3 papers
cs.LG2026
Cold-Start Active Correlation Clustering
Linus Aronsson, Han Wu, Morteza Haghir Chehreghani
We study active correlation clustering where pairwise similarities are not provided upfront and must be queried in a cost-efficient manner through active learning. Specifically, we…
cs.LG2026
AFABench: A Generic Framework for Benchmarking Active Feature Acquisition
Valter Schütz, Han Wu, Reza Rezvan +2
In many real-world scenarios, acquiring all features of a data instance can be expensive or impractical due to monetary cost, latency, or privacy concerns. Active Feature Acquisiti…
cs.RO2025
Collaborate sim and real: Robot Bin Packing Learning in Real-world and Physical Engine
Lidi Zhang, Han Wu, Liyu Zhang +6
The 3D bin packing problem, with its diverse industrial applications, has garnered significant research attention in recent years. Existing approaches typically model it as a discr…