Demo Data from EDBT 2026 / reviewers in the wild / expert
Bozhan Cao
dblp:401/2023
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0004-4967-5647ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging 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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Embedded and real-time systems · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Embedded and real-time systems › cyber-physical systems › robot systems
robotic manipulation |
1.0 | 1 | 2026 | PS3N: Probabilistic Spiking Structured State-Space Networks for Event-Based Visual-Tactile Slip Detection · IEEE Trans. Robotics 2026 |
Embedded and real-time systems › sensor systems
tactile sensing |
0.3 | 1 | 2026 | PS3N: Probabilistic Spiking Structured State-Space Networks for Event-Based Visual-Tactile Slip Detection · IEEE Trans. Robotics 2026 |
Methods — techniques the papers use, named apart from their topics
state-space networks · 1.0spiking neural network · 1.0probabilistic modeling · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | PS3N: Probabilistic Spiking Structured State-Space Networks for Event-Based Visual-Tactile Slip Detection
Senlin Fang, Yilin Li 0017, Bozhan Cao, Hoiio Kong, Zhengkun Yi |
IEEE Trans. Robotics | 7 |