Demo Data from VLDB 2026 / reviewers in the wild / expert
Shuopeng Wang
dblp:232/0554
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2025
0000-0003-0780-7037ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Applied, 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.
| Artificial intelligence
1 paper |
Motion planning and robot control · 50% Learning paradigms · 25% Trustworthy machine learning · 25% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Learning paradigms › supervised learning › neural network regression
deep regression |
0.9 | 1 | 2025 | Learning-Based Motion Planning Leveraging Multivariate Deep Evidential Regression · IEEE Trans. Robotics 2025 |
Machine learning › Trustworthy machine learning › uncertainty estimation
evidential regression |
0.9 | 1 | 2025 | Learning-Based Motion Planning Leveraging Multivariate Deep Evidential Regression · IEEE Trans. Robotics 2025 |
Robotics › Motion planning and robot control › motion planning
learning-based motion planning |
0.9 | 1 | 2025 | Learning-Based Motion Planning Leveraging Multivariate Deep Evidential Regression · IEEE Trans. Robotics 2025 |
Robotics › Motion planning and robot control
motion planning |
0.9 | 1 | 2025 | Learning-Based Motion Planning Leveraging Multivariate Deep Evidential Regression · IEEE Trans. Robotics 2025 |
Methods — techniques the papers use, named apart from their topics
multivariate deep evidential regression · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Dynamic modeling and control of pneumatic artificial muscles via Deep Lagrangian Networks and Reinforcement Learning
Shuopeng Wang, Ying Zhang 0055, Lina Hao |
Eng. Appl. Artif. Intell. | 1 |
| 2025 | Learning-Based Motion Planning Leveraging Multivariate Deep Evidential Regression
Shuopeng Wang, Jintao Ye, Ying Zhang 0055, Lina Hao |
IEEE Trans. Robotics | 2 |