Demo Data from SIGIR 2026 / reviewers in the wild / expert
Soe Lin Paing
dblp:232/3528
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 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 |
Motion planning and robot control · 100% | |
| Computer networks
1 paper |
Physical-layer communications · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control
robot control |
0.9 | 1 | 2025 | A New Variable-Gain Sliding Mode Filter and Its Application to Velocity Filtering · ICRA 2025 |
Robotics › Motion planning and robot control › robot control
sliding mode control |
0.9 | 1 | 2025 | A New Variable-Gain Sliding Mode Filter and Its Application to Velocity Filtering · ICRA 2025 |
Physical-layer communications
noise suppression |
0.3 | 1 | 2025 | A New Variable-Gain Sliding Mode Filter and Its Application to Velocity Filtering · ICRA 2025 |
Physical-layer communications
signal processing for communications |
0.3 | 1 | 2025 | A New Variable-Gain Sliding Mode Filter and Its Application to Velocity Filtering · ICRA 2025 |
Methods — techniques the papers use, named apart from their topics
variable windowing · 1.7sliding mode filter · 1.7implicit euler method · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | A New Variable-Gain Sliding Mode Filter and Its Application to Velocity FilteringabstractThis paper proposes a new variable gain sliding mode filter augmented by variable windowing for achieving smooth and reactive response over a broad range of input frequencies. The proposed filter can be seen as a synergistic combination of Kikuuwe et al.'s [1] sliding mode filter with varying gain and sliding surfaces and a novel varying-length moving-window algorithm. In all schemes, the estimated input speed is employed for rendering the filter parameters between low and high settings. The discrete-time algorithm of the proposed filter does not suffer from chattering due to implicit (backward) Euler method. The effectiveness of the proposed filter in achieving better trade-off between noise attenuation and signal preservation is validated in both simulation and experimental scenarios by using the velocity signal obtained by differentiation of quantized position data. Myo Thant Sin Aung, Ryo Kikuuwe, Soe Lin Paing, Jun Yang 0029, Haoyong Yu |
ICRA | 3 |