraulic bellows actuation · 2.0siamese tracking · 1.7mamba-based motion prediction · 1.7cross-camera mutual template · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | A Single Hydraulic Bellows-Based MRI-Safe Robotic Needle Driver Capable of Independent and Coupled Needle Translation and Rotation
Yufu Qiu, Haiyang Fang, Kwan Kit Lin, Shing Shin Cheng |
IEEE Trans. Robotics | 1 |
| 2025 | Motion-Guided Dual-Camera Tracker for Endoscope Tracking and Motion Analysis in a Mechanical Gastric SimulatorabstractFlexible endoscope motion tracking and analysis in mechanical simulators have proven useful for endoscopy training. Common motion tracking methods based on electromagnetic tracker are however limited by their high cost and material susceptibility. In this work, the motion-guided dual-camera vision tracker is proposed to provide robust and accurate tracking of the endoscope tip's 3D position. The tracker addresses several unique challenges of tracking flexible endoscope tip inside a dynamic, life-sized mechanical simulator. To address the appearance variation and keep dualcamera tracking consistency, the cross-camera mutual template strategy (CMT) is proposed by introducing dynamic transient mutual templates. To alleviate large occlusion and light-induced distortion, the Mamba-based motion-guided prediction head (MMH) is presented to aggregate historical motion with visual tracking. The proposed tracker achieves superior performance against state-of-the-art vision trackers, achieving 42% and 72% improvements against the second-best method in average error and maximum error. Further motion analysis involving novice and expert endoscopists also shows that the tip 3D motion provided by the proposed tracker enables more reliable motion analysis and more substantial differentiation between different expertise levels, compared with other trackers. Project page: https://github.com/PieceZhang/MotionDCTrack Yuelin Zhang, Kim Yan, Chun Ping Lam, Chengyu Fang 0001, Wenxuan Xie, Yufu Qiu, Raymond Shing-Yan Tang, Shing Shin Cheng |
ICRA | 6 |
| 2023 | Towards MR-Safe Concentric Bellows-Based Hydrostatic Linear Actuator for a Needle DriverabstractMagnetic resonance imaging (MRI) is increasingly used for robotic needle-based clinical diagnosis and therapy due to its high resolution and high soft tissue contrast. A needle driver therefore becomes an essential part of these MRI -guided robotic systems to perform in-bore needle placement under continuous MR imaging. However, existing actuator designs for needle drivers are constrained by the high magnetic field and the bore size of the MR scanner, and most lack high- performance capability, especially in terms of large output force and long stroke. In this work, we introduce an MR-safe concentric bellows linear actuator (CBLA) with improved performance over the existing designs. This soft actuator achieves 45N output force, 77 % stroke-length ratio for the bellows, and around 250% stroke-diameter ratio. A mathematical model was built to characterize the behavior of the actuator to provide guidance for the actuator design. The fabrication and experimental evaluation of the actuator are also presented. The results demonstrate the effectiveness of the CBLA design and the strong potential of its application in MR-guided surgical procedures. Kwan Kit Lin, Yufu Qiu, Kim Yan, Qingpeng Ding, Shing Shin Cheng |
IROS | 2 |