Yong Luo

We propose an automatica data engine framework for quantum property estimation under limited quantum resources.

We propose a training-free projection-based continual merging method that efficiently combines models incrementally.

In this paper, we propose Value-Guided Decision Transformer (VDT), which employs progressively optimized value functions to guide the Decision Transformer (DT) in making optimal decisions.

We present a prompt based multimodal semantic segmentation on the basis of pertained single-modality RGB model