EDBT 2026 Demo / reviewers in the wild / expert
Wanting Yao
dblp:424/1427
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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 · 87% Reinforcement learning · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › robot learning › manipulation task learning
goal-conditioned manipulation |
0.9 | 1 | 2025 | Hyper-GoalNet: Goal-Conditioned Manipulation Policy Learning with HyperNetworks · NeurIPS 2025 |
Robotics › Motion planning and robot control › robot learning
manipulation skill learning |
0.9 | 1 | 2025 | Hyper-GoalNet: Goal-Conditioned Manipulation Policy Learning with HyperNetworks · NeurIPS 2025 |
Machine learning › Reinforcement learning › goal-conditioned reinforcement learning
goal-conditioned policy learning |
0.3 | 1 | 2025 | Hyper-GoalNet: Goal-Conditioned Manipulation Policy Learning with HyperNetworks · NeurIPS 2025 |
Methods — techniques the papers use, named apart from their topics
hypernetwork · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Hyper-GoalNet: Goal-Conditioned Manipulation Policy Learning with HyperNetworks
Wanting Yao, Xunzhe Zhou, Yanchao Yang 0001 |
NeurIPS | 2 |